The Integration of Artificial Intelligence into Clinical Practice

Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

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The potential for artificial intelligence in healthcare

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30 years of adaptive neural networks: perceptron, Madaline, and backpropagation

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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography

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Clinical Classification of Age-related Macular Degeneration

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Planning chemical syntheses with deep neural networks and symbolic AI

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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

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Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

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Prevalence of chronic pain in the UK: a systematic review and meta-analysis of population studies

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The artificial intelligence clinician learns optimal treatment strategies for sepsis in intensive care

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Postoperative pain and quality of life after lobectomy via video-assisted thoracoscopic surgery or anterolateral thoracotomy for early stage lung cancer: a randomised controlled trial

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History of artificial intelligence in medicine

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Solubility Advantage of Amorphous Drugs and Pharmaceutical Cocrystals

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Disease variant prediction with deep generative models of evolutionary data

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Artificial Intelligence in Cardiovascular Imaging

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Efficacy of real-time computer-aided detection of colorectal neoplasia in a randomized trial

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Survey of Explainable AI Techniques in Healthcare

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Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis

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Application of Artificial Intelligence to Gastroenterology and Hepatology

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Tooth detection and numbering in panoramic radiographs using convolutional neural networks

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Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study

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Incidence and progression of diabetic retinopathy: a systematic review

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Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas

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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

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End-to-End Adversarial Retinal Image Synthesis

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Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery

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Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial

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Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography

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Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging

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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications

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Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board

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DeepSeeNet: A Deep Learning Model for Automated Classification of Patient-based Age-related Macular Degeneration Severity from Color Fundus Photographs

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The American Society of Anesthesiologists Closed Claims Project

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Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

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An overview of deep learning in the field of dentistry

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Visualizing non-metric similarities in multiple maps

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Artificial intelligence in drug design

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Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies

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An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images

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The Artificial Life Route to Artificial Intelligence

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A deep convolutional neural network for classification of red blood cells in sickle cell anemia

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High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning

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Artificial intelligence using convolutional neural networks for real-time detection of early esophageal neoplasia in Barrett’s esophagus (with video)

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Artificial Intelligence in Healthcare: Review, Ethics, Trust Challenges & Future Research Directions

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Artificial Neural Networks in the Diagnosis and Prognosis of Prostate Cancer: A Pilot Study

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Deep Learning for Diagnosis of Chronic Myocardial Infarction on Nonenhanced Cardiac Cine MRI

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Pathologist-level classification of histopathological melanoma images with deep neural networks

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Machine learning in pain research

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Novel Artificial Neural Network for Early Detection of Prostate Cancer

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Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI

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Applying Machine Learning in Liver Disease and Transplantation: A Comprehensive Review

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Artificial intelligence in neurodegenerative disease research: use of IBM Watson to identify additional RNA-binding proteins altered in amyotrophic lateral sclerosis

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Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases

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Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes

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3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas

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Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning

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Real-time use of artificial intelligence in the evaluation of cancer in Barrett’s oesophagus

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An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures

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Deep learning approach to peripheral leukocyte recognition

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Point-of-Care Screening for Heart Failure with Reduced Ejection Fraction Using Artificial Intelligence during ECG-Enabled Stethoscope Examination in London, UK: A Prospective, Observational, Multicentre Study

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Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis

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Informed Consent and Medical Artificial Intelligence: What to Tell the Patient?

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Drusen volume development over time and its relevance to the course of age-related macular degeneration

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Comparison of Cox Regression With Other Methods for Determining Prediction Models and Nomograms

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The Coding of Roentgen Images for Computer Analysis as Applied to Lung Cancer

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Trends of nonmelanoma skin cancer from 1960 through 2000 in a Canadian population

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Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network

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An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients

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Improving the prognosis of health care in the USA

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Comparing clinical judgment with the MySurgeryRisk algorithm for preoperative risk assessment: a pilot usability study.

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Automated drusen segmentation and quantification in SD-OCT images

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An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction

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Diagnostic Performance of Deep Learning Algorithms Applied to Three Common Diagnoses in Dermatopathology

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Molecular simulation as a computational pharmaceutics tool to predict drug solubility, solubilization processes and partitioning

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Artificial Intelligence: A New Tool in Operating Room Management. Role of Machine Learning Models in Operating Room Optimization

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Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells

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New Horizons: Artificial Intelligence for Digital Breast Tomosynthesis

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The Performance of an Artificial Neural Network Model in Predicting the Early Distribution Kinetics of Propofol in Morbidly Obese and Lean Subjects

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Predictive models for stage and risk classification in head and neck squamous cell carcinoma (HNSCC)

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Constructing a prediction model for difficult intubation of obese patients based on machine learning

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Unexpected Inequality: Disparate-Impact From Artificial Intelligence in Healthcare Decisions.

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Global teledermatology

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Outcome Assessment of Patients With Metastatic Renal Cell Carcinoma Under Systemic Therapy Using Artificial Neural Networks

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How Artificial Intelligence for Healthcare Look Like in the Future?

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Machine Learning in Bioequivalence: Towards Identifying an Appropriate Measure of Absorption Rate

Karalis, V. D. (2022) · Applied Sciences · doi:10.3390/app13010418 · Cited by 14 · see citing works

Neural network-based detection of esophageal intubation in anesthetized patients

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Prognostic models in predicting outcomes in myelodysplastic syndromes after hypomethylating agent failure

Patel, S. S., Sekeres, M. A., & Nazha, A. (2017) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.1080/10428194.2017.1307361 · Cited by 13 · see citing works

Intelligent Algorithm-Based Analysis on Ultrasound Image Characteristics of Patients with Lower Extremity Arteriosclerosis Occlusion and Its Correlation with Diabetic Mellitus Foot

Wu, Y., Shen, Y. G., & Sun, H. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/7758206 · Cited by 13 · see citing works

On the Interplay between Machine Learning, Population Pharmacokinetics, and Bioequivalence to Introduce Average Slope as a New Measure for Absorption Rate

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Progress and prospects for artificial intelligence in clinical practice: learning from COVID-19

Ferrara, P., Battiato, S., & Polosa, R. (2022) · Internal and Emergency Medicine · doi:10.1007/s11739-022-03080-z · Cited by 10 · see citing works

Quantification of structural changes in the corpus callosumin children with profound hypoxic–ischaemic brain injury

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Chronic Pain Challenge: A Statistical Machine-learning Method for Chronic Pain Assessment

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Quality use of artificial intelligence in medical imaging: What do radiologists need to know?

Goergen, S., Frazer, H. M. L., & Reddy, S. (2022) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.13379 · Cited by 7 · see citing works

An In Silico Approach toward the Appropriate Absorption Rate Metric in Bioequivalence

Karalis, V. D. (2023) · Pharmaceuticals · doi:10.3390/ph16050725 · Cited by 7 · see citing works

Pseudo-marginal Bayesian inference for Gaussian process latent variable models

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P13.02.B Fully automated segmentation and volumetric measurement of intracranial meningioma using deep learning

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Charles River licenses ERS Genomics' CRISPR/Cas9 technology

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Artificial Intelligence in Healthcare and Medicine: Clinical Applications, Therapeutic Advances, and Future Perspectives

Fahim, Y. A., Hasani, I. W., Kabba, S., & Ragab, W. M. (2025) · European Journal of Medical Research · doi:10.1186/s40001-025-03196-w · Cited by 329 · see citing works

AI-driven innovations in Alzheimer's disease: Integrating early diagnosis, personalized treatment, and prognostic modelling

Kale, M. B., Wankhede, N. L., Pawar, R. S., Ballal, S., Kumawat, R., Goswami, M., Khalid, M., Taksande, B. G., Upaganlawar, A. B., Umekar, M. J., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102497 · Cited by 199 · see citing works

AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis

Alum, E. U. (2025) · Discover Oncology · doi:10.1007/s12672-025-02064-7 · Cited by 155 · see citing works

Next-Generation Immunotherapy: Advancing Clinical Applications in Cancer Treatment

Garg, P. K., Pareek, S., Kulkarni, P., Horne, D., Salgia, R., & Singhal, S. S. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13216537 · Cited by 123 · see citing works

Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare

Parvin, N., Joo, S., Jung, J. H., & Mandal, T. K. (2025) · Nanomaterials · doi:10.3390/nano15120895 · Cited by 130 · see citing works

Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry

Yadav, S., Singh, A., Singhal, R., & Yadav, J. P. (2024) · Intelligent Pharmacy · doi:10.1016/j.ipha.2024.02.009 · Cited by 108 · see citing works

Integrative review of artificial intelligence applications in nursing: education, clinical practice, workload management, and professional perceptions

Arab, R. A. E., Moosa, O. A. A., Sagbakken, M., Ghannam, A., Abuadas, F. H. A., Somerville, J. G., & Mutair, A. S. A. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1619378 · Cited by 119 · see citing works

Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders

Calderone, A., Latella, D., Bonanno, M., Quartarone, A., Mojdehdehbaher, S., Celesti, A., & Calabrò, R. S. (2024) · Biomedicines · doi:10.3390/biomedicines12102415 · Cited by 78 · see citing works

Bibliometric analysis of artificial intelligence in healthcare research: Trends and future directions

Senthil, R., Anand, T., Somala, C. S., & Saravanan, K. M. (2024) · Future Healthcare Journal · doi:10.1016/j.fhj.2024.100182 · Cited by 82 · see citing works

Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions

Pham, T. D., Teh, M., Chatzopoulou, D., Holmes, S., & Coulthard, P. (2024) · Current Oncology · doi:10.3390/curroncol31090389 · Cited by 70 · see citing works

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Kabashkin, I., & Perekrestov, V. (2024) · Applied Sciences · doi:10.3390/app14114394 · Cited by 62 · see citing works

Ethical and regulatory considerations in the use of AI and machine learning in nursing: A systematic review

Mohammed, S. A. A. Q., Osman, Y. M. M., Ibrahim, A. M., & Shaban, M. (2025) · International Nursing Review · doi:10.1111/inr.70010 · Cited by 88 · see citing works

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Ho, J. Q. H., Hartanto, A., Koh, A., & Majeed, N. M. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100145 · Cited by 74 · see citing works

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Kopalli, S. R., Shukla, M., Jayaprakash, B., Kundlas, M., Srivastava, A., Jagtap, J., Gulati, M., Chigurupati, S., Ibrahim, E., Khandige, P. S., et al. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.03.017 · Cited by 54 · see citing works

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Hussain, D., Al‐masni, M. A., Aslam, M., Sadeghi‐Niaraki, A., Hussain, J., Gu, Y. H., & Naqvi, R. A. (2024) · Journal of X-Ray Science and Technology · doi:10.3233/xst-230429 · Cited by 50 · see citing works

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Crocetto, F., Musone, M., Chianese, S., Conforti, P., Selvaggio, G. D., Caputo, V. F., Falabella, R., Giudice, F. D., Giulioni, C., Cafarelli, A., et al. (2025) · The Journal of Liquid Biopsy · doi:10.1016/j.jlb.2025.100305 · Cited by 46 · see citing works

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Ghimire, A., & Qiu, Y. (2025) · Nurse Education in Practice · doi:10.1016/j.nepr.2025.104330 · Cited by 48 · see citing works

Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology

Tiwari, A. K., Widodo, Krisnawati, D. I., Tzou, K.-Y., & Kuo, T. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03952-4 · Cited by 52 · see citing works

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Olawade, D. B., Weerasinghe, K., Mathugamage, M. D. D. E., Odetayo, A., Aderinto, N., Teke, J., & Boussios, S. (2025) · Medicina · doi:10.3390/medicina61030433 · Cited by 50 · see citing works

Pathology in the artificial intelligence era: Guiding innovation and implementation to preserve human insight

Gaffney, H. J., & Mirza, K. (2025) · Academic Pathology · doi:10.1016/j.acpath.2025.100166 · Cited by 41 · see citing works

Artificial intelligence in personalized medicine: transforming diagnosis and treatment

Alum, E. U., & Ugwu, O. P.-C. (2025) · Discover Applied Sciences · doi:10.1007/s42452-025-06625-x · Cited by 38 · see citing works

Microbiology in the era of artificial intelligence: transforming medical and pharmaceutical microbiology

Tsitou, V.-M., Rallis, D., Cekova, M., & Yanev, N. (2024) · Biotechnology & Biotechnological Equipment · doi:10.1080/13102818.2024.2349587 · Cited by 44 · see citing works

Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study

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AI technology to support adaptive functioning in neurodevelopmental conditions in everyday environments: a systematic review

Perry, N., Sun, C., Munro, M., Boulton, K., & Guastella, A. J. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01355-7 · Cited by 45 · see citing works

Leveraging State-of-the-Art AI Algorithms in Personalized Oncology: From Transcriptomics to Treatment

Shams, A. M. (2024) · Diagnostics · doi:10.3390/diagnostics14192174 · Cited by 36 · see citing works

Artificial intelligence in veterinary and animal science: applications, challenges, and future prospects

Hossein‐Zadeh, N. G. (2025) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2025.110395 · Cited by 42 · see citing works

Evaluating the impact of artificial intelligence in antimicrobial stewardship: a comparative meta-analysis with traditional risk scoring systems

Pinto, A., Pennisi, F., Ricciardi, G. E., Signorelli, C., & Gianfredi, V. (2025) · Infectious Diseases Now · doi:10.1016/j.idnow.2025.105090 · Cited by 33 · see citing works

Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic

Sallam, M., Al-Mahzoum, K., Alshuaib, O., Alhajri, H., Alotaibi, F., Alkhurainej, D., Al-Balwah, M. Y., Barakat, M. M., & Egger, J. (2024) · BMC Infectious Diseases · doi:10.1186/s12879-024-09725-y · Cited by 36 · see citing works

Utilizing Feature Selection Techniques for AI-Driven Tumor Subtype Classification: Enhancing Precision in Cancer Diagnostics

Wang, J., Zhang, Z., & Wang, Y. (2025) · Biomolecules · doi:10.3390/biom15010081 · Cited by 32 · see citing works

The Limitations of Artificial Intelligence in Head and Neck Oncology

Rao, K. N., Fernandez-Alvarez, V., Guntinas-Lichius, O., Sreeram, M. P., de Bree, R., Kowalski, L. P., Forastiere, A., Pace-Asciak, P., Rodrigo, J. P., Saba, N. F., et al. (2025) · Advances in Therapy · doi:10.1007/s12325-025-03198-4 · Cited by 34 · see citing works

Medical students and house officers’ perception, attitude and potential barriers towards artificial intelligence in Egypt, cross sectional survey

Allam, R. M., Abdelfatah, D., Khalil, M. I. M., Elsaieed, M. M., & Desouky, E. D. E. (2024) · BMC Medical Education · doi:10.1186/s12909-024-06201-8 · Cited by 35 · see citing works

Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants

Al-Remawi, M. M., Agha, A. S. A. A., Al‐Akayleh, F., Aburub, F. A. F., & Abdel‐Rahem, R. A. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e40925 · Cited by 30 · see citing works

Endometriosis as a Systemic and Complex Disease: Toward Phenotype-Based Classification and Personalized Therapy

Simancas‐Racines, D., Jiménez-Flores, E., Montalván, M., Horowitz, R., Araujo, V., & Reytor-González, C. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27020908 · Cited by 32 · see citing works

Advanced imaging techniques and artificial intelligence in pleural diseases: a narrative review

Marchi, G., Mercier, M., Cefalo, J., Salerni, C., Ferioli, M., Candoli, P., Gori, L., Cucchiara, F., Cenerini, G., Guglielmi, G., et al. (2025) · European Respiratory Review · doi:10.1183/16000617.0263-2024 · Cited by 28 · see citing works

Data Ownership in the AI-Powered Integrative Health Care Landscape

Liu, S., & Guo, L. (2024) · JMIR Medical Informatics · doi:10.2196/57754 · Cited by 27 · see citing works

Evaluating the impact of AI-generated educational content on patient understanding and anxiety in endodontics and restorative dentistry: a comparative study

Islam, S. (2025) · BMC Oral Health · doi:10.1186/s12903-025-06069-0 · Cited by 27 · see citing works

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Mairi, A., Hamza, L., & Touati, A. (2025) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2025.2484284 · Cited by 30 · see citing works

AI‐Enhanced Predictive Imaging in Precision Medicine: Advancing Diagnostic Accuracy and Personalized Treatment

Rajendran, A., Rajan, R. A., Balasubramaniyam, S., & Elumalai, K. (2025) · iRadiology · doi:10.1002/ird3.70027 · Cited by 30 · see citing works

A Comprehensive Review of Artificial Intelligence in Prostate Cancer Care: State-of-the-Art Diagnostic Tools and Future Outlook

Agrawal, S., & Vagha, S. J. (2024) · Cureus · doi:10.7759/cureus.66225 · Cited by 32 · see citing works

Artificial Intelligence for Cervical Spine Fracture Detection: A Systematic Review of Diagnostic Performance and Clinical Potential

Liawrungrueang, W., Cholamjiak, W., Promsri, A., Jitpakdee, K., Sunpaweravong, S., Kotheeranurak, V., & Sarasombath, P. (2025) · Global Spine Journal · doi:10.1177/21925682251314379 · Cited by 24 · see citing works

Opportunities, challenges and future perspectives of using bioinformatics and artificial intelligence techniques on tropical disease identification using omics data

Vidanagamachchi, S., & Waidyarathna, K. M. G. T. R. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1471200 · Cited by 23 · see citing works

Writing the Future: Artificial Intelligence, Handwriting, and Early Biomarkers for Parkinson’s Disease Diagnosis and Monitoring

Marano, G., Rossi, S., Marzo, E. M., Ronsisvalle, A., Artuso, L., Traversi, G., Pallotti, A., Bove, F., Piano, C., Bentivoglio, A. R., et al. (2025) · Biomedicines · doi:10.3390/biomedicines13071764 · Cited by 27 · see citing works

Revolutionizing clinical laboratories: The impact of artificial intelligence in diagnostics and patient care

Ashraf, A. A., Rai, S., Alva, S. S., Alva, P. D., & Naresh, S. (2025) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2025.116728 · Cited by 20 · see citing works

Internet of Things and Big Data Analytics in Preventive Healthcare: A Synthetic Review

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Artificial Intelligence in Health Promotion and Disease Reduction: Rapid Review

Yousefi, F., Naye, F., Ouellet, S., Yameogo, A. R., Sasseville, M., Bergeron, F., Ozkan, M., Cousineau, M., Amil, S., Rhéaume, C., et al. (2025) · Journal of Medical Internet Research · doi:10.2196/70381 · Cited by 26 · see citing works

Ethical and Regulatory Frameworks for Artificial Intelligence in Clinical Research: A European Perspective on the Artificial Intelligence Act for Ethics Committees and Researchers

Barucci, A., Colcelli, V., Masi, S. D., Falconi, M., Leo, M. C., Marzola, A., Romagnuolo, I., Sforzi, C., & Pini, R. (2026) · European Cardiology Review · doi:10.15420/ecr.2025.59 · Cited by 19 · see citing works

Generative Artificial Intelligence in Academic Surgery: Ethical Implications and Transformative Potential

Robinson, J. R., Stey, A. M., Schneider, D. F., Kothari, A. N., Lindeman, B. M., Kaafarani, H. M. A., & Haines, K. (2025) · Journal of Surgical Research · doi:10.1016/j.jss.2024.12.059 · Cited by 18 · see citing works

Perceptions of the Impact of Artificial Intelligence among Internal Medicine Physicians as a Step in Social Responsibility Implementation: A Cross-Sectional Study

Dumitraşcu, L.-M., Lespezeanu, D. A., Zugravu, C., & Constantin, C. (2024) · Healthcare · doi:10.3390/healthcare12151502 · Cited by 18 · see citing works

AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights

Stamate, E., Culea-Florescu, A.-L., Miron, M., Piraianu, A. I., Dumitrascu, A. G., Fulga, I., Fulga, A., Patrascanu, O. S., Iancu, D., Ciobotaru, O. C., et al. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14113698 · Cited by 18 · see citing works

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Guerra, R. (2024) · Italian Journal of Medicine · doi:10.4081/itjm.2024.1721 · Cited by 14 · see citing works

Implementation of a Generative AI Algorithm for Virtually Increasing the Sample Size of Clinical Studies

Nikolopoulos, A., & Karalis, V. D. (2024) · Applied Sciences · doi:10.3390/app14114570 · Cited by 15 · see citing works

Epigenetic Biomarkers in Thrombophilia-Related Pregnancy Complications: Mechanisms, Diagnostic Potential, and Therapeutic Implications: A Narrative Review

Bardan, C. R., Ioniță, I., Iordache, M. C., Călămar-Popovici, D., Todorescu, V., Popescu, R., Bernad, B.-C., Bardan, R. T., & Bernad, E. S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252413634 · Cited by 15 · see citing works

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Biondi‐Zoccai, G., Mahajan, A., Powell, D., Peruzzi, M., Carnevale, R., & Frati, G. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01621-2 · Cited by 16 · see citing works

Artificial Intelligence in the Diagnosis of Pediatric Rare Diseases: From Real-World Data Toward a Personalized Medicine Approach

Ilić, N., & Sarajlija, A. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15090407 · Cited by 15 · see citing works

The role of artificial intelligence in predicting cancer immunotherapy response

Bhushan, R., Rai, S., Jangra, P., Sonker, P., Singh, N. K., Lakshami, R., Philip, R. R., Gakhar, S., & Dakal, T. C. (2025) · Oral Oncology Reports · doi:10.1016/j.oor.2025.100767 · Cited by 14 · see citing works

Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review

Asadi, F., Rahimi, M., Ramezanghorbani, N., & Almasi, S. (2025) · Cancer Reports · doi:10.1002/cnr2.70138 · Cited by 14 · see citing works

Artificial intelligence: a new era in prostate cancer diagnosis and treatment

Vidiyala, N., Parupathi, P. R., Sunkishala, P., Muppavarapu, C. S., Gujja, A., Kanagala, P., Meduri, S. K., & Nyavanandi, D. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.126024 · Cited by 13 · see citing works

The role of artificial intelligence in analyzing clinical malpractice disputes through medical record management

Mauro, L. D., Capasso, E., Tettamanti, C., Casella, C., Francaviglia, M., Volonnino, G., Rinaldi, R., Esposito, M., & Chisari, M. G. (2025) · Journal of Forensic and Legal Medicine · doi:10.1016/j.jflm.2025.102941 · Cited by 16 · see citing works

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David-Olawade, A. C., Aderinto, N., Egbon, E., Olatunji, G. D., Kokori, E., & Olawade, D. B. (2025) · Journal of Gastrointestinal Surgery · doi:10.1016/j.gassur.2025.102195 · Cited by 13 · see citing works

A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer

HaghighiKian, S. M., Shirinzadeh-Dastgiri, A., Vakili-Ojarood, M., Naseri, A., Barahman, M., Saberi, A., Rahmani, A., Shiri, A., Masoudi, A., Aghasipour, M., et al. (2024) · Indian Journal of Surgical Oncology · doi:10.1007/s13193-024-02079-6 · Cited by 13 · see citing works

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Khalaf, W. S., Morgan, R. N., & Elkhatib, W. F. (2025) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2025.107125 · Cited by 14 · see citing works

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Yazdi, N. A., Ahari, U. Z., KhadiviMaleki, H., & Hasanabadi, P. (2025) · BMC Medical Education · doi:10.1186/s12909-025-07621-w · Cited by 12 · see citing works

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Hussen, B. M., Abdullah, S. R., Hidayat, H. J., Samsami, M., & Taheri, M. (2025) · Cell Communication and Signaling · doi:10.1186/s12964-025-02434-2 · Cited by 12 · see citing works

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Merlo, E. M., Sparacino, G., Silvestro, O., Giacobello, M. L., Meduri, A., Casciaro, M., Gangemi, S., & Martino, G. (2026) · Healthcare · doi:10.3390/healthcare14040481 · Cited by 14 · see citing works

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Alshorman, J., Mehran, M. J., Bahrami, Y., Mohammadzadeh, S., Barzigar, R., Morshedi, M., Haider, K. H., Tembo, K. M., Rong, S.-J., Jadgal, N., et al. (2026) · Clinical and Experimental Medicine · doi:10.1007/s10238-026-02107-5 · Cited by 14 · see citing works

Revolutionizing Patient Safety: The Economic and Clinical Impact of Artificial Intelligence in Hospitals

Epelde, F. (2024) · Hospitals · doi:10.3390/hospitals1020015 · Cited by 15 · see citing works

Nurses’ Intention to Integrate AI Into Their Practice: Survey Study in Canada

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