A systematic review of artificial intelligence techniques in cancer prediction and diagnosis

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Abiraterone and Increased Survival in Metastatic Prostate Cancer

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Colorectal Cancer Epidemiology: Incidence, Mortality, Survival, and Risk Factors

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Benefits and Harms of CT Screening for Lung Cancer

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Review: Ultraviolet radiation and skin cancer

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Current Challenges in Cancer Treatment

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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

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Automated breast cancer detection and classification using ultrasound images: A survey

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Global Trend of Breast Cancer Mortality Rate: A 25-Year Study

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Detection of Blast-Related Traumatic Brain Injury in U.S. Military Personnel

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Nanotechnology in cancer diagnosis: progress, challenges and opportunities

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Breast cancer detection using deep convolutional neural networks and support vector machines

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Cancer Diagnosis Using Deep Learning: A Bibliographic Review

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Breast cancer classification using machine learning

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Deep learning for lung Cancer detection and classification

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Classification of skin lesions using transfer learning and augmentation with Alex-net

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Automatic Detection and Classification of Colorectal Polyps by Transferring Low-Level CNN Features From Nonmedical Domain

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Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies

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Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

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Lung Cancer Detection and Classification with 3D Convolutional Neural Network (3D-CNN)

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Thyroid cancer: zealous imaging has increased detection and treatment of low risk tumours

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Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis

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Skin Lesion Classification Using Convolutional Neural Network With Novel Regularizer

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Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions

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Biomarkers for the early detection of acute kidney injury

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Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

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Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

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Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer

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Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing

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Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning

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Manifold Learning of Brain MRIs by Deep Learning

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Automatic lung cancer detection from CT image using improved deep neural network and ensemble classifier

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Single circulating tumor cell detection and overall survival in nonmetastatic breast cancer

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Prostate cancer detection using deep convolutional neural networks

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Detection of oral bacteria in cardiovascular specimens

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Automatic Colon Polyp Detection Using Region Based Deep CNN and Post Learning Approaches

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Automatic Lung Cancer Prediction from Chest X-ray Images Using the Deep Learning Approach

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A CNN-based methodology for breast cancer diagnosis using thermal images

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A fully-automated deep learning pipeline for cervical cancer classification

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Deep Learning for Lung Cancer Nodules Detection and Classification in CT Scans

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Nature meets nurture: molecular genetics of gastric cancer

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Exciting new advances in oral cancer diagnosis: avenues to early detection

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Serum microRNA-29a is a promising novel marker for early detection of colorectal liver metastasis

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Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques

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Timing Channel in IaaS: How to Identify and Investigate

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Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm

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Breast Tumor Classification Using an Ensemble Machine Learning Method

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Learning Where to Attend with Deep Architectures for Image Tracking

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Screening for Cervical Cancer Using Automated Analysis of PAP-Smears

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Segmentation and Classification of Cervical Cells Using Deep Learning

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Prostate cancer diagnosis using deep learning with 3D multiparametric MRI

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Radiomics and Deep Learning: Hepatic Applications

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Breast Cancer Detection, Segmentation and Classification on Histopathology Images Analysis: A Systematic Review

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A Review on Recent Progress in Thermal Imaging and Deep Learning Approaches for Breast Cancer Detection

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Breast Cancer Diagnosis Using Feature Ensemble Learning Based on Stacked Sparse Autoencoders and Softmax Regression

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No End in Sight: The Skin Cancer Epidemic Continues

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Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

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Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma

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Skin Cancer Detection Using Convolutional Neural Network

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Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

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Incidence and mortality of kidney cancer: temporal patterns and global trends in 39 countries

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Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization

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Thyroid Diagnosis from SPECT Images Using Convolutional Neural Network with Optimization

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Intellectual detection and validation of automated mammogram breast cancer images by multi-class SVM using deep learning classification

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Automatic detection of early gastric cancer in endoscopic images using a transferring convolutional neural network

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Lung Cancer Detection Based on CT Scan Images by Using Deep Transfer Learning

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Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope

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The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method

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Non-Hodgkin lymphoma affecting the tongue: unusual intra-oral location

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Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review

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Artificial intelligence in gastric cancer: a systematic review

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Automatic plankton image classification combining multiple view features via multiple kernel learning

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Automatic classification of cervical cancer from cytological images by using convolutional neural network

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Lung Cancer Detection Using Image Segmentation by means of Various Evolutionary Algorithms

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Breast Cancer Diagnosis with Transfer Learning and Global Pooling

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Classification of Cervical Cancer Using Artificial Neural Networks

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Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network

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Machine-Learning Based Hybrid-Feature Analysis for Liver Cancer Classification Using Fused (MR and CT) Images

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Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic

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Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology images

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Federated Learning Systems for Healthcare: Perspective and Recent Progress

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Deep learning with convolutional neural networks for identification of liver masses and hepatocellular carcinoma: A systematic review

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A Deep-Learning Algorithm for Thyroid Malignancy Prediction From Whole Slide Cytopathology Images.Preprint

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Integrated Use of Rough Sets and Artificial Neural Network for Skin Cancer Disease Classification

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Prevalence and sociodemographic determinants of dyspepsia in the general population of Rwanda

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Automatic Diagnosis of Liver Tumor in Ct Images

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Mammographic Cancer Detection Using Computer-Aided Diagnosis System

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Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners.

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Machine learning and AI in cancer prognosis, prediction, and treatment selection: a critical approach

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Artificial Intelligence in Cancer Research: Trends, Challenges and Future Directions

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Deep learning techniques for cancer classification using microarray gene expression data

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A review on recent developments in cancer detection using Machine Learning and Deep Learning models

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Deep Transfer Learning Approaches to Predict Glaucoma, Cataract, Choroidal Neovascularization, Diabetic Macular Edema, DRUSEN and Healthy Eyes: An Experimental Review

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Systematic reviews of machine learning in healthcare: a literature review

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A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images

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Hallmarks of artificial intelligence contributions to precision oncology

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Artificial Intelligence Techniques for Predictive Modeling of Vector-Borne Diseases and its Pathogens: A Systematic Review

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Artificial intelligence and machine learning for clinical pharmacology

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Artificial intelligence and machine learning for hemorrhagic trauma care

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Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques

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HDFCN: A Robust Hybrid Deep Network Based on Feature Concatenation for Cervical Cancer Diagnosis on WSI Pap Smear Slides

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A Comprehensive Analysis of Deep Learning-Based Approaches for Prediction and Prognosis of Infectious Diseases

Thakur, K., Kaur, M., & Kumar, Y. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-023-09952-7 · Cited by 44 · see citing works

Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care

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Pancreatic Cancer Detection using Machine and Deep Learning Techniques

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An Analysis of Detection and Diagnosis of Different Classes of Skin Diseases Using Artificial Intelligence-Based Learning Approaches with Hyper Parameters

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Advancing cancer diagnosis and treatment: integrating image analysis and AI algorithms for enhanced clinical practice

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Risk prediction of pancreatic cancer using AI analysis of pancreatic subregions in computed tomography images

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Dynamic learning for imbalanced data in learning chest X-ray and CT images

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Application of Artificial Intelligence Methods for Imaging of Spinal Metastasis

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An Investigational Approach for the Prediction of Gastric Cancer Using Artificial Intelligence Techniques: A Systematic Review

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Artificial Intelligence's Significance in Diseases with Malignant Tumours

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A novel end-to-end deep learning approach for cancer detection based on microscopic medical images

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Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

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Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma

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A Comprehensive Analysis of Artificial Intelligence Techniques for the Prediction and Prognosis of Lifestyle Diseases

Modi, K., Singh, I., & Kumar, Y. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-023-09957-2 · Cited by 34 · see citing works

A Comprehensive Analysis of Deep Learning-Based Approaches for the Prediction of Gastrointestinal Diseases Using Multi-class Endoscopy Images

Bhardwaj, P., Kumar, S., & Kumar, Y. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-023-09951-8 · Cited by 31 · see citing works

Molecular Markers of Pediatric Solid Tumors—Diagnosis, Optimizing Treatments, and Determining Susceptibility: Current State and Future Directions

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Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review

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Application of 3D, 4D, 5D, and 6D bioprinting in cancer research: what does the future look like?

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Towards AI-driven autonomous growth of 2D materials based on a graphene case study

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A State-of-the-Art Review of Artificial Intelligence (AI) Applications in Healthcare: Advances in Diabetes, Cancer, Epidemiology, and Mortality Prediction

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Metaheuristic-based hyperparameter optimization for multi-disease detection and diagnosis in machine learning

Singh, J., Sandhu, J. K., & Kumar, Y. (2024) · Service Oriented Computing and Applications · doi:10.1007/s11761-023-00382-8 · Cited by 31 · see citing works

Cancer Prognosis Using Artificial Intelligence-Based Techniques

Gupta, S., & Kumar, Y. (2021) · SN Computer Science · doi:10.1007/s42979-021-00964-3 · Cited by 27 · see citing works

Diagnosis and Detection of Congenital Diseases in New-Borns or Fetuses Using Artificial Intelligence Techniques: A Systematic Review

Kaur, K., Singh, C., & Kumar, Y. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-023-09892-2 · Cited by 27 · see citing works

Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets

Rai, H. M., Yoo, J., Moqurrab, S. A., & Dashkevych, S. (2023) · Measurement · doi:10.1016/j.measurement.2023.114059 · Cited by 26 · see citing works

The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms

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Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review

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Early Prediction of Neonatal Jaundice using Artificial Intelligence Techniques

Kumar, Y., Patel, N. P., Koul, A., & Gupta, A. (2022) · International Conference on Innovative Practices in Technology and Management (ICIPTM) · doi:10.1109/iciptm54933.2022.9753884 · Cited by 22 · see citing works

Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis

Smiley, A., Villarreal‐Zegarra, D., Reátegui-Rivera, C. M., Escobar-Agreda, S., & Finkelstein, J. (2025) · Frontiers in Oncology · doi:10.3389/fonc.2025.1555247 · Cited by 21 · see citing works

Harnessing artificial intelligence for predictive modelling in oral oncology: Opportunities, challenges, and clinical Perspectives

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Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction

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Using machine learning or deep learning models in a hospital setting to detect inappropriate prescriptions: a systematic review

Johns, E., Godet, J., Alkanj, A., Beck, M., Mas, L. D., Gourieux, B., Sauleau, E., & Michel, B. (2023) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2023-003857 · Cited by 22 · see citing works

Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality

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Early Disease Detection Using AI: A Deep Learning Approach to Predicting Cancer and Neurological Disorders

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A convolutional attention model for predicting response to chemo-immunotherapy from ultrasound elastography in mouse tumor models

Voutouri, C., Englezos, D., Zamboglou, C., Strouthos, I., Papanastasiou, G., & Stylianopoulos, T. (2024) · Communications Medicine · doi:10.1038/s43856-024-00634-4 · Cited by 15 · see citing works

Min max kurtosis distance based improved initial centroid selection approach of K-means clustering for big data mining on gene expression data

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Designing of Augmented Breast Cancer Data using Enhanced Firefly Algorithm

Silpa, P. S., Reddy, A. M., Durga, C. B. V., Sri, V. N., Bhavani, U., Priya, C. H. H., & Mounika, J. (2022) · International Conference on Smart Electronics and Communication (ICOSEC) · doi:10.1109/icosec54921.2022.9951883 · Cited by 14 · see citing works

Using real-world electronic health record data to predict the development of 12 cancer-related symptoms in the context of multimorbidity

Bandyopadhyay, A., Albashayreh, A., Zeinali, N., Fan, W., & Gilbertson‐White, S. (2024) · JAMIA Open · doi:10.1093/jamiaopen/ooae082 · Cited by 14 · see citing works

Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment

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A review on recent deep learning techniques, challenges and its applications for medical healthcare system

Gupta, A., Gupta, S., & Kumar, Y. (2021) · International Conference on Technological Advancements and Innovations (ICTAI) · doi:10.1109/ictai53825.2021.9673291 · Cited by 13 · see citing works

Analysis of Colorectal and Gastric Cancer Classification: A Mathematical Insight Utilizing Traditional Machine Learning Classifiers

Rai, H. M., & Yoo, J. (2023) · Mathematics · doi:10.3390/math11244937 · Cited by 12 · see citing works

Computational Intelligence in Medicine

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LViT: Vision Transformer for Lung cancer Detection

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Automated Analysis of Nuclear Parameters in Oral Exfoliative Cytology Using Machine Learning

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Artificial intelligence methods available for cancer research

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Innovative laboratory techniques shaping cancer diagnosis and treatment in developing countries

Lawal, A. O., Ogunniyi, T. J., Oludele, O. I., Olorunfemi, O. A., Okesanya, O. J., Ogaya, J. B., Manirambona, E., Ahmed, M. M., & Lucero‐Prisno, D. E. (2025) · Discover Oncology · doi:10.1007/s12672-025-01877-w · Cited by 11 · see citing works

Enhancing cancer detection and prevention mechanisms using advanced machine learning approaches

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Machine Learning-Based Approaches for the Prognosis and Prediction of Multiple Diseases

Bhardwaj, P., Kumar, Y., & Mishra, S. (2024) · International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) · doi:10.1109/iitcee59897.2024.10467881 · Cited by 10 · see citing works

Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques

Rai, H. M., Yoo, J., & Dashkevych, S. (2025) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-024-10219-y · Cited by 9 · see citing works

Evaluating machine learning and statistical learning techniques for cancer classification and diagnosis

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Recent advancements in artificial intelligence‐powered cancer prediction from oral microbiome

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Multistage feature selection and stacked generalization model for cancer detection

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The global patent landscape of artificial intelligence applications for cancer

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Preoperative prediction of tumor deposits in rectal cancer with clinical-magnetic resonance deep learning-based radiomic models

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An Extensive Study of Cervical Cancer Detection Methods Using Machine and Deep Learning Approaches

Francis, D., Chitra, R., Kasthuri, R. P., & Sri, V. G. (2022) · International Conference on Power, Energy, Control and Transmission Systems (ICPECTS) · doi:10.1109/icpects56089.2022.10047277 · Cited by 8 · see citing works

Mathematical Modeling and Analysis of Tumor Growth Models Integrating Treatment Therapy

Kamran, M., Abdullah, J. Y., Satmi, A. S. A., Genisa, M., Majeed, A., & Nadeem, T. (2025) · Mathematical and Computational Applications · doi:10.3390/mca30060119 · Cited by 8 · see citing works

Machine and Deep Learning Techniques to Classify and Predict Thyroid Diseases

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An Efficient Framework for Predicting Cancer Type Based on Microarray Gene Expressions Using CNN-BiLSTM Technique

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Whole slide image representation in bone marrow cytology

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Machine learning in healthcare strategic management: a systematic literature review

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Machine Learning Based Approaches to diagnosis and detection of cancerous and non-pancreatic cancerous conditions

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