Strengths, weaknesses, opportunities, and threats analysis of artificial intelligence and machine learning applications in radiology

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Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success

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The future of radiology augmented with Artificial Intelligence: A strategy for success

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Deep Learning to Classify Radiology Free-Text Reports

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Natural Language Processing Technologies in Radiology Research and Clinical Applications

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Artificial Intelligence: Threat or Boon to Radiologists?

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An Artificial Agent for Anatomical Landmark Detection in Medical Images

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Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers

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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset

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An IoT Based Predictive Modelling for Predicting Lung Cancer Using Fuzzy Cluster Based Segmentation and Classification

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Automatic Normalization of Anatomical Phrases in Radiology Reports Using Unsupervised Learning

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Accessing Artificial Intelligence for Clinical Decision-Making

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Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education

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Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review

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Artificial Intelligence for Personalized Medicine in Thyroid Cancer: Current Status and Future Perspectives

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Artificial intelligence application in university libraries of Pakistan: SWOT analysis and implications

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The Use of Artificial Intelligence (AI) in the Radiology Field: What Is the State of Doctor–Patient Communication in Cancer Diagnosis?

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Workflow Applications of Artificial Intelligence in Radiology and an Overview of Available Tools

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Review of deep learning algorithms for the automatic detection of intracranial hemorrhages on computed tomography head imaging

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Machine learning in knee arthroplasty: specific data are key—a systematic review

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Systematic Review of Radiologist and Medical Student Attitudes on the Role and Impact of AI in Radiology

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Artificial intelligence (AI) in the detection of rectosigmoid deep endometriosis

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Saudi Radiology Personnel’s Perceptions of Artificial Intelligence Implementation: A Cross-Sectional Study

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Is Artificial Intelligence the New Friend for Radiologists? A Review Article

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AI-Driven Advances in Low-Dose Imaging and Enhancement—A Review

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Artificial intelligence in radiology: relevance of collaborative work between radiologists and engineers for building a multidisciplinary team

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A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma

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How artificial intelligence is reshaping the autonomy and boundary work of radiologists. A qualitative study

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A survey of ASER members on artificial intelligence in emergency radiology: trends, perceptions, and expectations

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Artificial intelligence in radiology: does it impact medical students preference for radiology as their future career?

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Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing

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Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?

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MR Images, Brain Lesions, and Deep Learning

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Artificial Intelligence–assisted Prostate Cancer Diagnosis: Radiologic-Pathologic Correlation

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

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Natural Language Processing in Pathology

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Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

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Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases

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Artificial intelligence and radiomics in nuclear medicine: potentials and challenges

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Detection of unexpected findings in radiology reports: A comparative study of machine learning approaches

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Ethical Implications of Alzheimer’s Disease Prediction in Asymptomatic Individuals through Artificial Intelligence

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Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions

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ChatGPT in Education: SWOT analysis approach

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A New ECG Data Processing Approach to Developing an Accurate Driving Fatigue Detection Framework with Heart Rate Variability Analysis and Ensemble Learning

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Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey

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Analysis and Estimation of COVID-19 Spreading in Russia Based on ARIMA Model

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Percepciones de estudiantes de Medicina sobre el impacto de la inteligencia artificial en radiología

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Diagnosis of Gastric Cancer Using Machine Learning Techniques in Healthcare Sector: A Survey

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Machine Learning Algorithms for Big Data Analytics

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The present and future role of artificial intelligence and machine learning in anesthesiology

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Machine Learning Applications of Surgical Imaging for the Diagnosis and Treatment of Spine Disorders: Current State of the Art

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Predicting the risk of cancer in adults using supervised machine learning: a scoping review

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Medical students’ perceptions of the impact of artificial intelligence in radiology

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Revolutionizing hysteroscopy outcomes: AI-powered uterine myoma diagnosis algorithm shortens operation time and reduces blood loss

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Artificial intelligence and radiomics in magnetic resonance imaging of rectal cancer: a review

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Applications of Artificial Intelligence and Machine Learning in Spine MRI

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Artificial intelligence in gastric cancer: a translational narrative review

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Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging

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BIM Library Transplant: Bridging Human Expertise and Artificial Intelligence for Customized Design Detailing

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Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study

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Insights Into the Future: Assessing Medical Students' Artificial Intelligence Readiness ‐ A Cross‐Sectional Study at Kerman University of Medical Sciences (2022)

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Artificial intelligence and machine learning in the fields of education, medical, and smart phones

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How to Implement AI in the Clinical Enterprise: Opportunities and Lessons Learned

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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis

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Machine Learning in Diagnosis and Prognosis of Lung Cancer by PET-CT

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Artificial Intelligence in Head and Neck Imaging

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Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

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AUR-RRA Review: Logistics of Academic-Industry Partnerships in Artificial Intelligence

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

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Automatic TNM staging of colorectal cancer radiology reports using pre-trained language models

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A SWOT Analysis of Human- and Machine Learning- Based Embryo Assessment

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Global research landscape on artificial intelligence in arthroplasty: A bibliometric analysis

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Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model

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Critical Evaluation of the Future Role of Artificial Intelligence in Business and Society

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Radiology in the era of artificial intelligence (AI): Opportunities and challenges

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Artificial Intelligence in Healthcare With an Emphasis on Public Health

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Keeping the Organization in the Loop as a General Concept for Human-Centered AI: The Example of Medical Imaging

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Radiologic Technology Students’ Perceptions on Adoption of Artificial Intelligence Technology in Radiology

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Federated Learning Augmented with Convolutional Neural Networks for Brain Cancer Classification

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Clinical-Deep Neural Network and Clinical-Radiomics Nomograms for Predicting the Intraoperative Massive Blood Loss of Pelvic and Sacral Tumors

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Automatic text classification of prostate cancer malignancy scores in radiology reports using NLP models

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External validation of AI algorithms in breast radiology: the last healthcare security checkpoint?

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Improve follicular thyroid carcinoma diagnosis using computer aided diagnosis system on ultrasound images

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Three-dimensional printing in healthcare

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Dense attention network identifies EEG abnormalities during working memory performance of patients with schizophrenia

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Imagine there is no paperwork… it’s easy if you try

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Comparative Performance Analysis of Deep Learning Models in Cervical Cancer Detection

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Analysis of Digitalization and Sustainable Development in Africa

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The structure and function of ocular epithelia

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A RRA Perspective on AI and Machine Learning Applications in Radiology: From Experimental to Clinically Viable Solutions

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APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN RADIOLOGY: DIAGNOSTIC CAPABILITIES, ADVANTAGES AND CURRENT LIMITATIONS

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Inteligencia artificial en radiología: beneficios, desafíos y aplicaciones actuales

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