About the book

Effective Implementation of AI in Radiology brings clinical, technical, methodological, ethical and legal perspectives together in one resource. Its 36 chapters, arranged in ten parts, follow artificial intelligence in radiology from first principles to responsible use in patient care:

• Part IRadiology, Its Origins, and Clinical Foundations
• Part IIArtificial Intelligence for Medical and Healthcare Professionals
• Part IIIResearch Methodology, Data Science, and Critical Evaluation
• Part IVAI Technology, Imaging Interpretation, and Radiology Workflows
• Part VAI in Primary Care, Point-of-Care Imaging, Emergency Medicine, and Teleradiology
• Part VIOrgan-System and Disease-Specific Imaging I: Neurological, Head and Neck, Thoracic, Cardiovascular, and Musculoskeletal Applications
• Part VIIOrgan-System and Disease-Specific Imaging II: Breast, Abdominal, Genitourinary, Gynecologic, Obstetric, and Pediatric Applications
• Part VIIIOncologic, Molecular, Radiation, and Image-Guided Therapeutic Applications
• Part IXEconomics, Entrepreneurship, and Business Innovation in Radiology AI
• Part XClinical Translation, Safety, Ethics, Governance, and the Future of Radiology AI

Intended reviewer expertise

AIH invites appropriately qualified experts to review chapters that match their knowledge and experience, including:

• Radiology and diagnostic imaging
• Artificial intelligence and machine learning
• Deep learning and medical image analysis
• Computer science and computer engineering
• Data science and medical informatics
• Clinical medicine
• Research methodology and evidence synthesis
• Medical ethics and responsible AI
• Healthcare law, regulation and liability
• Healthcare implementation and related disciplines

Reviewer appointments and chapter assignments are confirmed by the AIH editorial team. Applying does not by itself guarantee an appointment or publication credit.