Clinical Implementation of Medical Imaging Based Artificial Intelligence Tools – Guidelines for Medical Physicists [IAEA Preprint]
Description
Artificial Intelligence (AI) has significant potential to impact science and technology, including human health. While bringing potential benefits to healthcare, the application of AI systems also introduces new challenges and risks. The present publication provides a structured guidance to clinically qualified medical physicists (CQMPs) who are uniquely positioned health professionals to bridge the gap between complex AI algorithms and practical clinical applications. This publication provides comprehensive guidance for the clinical implementation of imaging-based AI systems. It addresses the entire process, from the initial assessment of needs, through selection, commissioning and quality management, to eventual decommissioning. While the primary focus of this guidance is on imaging-based AI systems, it is also applicable to the non-imaging-based AI tools.
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PC9134_preprint.pdf
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Additional details
Publishing Information
- Imprint Pagination
- 176 p.
- Series
- IAEA Human Health Series
- ISSN
- 2075-3772
- Report number
- IAEA-PC-9134
INIS
- Country of Publication
- International Atomic Energy Agency (IAEA)
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Resource subtype / Literary indicator
- Non-conventional Literature
- Descriptors DEI
- ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMEDICAL RADIOGRAPHY; COMMISSIONING; DATA VISUALIZATION; DECOMMISSIONING; HEALTH HAZARDS; IAEA; IMPLEMENTATION; PUBLIC HEALTH; QUALITY ASSURANCE; REACTOR DECOMMISSIONING; RECOMMENDATIONS; TOOLS; TRAINING
- Descriptors DEC
- DATA ANALYSIS; DATA PROCESSING; DECOMMISSIONING; DIAGNOSTIC TECHNIQUES; EDUCATION; EQUIPMENT; HAZARDS; INTERNATIONAL ORGANIZATIONS; MANAGEMENT; MATHEMATICAL LOGIC; MEDICINE; NUCLEAR MEDICINE; PROCESSING; QUALITY MANAGEMENT; RADIOLOGY; REACTOR LIFE CYCLE
Optional Information
- Notes
- 101 refs., 4 tabs., 6 figs.