Published September 2025 | Version v1
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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.