Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment

Author:

Ross J.,Hammouche S.,Chen Y.,Rockall A.G.,Alabed S.,Chen M.,Dwivedi K.,Fascia D.,Greenhalgh R.,Hall M.,Halliday K.,Harden S.,Ramsden W.,Shelmerdine S.

Publisher

Elsevier BV

Reference44 articles.

1. AI and ML in radiology: making progress;Rockall;Clin Radiol,2023

2. FDA. Artificial intelligence and machine learning (AI/ML)-Enabled medical devices. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices (accessed 1 January 2024).

3. Current challenges of implementing artificial intelligence in medical imaging;Saw;Phys Med,2022

4. From hype to hope to hard work: developing responsible AI for radiology;Rockall;Clin Radiol,2020

5. FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies;Ebrahimian;Acad Radiol,2022

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