2024
DOI: 10.1001/jama.2023.26930
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A Nationwide Network of Health AI Assurance Laboratories

Nigam H. Shah,
John D. Halamka,
Suchi Saria
et al.

Abstract: ImportanceGiven the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, effective, and safe are urgently needed.ObservationsWhile there are several efforts to develop standards and best practices to evaluate AI, there is a gap between having such guidance and the application of such guidance to both existing and new AI models being develo… Show more

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Cited by 45 publications
(14 citation statements)
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“…On top of a reasonable and explainable MCDE AI model, the next crucial question that physicians would be interested in is the clinical relevance and actionability [ 99 ]. To communicate with patients, the MCED AIs should provide more communicable terms for the predictive results.…”
Section: Challenges and Opportunitiesmentioning
confidence: 99%
“…On top of a reasonable and explainable MCDE AI model, the next crucial question that physicians would be interested in is the clinical relevance and actionability [ 99 ]. To communicate with patients, the MCED AIs should provide more communicable terms for the predictive results.…”
Section: Challenges and Opportunitiesmentioning
confidence: 99%
“…These tools must be reliable as well as equitable and widely available to augment (not supplant) high-quality, empathetic care for all. The work must include partnerships among healthcare organizations, technology innovators, researchers, and government agencies like the work that has begun under the Coalition for Healthcare AI (Shah et al, 2024).…”
Section: Taking a Cautious Approachmentioning
confidence: 99%
“…There are efforts to help leaders and health systems develop consensus-based evaluation techniques and infrastructure for AI tools, including HealthAI: The Global Agency for Responsible AI in Health, which aims to build and certify validation mechanisms for nations and regions to adopt; and the Coalition for Health AI (CHAI), which recently announced plans to build a US-wide health AI assurance labs network 7 , 8 . These efforts, if successful, will assist manufacturers and health systems in complying with new laws, rules, and regulations being proposed and released that seek to ensure AI tools are trustworthy, such as the EU AI Act and the 2023 US Executive Order on AI.…”
Section: Introductionmentioning
confidence: 99%