Health Technologies Using Artificial Intelligence: What Is Being Assessed in the UK by NICE?
Author(s)
Caoimhe Leonard, BSc, MSc, Sheryl Warttig, BSc, MSc, DHealthPsy, Liesl Gildea, BSc, MSc.
RTI Health Solutions, Manchester, United Kingdom.
RTI Health Solutions, Manchester, United Kingdom.
OBJECTIVES: Artificial intelligence (AI) is rapidly evolving. The National Institute for Health and Care Excellence (NICE) published a statement of intent for the approach of AI use in November 2024. This study aimed to identify the published and in-development NICE guidance on technologies using AI and evaluate the outcome of the NICE assessment.
METHODS: A review of the NICE website was conducted, beginning with the AI section, and supplemented by a general search of the website to identify guidance on health technologies using AI. Data were extracted on the status of the technologies, the use of AI, and the recommendations made.
RESULTS: Sixteen guidance documents were identified as including AI technology on the NICE website; 69% of guidance was published, and 31% was in development, with estimated publication dates up to January 2026. 7/16 were identified through the general search and include aspects of AI within the technology (e.g., a technology detecting cardiac arrhythmias with use of AI for generating analysis reports for clinician review). The 16 identified NICE documents were health technology evaluations (69%), diagnostic guidance (25%), and medical technologies guidance (6%). Most of the recommendations (10/16) restricted use of AI to research settings only due to insufficient evidence. 1/4 of the published diagnostic guidance documents has not been recommended due to a lack of evidence on the use of AI‑derived, computer-aided detection software of computed tomography scan images for detecting and measuring lung nodules.
CONCLUSIONS: The different publication types pose a challenge to efforts of identify information or predict outcomes. It is evident that AI is a new approach for healthcare, and the guidance and technologies in development appear positive but lack evidence. The NICE statement has made clear to developers and companies the opportunities on how to approach these new technologies using AI.
METHODS: A review of the NICE website was conducted, beginning with the AI section, and supplemented by a general search of the website to identify guidance on health technologies using AI. Data were extracted on the status of the technologies, the use of AI, and the recommendations made.
RESULTS: Sixteen guidance documents were identified as including AI technology on the NICE website; 69% of guidance was published, and 31% was in development, with estimated publication dates up to January 2026. 7/16 were identified through the general search and include aspects of AI within the technology (e.g., a technology detecting cardiac arrhythmias with use of AI for generating analysis reports for clinician review). The 16 identified NICE documents were health technology evaluations (69%), diagnostic guidance (25%), and medical technologies guidance (6%). Most of the recommendations (10/16) restricted use of AI to research settings only due to insufficient evidence. 1/4 of the published diagnostic guidance documents has not been recommended due to a lack of evidence on the use of AI‑derived, computer-aided detection software of computed tomography scan images for detecting and measuring lung nodules.
CONCLUSIONS: The different publication types pose a challenge to efforts of identify information or predict outcomes. It is evident that AI is a new approach for healthcare, and the guidance and technologies in development appear positive but lack evidence. The NICE statement has made clear to developers and companies the opportunities on how to approach these new technologies using AI.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
HTA172
Topic
Health Technology Assessment, Medical Technologies, Methodological & Statistical Research
Topic Subcategory
Decision & Deliberative Processes
Disease
No Additional Disease & Conditions/Specialized Treatment Areas