Clinical Evaluation of Artificial Intelligence-Enabled Interventions-Reference-Cited by-同舟云学术

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Clinical Evaluation of Artificial Intelligence-Enabled Interventions

Published:2024-08-06 Issue:10 Volume:65 Page:10
ISSN:1552-5783
Container-title:Investigative Ophthalmology & Visual Science
language:en
Short-container-title:Invest. Ophthalmol. Vis. Sci.

Author:

Hogg H. D. Jeffry¹²³,Martindale Alexander P. L.⁴,Liu Xiaoxuan¹²³⁵,Denniston Alastair K.¹²³⁵

Affiliation:

1. University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom

2. Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom

3. NIHR-Supported Incubator in AI & Digital Healthcare, Birmingham, United Kingdom

4. Brighton and Sussex Medical School, Brighton, United Kingdom

5. National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, United Kingdom

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference41 articles.

1. Stakeholder perspectives of clinical artificial intelligence implementation: systematic review of qualitative evidence;Hogg;J Med Internet Res,2023

2. Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist;Norgeot;Nat Med,2020

3. Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol;Sounderajah;BMJ Open,2021

4. Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI;Vasey;Nat Med,2022

5. Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI Extension;Cruz Rivera;BMJ,2020

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