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This paper is in the following e-collection/theme issue:

Qualitative Methods (235) Non-randomized Protocols and Methods (ehealth) (1072) Decision Support for Health Professionals (2150) Machine Learning (3082) Development and Evaluation of Research Methods, Instruments and Tools (1277) Artificial Intelligence (4591)

Published on in Vol 13 (2024)

This is a member publication of University of Birmingham (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50568, first published .
Extreme close-up of a human blue and yellow iris, showing detailed texture and reflection.

Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study

Target Product Profile for a Machine Learning–Automated Retinal Imaging Analysis Software for Use in English Diabetic Eye Screening: Protocol for a Mixed Methods Study

Authors of this article:

Trystan Macdonald1, 2, 3 Author Orcid Image ;   Jacqueline Dinnes3 Author Orcid Image ;   Gregory Maniatopoulos4 Author Orcid Image ;   Sian Taylor-Phillips5 Author Orcid Image ;   Bethany Shinkins5 Author Orcid Image ;   Jeffry Hogg6 Author Orcid Image ;   John Kevin Dunbar7 Author Orcid Image ;   Ameenat Lola Solebo8, 9 Author Orcid Image ;   Hannah Sutton10 Author Orcid Image ;   John Attwood11 Author Orcid Image ;   Michael Pogose12 Author Orcid Image ;   Rosalind Given-Wilson13 Author Orcid Image ;   Felix Greaves14, 15 Author Orcid Image ;   Carl Macrae16 Author Orcid Image ;   Russell Pearson17 Author Orcid Image ;   Daniel Bamford7 Author Orcid Image ;   Adnan Tufail9, 18 Author Orcid Image ;   Xiaoxuan Liu1, 2, 3 Author Orcid Image ;   Alastair K Denniston1, 2, 3, 19, 20 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Macdonald T, Hogg H, Dinnes J, Verrinder L, Maniatopoulos G, Taylor-Phillips S, Shinkins B, Dunbar J, Solebo A, Sutton H, Attwood J, Pogose M, Given-Wilson R, Greaves F, Macrae C, Pearson R, Tufail A, Liu X, Denniston A. Target product profiles for digital health technologies including those with artificial intelligence: a systematic review. Frontiers in Health Services 2025;5 View
  2. Ong A, Taribagil P, Sevgi M, Kale A, Dow E, Macdonald T, Kras A, Maniatopoulos G, Liu X, Keane P, Denniston A, Hogg H. A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. npj Digital Medicine 2025;8(1) View
  3. Macdonald T, Dinnes J, Maniatopoulos G, Solebo A, Hogg H, Alderman J, Engelmann J, Owen R, Ganapathi S, Ng V, Gill J, Tufail A, Rudnicka A, Shinkins B, Pogose M, Pearson R, Macrae C, Given-Wilson R, Dunbar J, Sutton H, Attwood J, Greaves F, Stratton I, Anderson J, Combes A, Edwards R, Fajtl J, Flockenhaus M, Galsworthy P, Glocker B, Holloway M, Hopkin G, Huggins P, Jordan K, McLay A, Meredith S, Owens D, Perks S, Peto T, Reglar B, Scanlon P, Simkin M, Styles C, Tongue B, Wilkinson E, Quigley G, Taylor-Philips S, Liu X, Denniston A. Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study. The Lancet Digital Health 2026:101033 View
  4. Cleland C, Bascaran C, Makupa W, Shilio B, Tufail A, Egan C, Fajtl J, Olvera-Barrios A, Rudnicka A, Owen C, Wallis C, Cartwright E, Bastawrous A, Macleod D, Burton M. Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population. Diabetes Care 2026;49(8):1451 View