| Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension X Liu, SC Rivera, D Moher, MJ Calvert, AK Denniston, H Ashrafian, ... The Lancet Digital Health 2 (10), e537-e548, 2020 | 773 | 2020 |
| Preparing medical imaging data for machine learning MJ Willemink, WA Koszek, C Hardell, J Wu, D Fleischmann, H Harvey, ... Radiology 295 (1), 4-15, 2020 | 770 | 2020 |
| Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies M Nagendran, Y Chen, CA Lovejoy, AC Gordon, M Komorowski, ... bmj 368, 2020 | 758 | 2020 |
| Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension SC Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert, H Ashrafian, ... The Lancet Digital Health 2 (10), e549-e560, 2020 | 647 | 2020 |
| Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI B Vasey, M Nagendran, B Campbell, DA Clifton, GS Collins, S Denaxas, ... bmj 377, 2022 | 286 | 2022 |
| Artificial intelligence in diagnostic imaging: impact on the radiography profession M Hardy, H Harvey The British journal of radiology 93 (1108), 20190840, 2020 | 187 | 2020 |
| Lifecycle regulation of artificial intelligence–and machine learning–based software devices in medicine TJ Hwang, AS Kesselheim, KN Vokinger Jama 322 (23), 2285-2286, 2019 | 134 | 2019 |
| To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines) P Omoumi, A Ducarouge, A Tournier, H Harvey, CE Kahn, ... European radiology 31, 3786-3796, 2021 | 126 | 2021 |
| Regulatory frameworks for development and evaluation of artificial intelligence–based diagnostic imaging algorithms: summary and recommendations DB Larson, H Harvey, DL Rubin, N Irani, RT Justin, CP Langlotz Journal of the American College of Radiology 18 (3), 413-424, 2021 | 110 | 2021 |
| Large language model AI chatbots require approval as medical devices S Gilbert, H Harvey, T Melvin, E Vollebregt, P Wicks Nature Medicine 29 (10), 2396-2398, 2023 | 99 | 2023 |
| High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks. D Korkinof, T Rijken, M O’Neill, J Yearsley, H Harvey, B Glocker URL http://arxiv. org/abs/1807.03401, 2018 | 77 | 2018 |
| Machine learning “red dot”: open-source, cloud, deep convolutional neural networks in chest radiograph binary normality classification EJ Yates, LC Yates, H Harvey Clinical radiology 73 (9), 827-831, 2018 | 65 | 2018 |
| A standardised approach for preparing imaging data for machine learning tasks in radiology H Harvey, B Glocker Artificial intelligence in medical imaging: opportunities, applications and …, 2019 | 50 | 2019 |
| SPIRIT-AI and CONSORT-AI Working Group; SPIRIT-AI and CONSORT-AI Steering Group; SPIRIT-AI and CONSORT-AI Consensus Group. Guidelines for clinical trial protocols for … S Cruz Rivera, X Liu, AW Chan, AK Denniston, MJ Calvert Nat Med 26 (9), 1351-1363, 2020 | 39 | 2020 |
| Best practices for authors of healthcare-related artificial intelligence manuscripts LWJK Sujay Kakarmath, Andre Esteva, Rima Arnaout, Hugh Harvey, Santosh Kumar ... NPJ Digital Medicine 3 (134), 2020 | 37 | 2020 |
| TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ... bmj 385, 2024 | 34 | 2024 |
| The role of deep learning in breast screening H Harvey, E Karpati, G Khara, D Korkinof, A Ng, C Austin, T Rijken, ... Current Breast Cancer Reports 11, 17-22, 2019 | 27 | 2019 |
| Why AI will not replace radiologists H Harvey Towards Data Science. Retrieved June 10, 2021, 2018 | 18 | 2018 |
| Volumetry of the dominant intraprostatic tumour lesion: intersequence and interobserver differences on multiparametric MRI H Harvey, MR Orton, VA Morgan, C Parker, D Dearnaley, C Fisher, ... The British journal of radiology 90 (1071), 20160416, 2017 | 18 | 2017 |
| Perceived realism of high-resolution generative adversarial network–derived synthetic mammograms D Korkinof, H Harvey, A Heindl, E Karpati, G Williams, T Rijken, ... Radiology: Artificial Intelligence 3 (2), e190181, 2020 | 16 | 2020 |
Myura NagendranUKRI Clinical PhD Fellow, Centre for AI in Healthcare, Imperial College LondonVerified email at imperial.ac.uk
