Most downloaded articles
2021
Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study
Mansab F, Bhatti S, Goyal D
10.1136/bmjhci-2020-100187
A step-by-step guide to peer review: a template for patients and novice reviewers
Salmi L, Blease C
10.1136/bmjhci-2021-100392
Clinician checklist for assessing suitability of machine learning applications in healthcare
Scott I, Carter S, Coiera E
10.1136/bmjhci-2020-100251
COVID-19 and beyond: virtual consultations in primary care—reflecting on the evidence base for implementation and ensuring reach: commentary article
Mold F, Cooke D, Ip A, et al
10.1136/bmjhci-2020-100256
Applying natural language processing and machine learning techniques to patient experience feedback: a systematic review
Khanbhai M, Anyadi P, Symons J, et al
10.1136/bmjhci-2020-100262
How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices
Lyell D, Coiera E, Chen J, et al
10.1136/bmjhci-2020-100301
Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment
Wilson A, Saeed H, Pringle C, et al
10.1136/bmjhci-2021-100323
Artificial intelligence-based prediction of transfusion in the intensive care unit in patients with gastrointestinal bleeding
Levi R, Carli F, Arévalo AR, et al
10.1136/bmjhci-2020-100245
Development of a core competency framework for clinical informatics
Davies A, Mueller J, Hassey A, et al
10.1136/bmjhci-2021-100356
Development of a data utility framework to support effective health data curation
Gordon B, Barrett J, Fennessy C, et al
10.1136/bmjhci-2020-100303
2022
Conceptualising fairness: three pillars for medical algorithms and health equity
Laura Sikstrom, Marta M Maslej, Katrina Hui, et al
10.1136/bmjhci-2021-100459
Eight human factors and ergonomics principles for healthcare artificial intelligence
Mark Sujan, Rachel Pool, Paul Salmon, et al
10.1136/bmjhci-2021-100516
Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Davy van de Sande, Michel E Van Genderen, Jim M. Smit, et al
10.1136/bmjhci-2021-100495
Global disparity bias in ophthalmology artificial intelligence applications
Luis Filipe Nakayama, Ashley Kras, Lucas Zago Ribeiro et al
10.1136/bmjhci-2021-100470
Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation
Jacqueline K Kueper, Amanda Terry, Ravninder Bahniwal et al
10.1136/bmjhci-2021-100493
'Improving smart medication management: an online expert discussion
David W Bates, Hsiang-Yin Cheng, NT Cheung et al
10.1136/bmjhci-2021-100540
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction
Isabel Straw, Honghan Wu
10.1136/bmjhci-2021-100457
Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland
Charlotte Blease, Anna Kharko, Michael Bernstein et al
10.1136/bmjhci-2021-100480
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation
Agata Foryciarz, Stephen R Pfohl, Birju Patel, Nigam Shah
10.1136/bmjhci-2021-100460
A proposal for developing a platform that evaluates algorithmic equity and accuracy
Paul Cerrato, John Halamka, Michael Pencina
10.1136/bmjhci-2021-100423