Improving the quality of machine learning in health applications and clinical research. - Bilal A. Mateen; James Liley; Alastair K. Denniston; Chris C. Holmes; Sebastian J. Vollmer (Nat. Mach. Intell., 2020)

Development and application of the ocular immune-mediated inflammatory diseases ontology enhanced with synonyms from online patient support forum conversation. - Samantha C. Pendleton; Luke T. Slater; Andreas Karwath; Rose M. Gilbert; Nicola Davis; Konrad Pesudovs; Xiaoxuan Liu; Alastair K. Denniston; Georgios V. Gkoutos; Tasanee Braithwaite (Comput. Biol. Medicine, 2021)

An informatics consult approach for generating clinical evidence for treatment decisions. - Alvina Grace Lai; Wai Hoong Chang; Constantinos A. Parisinos; Michail Katsoulis; Ruth M. Blackburn; Anoop D. Shah; Vincent Nguyen; Spiros C. Denaxas; George Davey Smith; Tom R. Gaunt; Krishnarajah Nirantharakumar; Murray P. Cox; et al. (BMC Medical Informatics Decis. Mak., 2021)

Code-free deep learning for multi-modality medical image classification. - Edward Korot; Zeyu Guan; Daniel Ferraz; Siegfried K. Wagner; Gongyu Zhang; Xiaoxuan Liu; Livia Faes; Nikolas Pontikos; Samuel G. Finlayson; Hagar Khalid; Gabriella Moraes; Konstantinos Balaskas; et al. (Nat. Mach. Intell., 2021)

A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. - Ariel Yuhan Ong; Priyal Taribagil; Mertcan Sevgi; Aditya U. Kale; Eliot R. Dow; Trystan Macdonald; Ashley Kras; Gregory Maniatopoulos; Xiaoxuan Liu; Pearse A. Keane; Alastair K. Denniston; Henry David Jeffry Hogg (npj Digit. Medicine, 2025)

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action. - Jasmine Chiat Ling Ong; Yilin Ning; Mingxuan Liu; Yian Ma; Zhao Liang; Kuldev Singh; Robert T. Chang; Silke Vogel; John CW Lim; Iris Siu Kwan Tan; Oscar Freyer; Stephen Gilbert; et al. (CoRR, 2025)