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"Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review" by Dr. Elinor Laws, Dr. Joanne Palmer et al. #radiology #meded #ArtificialIntelligence #DEI DOI: 10.1016/j.clinimag.2024.110369

The #SAIL25 CALL FOR ABSTRACTS is now open! Join us on May 6-9 in Puerto Rico. In-person attendance is limited to those with accepted work. NEJM AI will award cash scholarships to the top abstracts. Travel support is also available. Submit by Jan 17: sail.health/event/sail-202…

NEW Editorial: A long STANDING commitment to improving health care. Read it here: buff.ly/4iEZHHs

Addressing #AI bias and lack of transparency for healthcare datasets Consensus recommendations from a global consortium thelancet.com/journals/landi… Joe Alderman The Lancet Digital Health

📢 The Lancet Digital Health and NEJM AI have co-published the long-awaited STANDING Together recommendations aiming to promote transparency in health datasets, and tackle algorithmic bias. Joe Alderman Dr Elinor Laws Alastair Denniston Xiao Liu STANDING Together Read more: buff.ly/3P48GV4

Patients will be better able to benefit from innovations in medical artificial intelligence if a new set of internationally-agreed recommendations from STANDING Together, published in The Lancet Digital Health, are followed - with Xiao Liu and Joe Alderman birmingham.ac.uk/news/2024/new-…

I’m thrilled to see this out in print and honored to be part of this team with amazing leadership by Xiao Liu and Joe Alderman and team. Was truly impressive to watch them lead the group in the UK last year and get so many folks to come together on this consensus rec

Excited that our paper *Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations* is published in The Lancet Digital Health. Honored to be part of this amazing team of authors led by Xiao Liu and Joe Alderman. This

Exploring patient and public participation in the STANDING Together initiative for AI in healthcare. Comment from Xiao Liu Uni of Birmingham and colleagues. nature.com/articles/s4159…

CANAIRI - Collaboration for AI Translational Trials - takes flight!🪽 Nature Medicine We will define: how to take a sociotechnical approach to responsible #AI integration. Spearheaded by my awesome co-lead Melissa McCradden🐦 nature.com/articles/s4159…

The authors of a new Perspective set out recommendations enabling those creating and/or using health care datasets to identify and transparently acknowledge underlying biases. Read the full Perspective: nejm.ai/429WKJj

Perspective by J.E. Alderman et al.: Tackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus Recommendations nejm.ai/429WKJj #AIinMedicine

A new review examines the design and performance of AI monitoring systems in clinical settings and introduces a structured road map to guide the development of effective and practical monitoring systems. Read the full article: nejm.ai/40J53KJ

We have supported the UK National Screening Committee in the evidence approach for #AI in Diabetic Eye Screening over last few years. In this paper we outline the NSC's considerations for evaluating ARIAs in England... more to come from Trystan Macdonald doi.org/10.1016/j.land…

NEW Health Policy: "Generating evidence to support the role of #AI in diabetic eye screening: considerations from the UK National Screening Committee". Xiao Liu Alastair Denniston Jiri Fajtl Sian Taylor-Phillips @adnan_tufail1 Read it here: thelancet.com/journals/landi…