Day 3 of Symposium on AI for Learning Health Systems #SAIL2024 kicks off with discussions on health AI policy led by Alastair Denniston Dr. Anindita Saha Laura Adams Johan Ordish.

Just found this note on the table at Symposium on AI for Learning Health Systems #SAIL2024 and I agree with whoever left this here!! 😎 let’s go day 4!

A Global Health Data Divide NEJM AI ai.nejm.org/doi/full/10.10… is one of the most fundamental obstacles to safe international deployment of AI and this week's NEJM nejm.org/doi/full/10.10… from DBMI at Harvard Med colleagues reveals just one small consequence if we don't pay attention

🧵 1/ What’s at stake with race-based equations for lung function? Clinical, occupational, and financial reclassifications for millions of patients. I’m delighted to share this labor of love, published today in NEJM and unveiled at #ATS2024. nejm.org/doi/full/10.10…

Our recent paper "Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review" has been published in NEJM AI ! The lack of clinical text data is a long-term challenge/pain for #AIinMedicine and clinical LLM researchers. After

Some of the smartest speakers and best talks I’ve heard this year - was a privilege to chair! With Xiao Liu Naama Hammel

In TRIPOD+AI we introduced a new #openscience section asking for details on protocol availability, registration details, data sharing, code sharing, conflicts of interest and funding. -> bmj.com/content/385/bm… #transparency #machinelearning #AI

Improving the availability of data representing the biggest health needs must be a core priority for fostering a research, development, and innovation ecosystem. Learn more in an editorial by Xiao Liu, Joe Alderman, and Dr Elinor Laws: nejm.ai/3VcPcBp

Are you familiar with these AI terms? Dive deeper in the latest article in the #AIinMedicine series: nej.md/4aNpf04

Editorial by Xiao Liu, Joe Alderman, and Dr Elinor Laws: A Global Health Data Divide nejm.ai/3VcPcBp #ArtificialIntelligence #AIinMedicine

We want to thank all our patient/public/carer contributors for all their time, insights and advocacy as part of STANDING Together. Thank you for sharing your stories, time and experiences!

Enjoying Day 1 of the UK-US The Royal Society National Academy of Sciences on Science in the age of #AI (feat. Ben Glocker)

🎉 Excited to announce Xiao Liu as our 3rd panellist for "Tech back your bits"! Dr. Liu, with expertise in #medicine & #AI, will discuss #AI in the NHS & #AIBias. 🎟 Tickets here!: outsavvy.com/event/20054/te… 🤖With thanks to our supporters UnLtd, UCL UCL Institute of Healthcare Engineering & Vagina Museum

We are delighted to have Xiao Liu speaking on #AI in the @NHS at "Tech back your bits" next month! As both a #doctor & #AI expert, Dr Liu leads groundbreaking research on ethical tech in #healthcare. 🎟 Tickets here!: outsavvy.com/event/20054/te… 🤖 Dr Maryam Mehrnezhad Nikos Koukopoulos Shakir Mohamed

**NEW pre-print** "Sample size for developing a prediction model with a binary outcome: targeting precise individual risk estimates to improve clinical decisions and fairness" + new Stata module: pmstabilityss Joie Ensor arxiv.org/abs/2407.09293 Feedback welcome 🙏

Joie Ensor Thanks to collaborators including Joie Ensor Gary Collins 🇪🇺 Rebecca Whittle Kym Snell Paula Dhiman Xiao Liu Alastair Denniston Frank Harrell Laure Wynants @laurewynants.bsky.social Glen Martin Paper builds on our stability & multiverse work bmcmedicine.biomedcentral.com/articles/10.11… onlinelibrary.wiley.com/doi/full/10.10… & extends pmsampsize

What can the history of medicine teach us about how LLMs and other AI models may change care going forward? 'Historian-futurist' Adam Rodman, Andrew Beam, and I share some thoughts here based on our NEJM AI Grand Rounds conversation. Full text: ai.nejm.org/doi/10.1056/AI…

Join Melissa McCradden and our fellow canaries 🦜 in developing responsible and safe practices in championing the translational trial (also known as silent trial) as we bridge the gap between #AI and patient benefit