Large language models in health care: Development, applications, and challenges onlinelibrary.wiley.com/doi/full/10.10… #AI #LLMs #NLP #healthcare #medicine

Our study, which examined #gender-based #disparities in the administration of cardiopulmonary resuscitation (#CPR), garnered recognition within the Duke-NUS Annual Review 2022. This serves as a reminder of the prevailing health #inequities. Link to paper: lnkd.in/g4MsS6vY

Our #JAMIA article examines #federated #learning applications. Current #FL research lacks adequate evaluations of #clinical benefits. Thus, we suggest prioritizing clinical motivations and develop practical designs and methods. doi.org/10.1093/jamia/… #AI AMIA

FedScore: A privacy-preserving framework for federated scoring system. sciencedirect.com/science/articl… #ai #scoring #federated #privacy

New article! Read A translational perspective towards clinical AI fairness in npj Digital Med dlvr.it/Sw6Qpv

In this npj Digital Medicine article, we discussed the technical advancement in #AI #fairness research, and highlighted the obstacles to #clinical #translation, which requires collaboration among clinicians, scientists, and philosophers, etc. nature.com/articles/s4174… Nature Portfolio

This perspective provides an overview of the misalignments of current #ArtificialIntelligence fairness research, with discussion on the practical clinical concerns & the obstacles to AI fairness adaptation. #AIfairness nature.com/articles/s4174…

Honored to have been awarded the 2023 Secretariat Award by the American Academy of Ophthalmology AAO, alongside distinguished ophthalmologists and clinician scientists. Looking forward to continuing to contribute to the Academy with my expertise in #ArtificialIntelligence.

My colleagues Nan Liu, Duke-NUS Yilin Ning and I just preprint published a review of ethical gaps for generative #AI in 193 healthcare studies and developed a checklist that may be helpful arxiv.org/abs/2311.02107

Our paper in npj Digital Medicine uncovers major geo-economic and gender disparities in AI-enabled clinical studies. We need diverse research teams and global collaboration! 🌏💡 #AI #DigitalMedicine #HealthEquity #GlobalHealth #DukeNUS nature.com/articles/s4174…

Progress on the Chatbot Assessment Reporting Tool - #CHART! Panel Consensus 2/3 co-chaired with Gordon Guyatt Pictured: our global, multi-d expert panel - apologies to those missed #MedTwitter #AI Julio Mayol Tim Feeney Elizabeth Loder, MD, MPH Annette Flanagin Dr Riaz Agha Stavros Antoniou Gary Collins 🇪🇺 Nan Liu, Duke-NUS

Significant geo-economic and gender disparities were observed in AI-enabled clinical studies. Read more here: nature.com/articles/s4174… #DukeNUS #Research #AI #clinicalresearch #genderequality Nan Liu, Duke-NUS

Are we increasing health inequity through the use of AI? This study examined 159 AI-enabled clinical studies with results indicating significant disparities in both the geo-economic distribution of the studies & the gender of the study subjects. nature.com/articles/s4174…

#PLOSDigitalHealth: Variable importance analysis with interpretable machine learning for fair risk prediction dx.plos.org/10.1371/journa…

FAIM: Fairness-aware interpretable modeling for trustworthy machine learning in healthcare: Patterns cell.com/patterns/fullt…

Researchers at #DukeNUS have developed a mathematical framework called Fairness-Aware Interpretable Modelling (FAIM) that provides accurate predictions for clinical outcomes: duke-nus.edu.sg/newshub/our-st… 📸: Norfaezah Abdullah, Duke-NUS #AI #framework #emergency

Just published The Lancet Digital Health Our review of generative #AI's ethical considerations for healthcare, systematically assessed via 193 articles sciencedirect.com/science/articl… Yilin Ning

NEW Review: Generative #ArtificialIntelligence and ethical considerations in health care: a scoping review and ethics checklist. Eric Topol Read it here: buff.ly/4dh7erT