AI

Michele Krajewski, HIMSS' Global Health Conference Education Committee chair, explains how the committee ensures each year's conference curriculum reflects the interests and needs of HIMSS' diverse membership.

Unlearn leverages digital twin models to simulate how participants may respond to treatments, according to CEO Steve Herne. This approach streamlines clinical trials by enhancing data precision and improving the quality of outcomes.

Juan Lavista Ferres, CVP and chief data scientist at Microsoft's AI for Good Lab, and Meghana Kshirsagar, senior research scientist, discuss their research on protein symmetry.

Claimed to be a world's first, the LLM-driven model has demonstrated over 90% accuracy.  

Ran Balicer, chief innovation officer at Clalit Health Services, believes AI implementation is necessary to advance healthcare and recommends that organizations create guardrails to ensure safe, ethical AI deployment.

Jonathan French, HIMSS' senior director of public policy, lays out the key points of HIMSS' response to the White House's request for information from the public on developing an AI action plan.

The community-based program targets to screen 260,000 women.  

Generative AI tools can aid non-analyst healthcare staff in gleaning insights from data, but Bruno Lempernesse, MDClone's president, recommends defining guardrails for these tools' use to build trust and protect patient privacy.

Dr. Tamara Sunbul, chair of HIMSS Middle East Community and a digital health transformation and innovation strategic advisor, discusses HIMSS Executive Sumit in Dubai, creating the agenda and what leaders can learn from the Middle East region.

AI models have demonstrated up to 96.9% accuracy in screening ADHD, according to the Yonsei University study.