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AI

By Adam Ang | 09:08 pm | May 05, 2025
It offers end-to-end, AI-driven digital ecosystem solutions for hospitals and insurers.
By Jessica Hagen | 02:14 pm | May 05, 2025
Project Stargate, an initiative to enhance U.S. AI infrastructure, is exploring international expansion, particularly in the UK.
HIMSS25
By HIMSS TV | 04:00 pm | May 01, 2025
Using 400 logic "languages," Dr. R. Ryan Sadeghian, pediatrician and University of Toledo CMIO, and his team are building pediatric-specific AI apps that deliver safe, context-aware responses to support pediatric diagnoses.
HIMSS25
By HIMSS TV | 05:10 pm | April 30, 2025
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.
By HIMSS TV | 11:23 am | April 30, 2025
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.
By Jessica Hagen | 12:42 pm | April 29, 2025
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.
By Adam Ang | 07:40 am | April 29, 2025
Claimed to be a world's first, the LLM-driven model has demonstrated over 90% accuracy.  
HIMSS25
By HIMSS TV | 05:47 pm | April 28, 2025
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.
HIMSS25
By HIMSS TV | 05:07 pm | April 25, 2025
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.
By Adam Ang | 07:38 pm | April 23, 2025
The community-based program targets to screen 260,000 women.