AI & ML Intelligence
As the White House-backed project seeks to drive the evolution of artificial intelligence computational processes, demand for GPU servers may push the development of lighter-weight machine learning models, says an ICD researcher.
Glenn Wasson, administrator of analytics at the health system and a doctor of computer science, discusses a dialog between providers and vendors that can highlight sources of risk that must be understood to govern AI within an enterprise.
Dr. Eyal Zimlichman, chief innovation and transformation officer at Israel's Sheba Medical Center, says there will be much progress with these technologies – and health system IT leaders must be ready to adapt.
Dr. Michael S. Barr, a veteran and a healthcare consultant, explains how SBAR – Situation, Background, Assessment and Recommendation – will bring C-level health system execs onboard for strategic artificial intelligence investments.
Jennifer Stoll of OCHIN will speak at HIMSS25 on deploying artificial intelligence to benefit rural health systems and medically underserved communities.
Using artificial intelligence in radiology for the first time can be daunting, says one AI and imaging expert in a preview of his HIMSS25 session, but the advantages are substantial.
Alda Mizaku says the health system also is using artificial intelligence to boost predictive analytics efforts, among other use cases. And she offers advice to peers looking to become healthcare Chief AI Officers.
Alda Mizaku, chief data and artificial intelligence officer at the DC-based hospital, explains what skills are needed for this emerging C-suite position, and explains why an enterprise AI leader must be able to talk with anyone in any department.
Artificial intelligence can boost efficiency of imaging providers and support roles that offer greater provider productivity, says The Gordian Knot Group's Dawn Cram, who offers a preview of her HIMSS25 session on the subject.
The CEO of Wolters Kluwer Health sees big artificial intelligence developments this year – and predicts that AI is moving from a reactive force in healthcare to a proactive one.