À PROPOS DE CET ÉPISODE
Oncology is becoming increasingly data-intensive, bringing together imaging, pathology, genomics, clinical history, and patient-generated data. AI presents an opportunity to connect these information sources and surface meaningful insights without adding burden for clinicians. Hear from experts at the intersection of healthcare, AI, and software platforms on what it takes to operationalize these systems in complex care environments.
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Rechercher les épisodes précédents de HIMSSCast.
AUTRES ÉPISODES DANS CE PODCAST
Hospitals are now in joint ventures with physicians groups for ASCs, something unthinkable 20 years ago, says Erik Tellefson, senior managing director, head of Healthcare Real Estate Lending at Capital One.
Redesign Health's Aron Szanto discusses Argus, an AI-powered code review system designed to identify bugs and inconsistencies in AI-generated code.
Innovation in healthcare isn’t limited to labs, startups, or research institutions. In the second episode of our “Future of Virtual Care” podcast series, Professor Pedro Oliveira, Dean of Nova School of Business and Economics and founder of Patient Innovation, discusses how patients and caregivers …
AI can help clinicians identify patients at risk of sepsis earlier by analyzing patient data and supporting faster, more informed treatment decisions, says Dr. Bobby Reddy Jr., cofounder and CEO of Prenosis.
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