HealthTech October 18, 2024
Jeanne Greathouse

As organizations develop artificial intelligence strategies, they must also address ethical, security and training issues.

Artificial intelligence holds immense opportunities for revolutionizing healthcare: From automating routine tasks to enhancing the accuracy of diagnostics, new advancements are already changing the way we approach patient care.

AI models have already begun integrating into real-world healthcare settings. This year, for example, we saw innovations including Google’s MedLM and Gemini models pushing boundaries in multimodal AI applications.

Considering the worldwide focus on AI adoption and innovation, an in-depth analysis of the experiences of nearly 1,000 U.S. and global businesses leaders from the British Standards Institution (one of the world’s largest certification bodies) found that technology, transportation and life sciences and pharmaceutical organizations are leading...

Today's Sponsors

Venturous
ZeOmega

Today's Sponsor

Venturous

 
Topics: AI (Artificial Intelligence), Healthcare System, Patient / Consumer, Privacy / Security, Provider, Technology
AI-enabled clinical data abstraction: a nurse’s perspective
Contextual AI launches Agent Composer to turn enterprise RAG into production-ready AI agents
OpenAI’s latest product lets you vibe code science
WISeR in 2026: Legal, Compliance, and AI Challenges That Could Reshape Prior Authorization for Skin Substitutes
Dario Amodei warns AI may cause ‘unusually painful’ disruption to jobs

Share Article