Exploring the Evolution of AI in Healthcare

Published On Mon Dec 23 2024
Exploring the Evolution of AI in Healthcare

Today in AI - December 22, 2024 by The Artificial Intelligence Podcast

Evolution of AI in Healthcare

Join Will Hu, CTO of Flagler Health, as he discusses the evolution of AI in healthcare to today's advanced AI-powered services. These services can handle everything from appointment scheduling to clinical diagnostics. Hu emphasizes the shift towards comprehensive service-oriented approaches in current healthcare AI, integrating with existing workflows. However, he notes that policy changes around payment models and reimbursement are crucial for wider AI adoption.

Evolution of AI in Healthcare

Neuro AI at Cognizant

Join Babak Hodjat, CTO of AI at Cognizant, as he discusses Neuro AI, their flagship platform that uses multi-agent systems. These systems create decision-making workflows where AI agents can communicate to solve complex business problems. Babak demonstrates how Neuro AI works through various examples, including an intranet search system and a podcast analytics tool. The platform can be deployed on-premises for companies dealing with sensitive data.

Innovations in Retinal Imaging

Join Vicky Demas, CEO of identifeye HEALTH, as she shares insights into her company's innovative work in retinal imaging and AI for diagnostics, starting with diabetic retinopathy. Vicky explores the future of AI in healthcare, emphasizing the potential to democratize access and improve patient outcomes globally.

Innovations in Retinal Imaging

Advancements in Generative AI

Join Babak Hodjat, CTO of AI at Cognizant, as he discusses the latest advancements in generative AI, including model improvements and the rise of agent-based systems. Babak shares insights on scaling AI POCs and the growing demand for AI-driven workflows with human-in-the-loop systems.

The Future of AI in Edge Computing

Join Adam Burns, VP at Intel, as he explores the future of AI integration into edge computing and IoT. Adam shares insights into Intel's efforts to scale AI applications across hardware platforms and highlights the shift to AI-driven solutions that enhance efficiency and accessibility.