Home
Categories
EXPLORE
True Crime
Comedy
Society & Culture
Business
News
Sports
TV & Film
About Us
Contact Us
Copyright
© 2024 PodJoint
Podjoint Logo
US
00:00 / 00:00
Sign in

or

Don't have an account?
Sign up
Forgot password
https://is1-ssl.mzstatic.com/image/thumb/Podcasts221/v4/41/6a/ee/416aeef2-3abc-b6da-dae6-93cb5d97e7a4/mza_9231913995220505268.jpg/600x600bb.jpg
Health and Explainable AI Podcast
Pitt HexAI Lab and the Computational Pathology and AI Center of Excellence
34 episodes
1 day ago
The Health and Explainable AI podcast is a collaborative initiative between the Health and Explainable AI (HexAI) Research Lab in the Department of Health Information Management at the School of Health and Rehabilitation Sciences, and the Computational Pathology and AI Center of Excellence (CPACE), at the University of Pittsburgh School of Medicine. Led by Ahmad P. Tafti, Hooman Rashidi and Liron Pantanowitz, the podcast explores the transformative integration of responsible and explainable artificial intelligence into health informatics, clinical decision-making, and computational medicine.
Show more...
Technology
RSS
All content for Health and Explainable AI Podcast is the property of Pitt HexAI Lab and the Computational Pathology and AI Center of Excellence and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The Health and Explainable AI podcast is a collaborative initiative between the Health and Explainable AI (HexAI) Research Lab in the Department of Health Information Management at the School of Health and Rehabilitation Sciences, and the Computational Pathology and AI Center of Excellence (CPACE), at the University of Pittsburgh School of Medicine. Led by Ahmad P. Tafti, Hooman Rashidi and Liron Pantanowitz, the podcast explores the transformative integration of responsible and explainable artificial intelligence into health informatics, clinical decision-making, and computational medicine.
Show more...
Technology
https://d3t3ozftmdmh3i.cloudfront.net/production/podcast_uploaded_nologo/30412988/30412988-1677465391252-9b2f9c2c0a54a.jpg
Janneta Tabakov from Perplexity on Pitt HexAI
Health and Explainable AI Podcast
26 minutes 33 seconds
6 months ago
Janneta Tabakov from Perplexity on Pitt HexAI

Janneta Tabakov, Enterprise Growth Lead with Perplexity who focuses on AI in biotech and biopharma speaks with CPACE Podcast host Jordan Gass-Pooré about her work at Perplexity, a popular and fast-growing new AI-powered answer engine that’s redefining search and information discovery in the AI era. Janneta and Jordan discuss how Perplexity (https://www.perplexity.ai/) makes information discovery clear, trustworthy, and accessible, especially in fields like health, medicine, and science and they touch on Janneta’s prior work at Arima Genomics, the field of 3D genomics, Hi-C technology and the visualization and mapping of DNA structures.

The episode is geared towards introducing students and healthcare professionals to new AI-powered search tools and information discovery processes. The episode highlights how tools like Perplexity are advancing explainable AI in information discovery by making the search and synthesis process transparent, interactive, and easy to understand, helping users not only find answers, but also understand the reasoning and evidence behind them.

Janneta and Jordan also discuss the accelerating pace of AI innovation and the dynamic momentum that startups like Perplexity are driving in the industry, setting new benchmarks in healthcare and research.

Health and Explainable AI Podcast
The Health and Explainable AI podcast is a collaborative initiative between the Health and Explainable AI (HexAI) Research Lab in the Department of Health Information Management at the School of Health and Rehabilitation Sciences, and the Computational Pathology and AI Center of Excellence (CPACE), at the University of Pittsburgh School of Medicine. Led by Ahmad P. Tafti, Hooman Rashidi and Liron Pantanowitz, the podcast explores the transformative integration of responsible and explainable artificial intelligence into health informatics, clinical decision-making, and computational medicine.