Company Overview
- Website
- pitthexai.github.io
- Employees
- 3
- Industry
- College/University
- SIC Code
-
8221 - Colleges, Universities, and Professional Schools
Financials & Stats
Revenue
$10B
Recent News & Media
Jessica Scipione - Client Support Operations Analyst - Solventum
- Jul 5, 2025
- linkedin.com
Kasey H. - Research Assistant - Pitt Health and Explainable AI Research Laboratory
- Apr 26, 2025
- linkedin.com
Fengyi Gao - Research Assistant - Pitt Health and Explainable AI Research Laboratory
- Apr 20, 2025
- linkedin.com
I am now thrilled to announce the launch of the "Mastering ITK-SNAP" tutorial series via YouTube, created by my Pitt Health and Explainable AI Research Laboratory (HexAI). This series is dedicated to guiding you through the process of creating gold-standard
- Feb 22, 2025
- linkedin.com
Farnaz Rezvani - Research Assistant & Data Scientist - Pitt Health and Explainable AI Research Laboratory
- Jan 4, 2025
- uk.linkedin.com
We are proud to announce that Health AI Register has been highlighted as one of the three main sources of information on available AI applications in the recently published AI Deployment Fundamentals for Medical Imaging guidance by The Royal College of
- Nov 19, 2024
- linkedin.com
Who is Pitt Health and Explainable AI Research Laboratory
Pitt Health and Explainable AI Research Laboratory, also known as Pitt HexAI, is a small research laboratory located in Pittsburgh, Pennsylvania. Employed by the University of Pittsburgh's School of Health and Rehabilitation Sciences' Department of Health Information Management, the lab consists of a team of four researchers. Pitt HexAI focuses on research in the field of Health and Explainable AI. Their work aims to cultivate extramural collaborations with academic institutions across the United States and internationally. The lab contributes to the advancement of knowledge through its research and educational initiatives, as well as its podcast series. Pitt HexAI's podcast series serves as a platform to disseminate research findings and engage with a wider audience interested in the intersection of health and artificial intelligence. The lab emphasizes the importance of explainable AI, ensuring that AI models used in healthcare are transparent and understandable to both practitioners and patients. For more information about Pitt HexAI's research and podcast series, please visit their website at pitthexai.github.io.
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