Shaping Global Health AI through Large Language Models and Agentic Intelligence

Title: Shaping Global Health AI through Large Language Models and Agentic Intelligence

Speaker Bio

Satvik Tripathi is a researcher at the Perelman School of Medicine at the University of Pennsylvania and a Fellow at Penn Centre for Cancer Care Innovation (PC3I). He works within the Department of Radiology and Radiation Oncology. He is also a visiting researcher at the Department of Radiology at Harvard Medical School/Mass General Brigham. His research aims to develop clinically relevant artificial intelligence and evaluate its impact on patient-centred care and global health informatics. Currently serving on the RSNA Radiology AI Trainee Editorial Board, as an AI scientist for RAD-AID international, and as a committee member/chair for SIIM and EUSOMII.

Abstract:

Large language models are beginning to shape how global health systems deliver information, support clinical decisions, and manage scarce resources. Their ability to interpret text, summarise complex data, and provide culturally grounded guidance makes them useful in settings with limited expertise and variable infrastructure. The next stage is the rise of agentic AI, in which models collaborate across tasks, adapt to local constraints, and perform coordinated actions that extend beyond isolated predictions. This talk will examine how LLMs and multi-agent systems can strengthen patient education, workflow reliability, and clinical decision support in low-resource environments while addressing challenges in safety, evaluation, reproducibility, and equitable deployment.

Schedule:

Date: Friday, December 19th 2025

Time: 08:00 PST | 17:00 West Africa Time | 16:00 UTC

Zoom Meeting Link: https://us06web.zoom.us/j/89709172931

Contact Information

compass@mailab.io

View recordings of previous sessions on our YouTube channel https://www.youtube.com/@COMPASS-nn5or