Wednesday, July 1, 2026
12 p.m. to 1 p.m. Central Time
Discussion Topic: Agentic AI Workshop
12 p.m. to 1 p.m. Central Time
Presentation Overview
The insight exchange will review key characteristics of agentic AI systems, including goal-directed behavior, planning and multi-step task execution, tool use, memory and context retention, adaptive responses, and human-in-the-loop oversight.
Responsible AI considerations including safety, accountability, privacy, transparency, explainability, and governance will be examined alongside implementation challenges such as workflow integration, interoperability, evaluation, regulatory uncertainty, and resource constraints.
Session Speaker: Dr. Saeed Amal
The MedStar Health Research Institute brings you this virtual series as part of the Data Science Training Core.
Related Links
AIM-AHEAD Data Science Training Core
Workshop Flyer
As part of the AIM-AHEAD.net content refresh, the AIM-AHEAD Communications Hub collaborated with program leadership across multiple AIM-AHEAD Collaborative Training Programs to update their respective webpages, highlighting the accomplishments, outcomes, and impact of recent trainee cohorts.
Dr. Huang, an Assistant Professor of University of Pennsylvania Perelman School of Medicine Pathology and Laboratory Medicine, will discuss the critical role of building an integrated ecosystem for medical imaging and demonstrate how AI can assist pathologists to enhance diagnostic accuracy and efficiency through multiple AI algorithm development efforts.
Find out more about how AIM-AHEAD CLINAQ Program participants Kalyani Narra (MD) and Dhruvangi Sharma (PhD) are advancing healthcare through AI/ML-driven research.