This new series from the Indiana CTSI aims to educate attendees on leveraging AI basic principles and tools, its ethics to improve productivity, facilitate work processes, and address ethical considerations. The series is open to anyone interested in the topics, with each session lasting one hour and presented in a hybrid format – in person at the Regenstrief Social Hub (capped at 90 participants), or virtual (no limit).

Each session will also be recorded and made available after the event.

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July 30 2025

Presenter: Shaun Grannis, MD

This lecture will introduce participants to the rapidly evolving world of artificial intelligence (AI) and its transformative potential in health research. The session begins by demystifying key AI concepts, including machine learning, deep learning, large language models (LLMs), and generative approaches, before diving into real-world applications in clinical research.

Attendees will explore practical use cases such as automated chart summarization, natural language querying of clinical databases, and diagnostic image analysis. The lecture also outlines the core infrastructure and deployment strategies—whether in the cloud, on-premises, or hybrid environments—needed to support successful AI integration.

Through illustrative case studies in COVID-19 and chronic disease management, the session highlights how AI has already improved clinical workflows, triage, and population health analytics. The talk includes a discussion on effective prompting strategies, fine-tuning for domain specificity, and the ethical and competency considerations vital for responsible AI use in healthcare research