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We are pleased to announce the fourth annual Healthcare AI Conference, hosted by the Regenstrief Institute, IU Indianapolis AI Consortium and the IU School of Medicine Department of Biostatistics & Health Data Science.
Drs. Shaun Grannis, Shiaofen Fang, Kun Huang, and Brian Dixon invite you to an engaging event that aims to bring together the Indiana research community to explore the transformative potential of AI in healthcare. This conference will focus on sharing experiences, fostering collaborations, and building partnerships to advance research and innovation.
With so much happening in the field, we’re pleased to showcase the latest developments, including successful use cases, emerging challenges and cutting-edge innovations. Attendees will have the opportunity to hear from a diverse range of speakers, including seasoned professionals from academia and industry and leading Indiana researchers advancing AI in healthcare.
This event isn’t just about presentations — it’s a platform to connect with peers, share ideas and collaborate on impactful projects. Whether you’re an experienced AI professional or just beginning to explore this exciting field, the conference provides a unique opportunity to engage, learn and contribute to the next big breakthrough in healthcare AI. We invite you to join us, share your interests, learn from others and most importantly, help shape the future of healthcare AI in Indiana! Please scroll down for agenda and registration details.
FEBRUARY 11, 2025
Registration
8:00 a.m.
Breakfast / Welcome by Regenstrief President & CEO Rachel Patzer and Conference Co-Chairs
8:30–9:00 a.m.
Panel: NLP + ML for Healthcare
9:00–9:20 a.m.
Presenters: Hyeju Jang, PhD; Mohammad Hasan, PhD; Lu Zhang, PhD
We will present research tasks focusing on the application of Natural Language Processing (NLP) and Machine Learning (ML) technologies in healthcare. Topics include (1) AI chatbot for mental health support using large language models, (2) dementia detection leveraging multimodal data, and (3) AI to understand the human brain. Following the presentation, we will lead a breakout session to explore the AI technical details behind these applications.
Panel: AI Practical Concepts and Components: How to Incorporate AI into Clinical Research
9:20–9:40 a.m.
Presenter: Shaun Grannis, MD, MS
This session offers an overview to integrating AI into clinical research, covering essential hardware, infrastructure, and competencies. We will explore the current capabilities of off-the-shelf AI tools, compare cloud-based and on-premises deployments, and evaluate sources for AI solutions. Strategies for fine-tuning models to address specific research needs will also be discussed. By simplifying complex concepts, this session provides researchers with practical insights to leverage AI effectively in healthcare.
Morning Break / Move to Breakout Rooms
9:40–10:00 a.m.
Breakout Sessions
Break / Move Back to Main Room
11:15–11:20 a.m.
Report Out from Breakout Sessions
11:20–11:40 a.m.
Panel Report Outs
Break
11:40 a.m. – 12:00 p.m.
Lunch
12:00 – 1:15 p.m.
Panel: Making the Most of AI in Clinical and Healthcare Operations
1:15–1:35 p.m.
Presenters: Jiang Bian, PhD, MS; Titus Schleyer, DMD, PhD
Making the most of AI in healthcare doesn’t just mean getting the algorithms to work right. An equally important challenge is to answer the why, what, for whom, how and when of AI implementations. This panel will discuss several salient aspects of getting AI to work right in clinical and healthcare operations.
Panel: Balancing Innovation and Privacy in Healthcare AI
1:35–1:55 p.m.
Presenters: Haixu Tang, PhD; Xukai Zou, PhD; Feng Li, PhD
We will explore the critical intersection of innovation and privacy within the emerging field of healthcare AI. We will discuss the challenges of leveraging the power of AI while safeguarding sensitive patient data. A key focus will be on confidential computing techniques as promising solutions to enable AI development and deployment while ensuring data remains private and secure within its original location.
Panel: AI in Biomedical Imaging
1:55–2:15 p.m.
Presenters: Lu Zhang, PhD; Matthew Pease, MD; Dayu Sun, PhD
This session invites three experts to discuss AI in biomedical imaging, covering both methodology development and translation applications. The topics cover the discussions on foundation models, advanced statistical methods, and applications in neurosurgery.
Move to Breakout Sessions
2:15–2:20 p.m.
Breakout Sessions
2:20–3:35 p.m.
Breakouts on second, third and fourth floors.
Afternoon Break / Move to Main Room
3:35–3:45 p.m.
Report Out from Breakout Sessions
3:45–4:15 p.m.
Panel report outs
Social Reception / Networking Event
4:15–5:00 p.m.
FEBRUARY 12, 2025
Registration
8:00–8:30 a.m.
Welcome / Breakfast
8:30–9:00 a.m.
Move to 2nd Floor Poster Session
9:00–9:05 a.m.
Poster Session
9:05–10:00 a.m.
Move to Main Room
10:00–10:05 a.m.
Panel: Trustworthy and Casual AI in Healthcare
10:05–10:25 a.m.
Presenters: Arjan Durresi, PhD; Sunandan Chakraborty, PhD; Rakesh Shiradkar, PhD
Discussion about causality in general in sciences and in particular in AI use. The need for causality in healthcare and medicine and discuss discovering causality by LLM’s and other tools.
Panel: Real World Experience using AI with Healthcare Data
10:25–10:45 a.m.
Presenters: Josh Vest, PhD, MPH; Jing Su, PhD; Jonathan Payne, MS
This panel will review examples of health-focused AI projects. Panel discussion will focus on the practical and methodological opportunities facing projects working in clinical environments or with real-world data and strategies to ensure success.
Panel: Practical AI Governance and Implementation in Clinical Settings
10:45–11:05 a.m.
Presenters: Randall Grout, MD, MS; Bryan McConomy, MD
This panel will describe active efforts to develop and implement AI solutions into real-world clinical settings. The panel will discuss the importance and challenges associated with governance of AI, which is a critical precursor to implementation. The panelists will also describe real examples of AI introduced into clinical practice within health systems. The panelists will discuss successes and challenges thus far with the rollout of governance strategies and implementation efforts.
Morning Break / Move to Breakout Rooms
11:05-11:15 a.m.
Grab Boxed Lunch for Breakout Sessions
Breakout Sessions
11:15 a.m. – 12:30 p.m.
Breakouts on second, third and fourth floors.
Move to Main Room
12:30–12:35 p.m.
Report Out from Breakout Sessions
12:35–1:05 p.m.
Panel Report Outs
Summary / Thank You from Conference Co-Chairs
1:05–1:15 p.m.
Panel/Breakout Flow
Schematic for all 3-hour morning and afternoon sessions. Colors represent different topic areas, led by one or more individuals. Topic area leaders may recruit additional speakers. Note: Panel times are intentionally tight to leave room for in-depth topic discussions during the 75-minute breakout sessions.
Register
This conference will be IN PERSON only!
Our conference allows for 80 registrations and the conference is in-person only. Currently, we have met our capacity on our registrations and registration is closed.
Location & Parking
The AI Conference is being hosted at Regenstrief Institute, located at 1101 West 10th Street, Indianapolis, IN 46202.
Parking is not available in front of the Institute. Parking is available at the Wilson Street Garage and the Lockefield Garage. Please let those at the registration desk know that you parked in the garage to obtain a validation for payment.