Day 1: Symposium #2 – Radio City Hall

The Proof Behind the Promise: Clinical, Operational, & Ethical Evidence Supporting AI in Healthcare

9:30 AM

Explore how health systems are operationalizing AI across clinical workflows—using real-world performance data, frontline clinician feedback, and post-implementation analytics to transition from proof-of-concept pilots to sustained practice transformation.

Meg Columbia Walsh, Managing Director, Oberon Securities

10:00 AM

This session unpacks how leading researchers and developers are grounding AI model design in actual care delivery gaps, epidemiologic data, and real-world barriers to treatment—ensuring AI tools are built to address pressing population health priorities.

Hamid Tabatabaie, CEO, CodaMetrix

10:35 AM

Networking BREAK

11:00 AM

Hear from clinical leaders who are driving the responsible implementation of AI in real care environments—from deploying radiology models to refining predictive analytics tools—through structured, evidence-driven evaluation protocols.

Meg Columbia Walsh, Managing Director, Oberon Securities

Jennifer Brown, Speaker & Author, Jennifer Speaks

12:00 PM

Join a dynamic dialogue with investors and payers as they reveal what forms of clinical evidence, workflow validation, and regulatory positioning they require before supporting or scaling a digital health or AI company.

Prem Sreenivasan, Senior Fellow, HITLAB

12:30 PM

LUNCH

1:30 PM

A discussion on how to translate complex algorithmic insights, uncertainty measures, and model limitations into patient-facing language that fosters informed consent, shared decision-making, and long-term trust.

Representative, Decimal.Health

2:00 PM

Dive into the evolving landscape of digital consent and patient participation—highlighting how proactive, opt-in approaches to AI validation can improve generalizability, accountability, and transparency in AI research.

Representative, Floreo

2:30 PM

NETWORKING BREAK

3:00 PM

Review the latest data from health systems deploying imaging AI at population scale—evaluating its impact on diagnostic efficiency, workflow throughput, and downstream care quality across specialties.

Amy West, Principal, Advisory Services & Chair Women’s Global Health Tech Initiative, HITLAB

3:30 PM

Learn how leading health systems are preparing for large-scale AI integration—by building governance boards, skilling up clinical teams, and defining evidence-generation pathways that ensure safe and scalable deployment.

Alexia Priest, Director, Business Development, HITLAB