AI and Healthcare

Should Patients Be Paid for Sharing Health Data?

Can patients and clinicians be fairly rewarded for sharing healthcare data? Rajeev Ronanki, CEO of Lyric, discusses a future where AI-enabled tools empower community oncology practices with personalized digital agents. He outlines how reimbursement models can support physicians scaling their care using AI, and why rewarding patient data sharing is both ethical and economically sound.

AI Makes Full Body MRI Screening Affordable - with Emi Gal

Ezra CEO Emi Gal breaks down how AI is revolutionizing full-body MRI cancer screening. Learn how FDA-cleared tools accelerate scan time, assist radiologists, and empower patients with easy-to-understand reports—all for just $499. Discover why early detection matters, especially for younger adults, and how Ezra is scaling access to lifesaving diagnostics.

Inside the FDA’s Bold Elsa AI Move: Rajeev Ronanki Explains

Rajeev Ronanki, CEO of Lyric and former Elevance Health executive, unpacks what the FDA’s AI initiative—Elsa—really means for drug innovation and regulation. Rajeev outlines how the agency can use data it already has to drive smarter, faster decisions. He draws powerful parallels to autonomous vehicles and urges the FDA to embrace AI while maintaining scientific rigor.

Trust, ethics, and data bias in AI

Trust in AI cannot exist without ethics - and ethics cannot exist without confronting data bias. Discover how artificial intelligence can become a force for safety, fairness, and innovation in healthcare when designed with integrity from the ground up.

In this compelling exchange, Dr. Sanjay Juneja (sjunejamd.com) interviews Rajeev Ronanki (LinkedIn), CEO of Lyric, to uncover how AI can be engineered to identify bias, self-evaluate decisions, and evolve into a trusted collaborator in clinical care. They reveal practical strategies for bias detection, the vision of an "AI Hippocratic Oath," and why ethics must precede deployment - especially in medicine.

Healthcare leaders, CIOs, CMOs, engineers, and innovators will gain critical insight into governance frameworks that future-proof AI adoption.

Rajeev Ronanki: Real-Time Payer-Provider Collaboration

Rajeev Ronanki, CEO of Lyric and author of You and AI, joins Dr. Sanjay Juneja to discuss a radical rethinking of payment in healthcare. Instead of upgrading legacy systems, Rajeev proposes bypassing them using trusted AI agents that mediate between EMRs and payers. They explore real-time adjudication, the importance of trust and transparency, and how scalable AI tools can serve even community clinics. Learn how AI is reshaping healthcare finance from the ground up.

Where does the AI liability lie?

AI in healthcare brings breakthroughs - but also new legal and ethical risks. Who’s responsible when an AI-assisted diagnosis leads to harm? The licensed physician? The hospital? The tool’s developer? As AI becomes embedded in clinical workflows, this question becomes unavoidable. In this conversation, Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), interviews Dr. Colleen Lyons, clinical research ethicist (https://aicommons.champlain.edu/people/colleen-p-lyons/), to unpack AI liability in modern healthcare. They explore frameworks for ethical responsibility, institutional risk, informed deployment, and the leadership competencies needed to navigate intelligent failure.

How does the Belmont Report relate to AI ethics in healthcare?

AI is reshaping clinical care, but can we apply trusted bioethical principles to its rapid adoption? This discussion explores how the Belmont Report’s three ethical pillars - autonomy, beneficence, and justice - remain essential as AI tools enter diagnosis, decision-making, and patient communication in modern healthcare. Hosted by Mika Newton, CEO of xCures, with expert insights from Dr. Colleen Lyons, a leading clinical research ethicist, the discussion covers informed consent in AI-assisted care, transparency versus explainability, and the ethical implications of asymmetrical power in AI systems. Gain a deeper understanding of how healthcare leaders can navigate AI integration while safeguarding patient rights and institutional trust.

Regulation vs Deregulation of AI in Healthcare

Is AI in healthcare racing toward a crash? Discover what happens when innovation outpaces oversight, and why unchecked growth could lead to another industry meltdown. Mika Newton, CEO of xCures (https://www.linkedin.com/in/mikanewton/), and Dr. Colleen Lyons, clinical research ethicist at Champlain College (https://aicommons.champlain.edu/people/colleen-p-lyons/), unpack the consequences of deregulation and the unintended barriers of over-regulation. They explore the ethics, governance models, and leadership competencies required to navigate the volatile, uncertain, complex, and ambiguous (VUCA) world of AI-driven healthcare. Learn why compliance alone won't future-proof your organization, how to embed ethical frameworks that actually work, and how to recognize when you're stuck in a hype cycle with no real value.