How a cardiologist used AI agents to boost reviews by 60%

Medicine’s bottleneck isn’t effort. It’s how much one person can hold in their head. Lucia, a practicing cardiologist, set out to close that gap without handing the diagnosis to a machine.

Guest

Lucia

Practicing cardiologist and strategy lead, LionAIs

Splits her week between intensive care and strategy. Builds clinical decision tools for the gap between what medicine knows and what any one doctor can keep in mind.

Follow Lucia on LinkedIn →

Anirudh Narayan

Co-founder & Chief Growth Officer, Lyzr

Co-founder & Chief Growth Officer, Lyzr. He built Agent Sam, the AI agent that pitched Lyzr to its Series A investors.

Follow Ani on LinkedIn →

Must watch if you’re building AI for work where a wrong answer has a patient attached to it.

Chapters

Orange dot marks a key moment

Lucia and Anirudh Narayan on How We Agent, episode 2: LionAIs

Watch onYouTube Listen onSpotify Listen onApple Podcasts

Five moments worth pressing play for

Short on time? Pick up where you want.

Moment 01

The gap is cognition, not effort

Medical knowledge keeps growing. A clinician’s hours and working memory don’t.

Medical knowledge: growing every yearOne doctor’s bandwidth: fixed
Moment 02

AI as a cognitive layer, not a replacement

The agents carry the reading, the cross-checking and the pattern matching. That frees the doctor for the part only a person can do.
Moment 03

Inside the clinical decision tool

Sixteen specialized agents, each pointed at one part of a cardiac case, including:
- Symptom analysis
- Test result review
- Imaging analysis
- ECG interpretation
- Radiology review
- Medication assessment
Moment 04

Why generic AI isn’t enough here

A clinical tool has to produce something a doctor can defend to a colleague:
- Reports aligned to ESC and AHA/ACC guidelines
- Encrypted storage and audit trails
- HIPAA-grade compliance
- Full ownership of the data
Moment 05

Handing the build to clinicians

The last barrier isn’t the model. It’s who gets to build. Lucia closes on putting these tools in clinicians’ hands with Architect, no engineers required.