A private community of clinicians and health leaders

Where healthcare learns AI.

Study the evidence. Build working skills. Sit with the people shaping how AI enters care.

81%
of US physicians now use AI in their work — up from 38% in 2023.AMA physician surveys
51.9% → 38.8%
clinician burnout, 30 days after ambient AI documentation.JAMA Network Open, 2026
40–60%
faster prior-authorization turnaround with agentic AI.Reported deployments, 2026

The briefing reads

  • JAMA Network
  • NEJM AI
  • The Lancet Digital Health
  • Nature Medicine
  • npj Digital Medicine
  • The BMJ
  • Health Affairs
  • Radiology: AI
  • JMIR
  • NEJM Catalyst
  • JAMA Network
  • NEJM AI
  • The Lancet Digital Health
  • Nature Medicine
  • npj Digital Medicine
  • The BMJ
  • Health Affairs
  • Radiology: AI
  • JMIR
  • NEJM Catalyst

The shift

The people who built modern AI keep saying the same thing about healthcare.

“The greatest opportunity offered by AI is … the opportunity to restore the precious and time-honored connection and trust — the human touch — between patients and doctors.”

Eric Topol, MD — Deep Medicine, 2019

“AI won’t replace radiologists — but radiologists who use AI will replace radiologists who don’t.”

Curtis Langlotz, MD, PhD — Stanford

What AIMOCS is

Study the evidence. Build the skills. Know the people.

Education

A curriculum you build through

Four tracks from AI foundations to agentic systems — each one finished with something you built.

Case studies

Evidence from real deployments

What actually shipped in clinical settings, what it changed, and what it cost to get right.

Leaders

The people steering the field

Recorded conversations with the clinicians, operators, and researchers deciding how healthcare adopts AI.

The curriculum

Two lanes, four tracks — every course stands alone.

Build if you'll write the code, Lead if you'll direct the people who do. Each track is a sequence of standalone courses that ends in a capstone you can show.

Build

AI Engineering

  1. Programming Foundations
  2. LLMs End-to-End
  3. Agentic AI Engineering

CapstoneA deployed healthcare agent, demoed live.

Build

Clinical Machine Learning

  1. Programming Foundations
  2. ML for Clinical Data
  3. Deep Learning in Medicine

CapstoneA validated clinical model with an honest eval report.

Lead

Healthcare AI Leadership

  1. Healthcare AI Landscape
  2. AI in Healthcare Operations
  3. Strategy & Governance

CapstoneA board-ready, governed AI pilot proposal.

Build + Lead

Health Tech Founder

  1. Working with Claude
  2. Building a Health Tech Startup
  3. AI in Healthcare Operations

CapstoneA working MVP and the pitch behind it.

Core courses come with membership; go deeper à la carte or by the track. Complete a track and earn its seal.

See the full curriculum →

Membership

One room, everything in it.

Membership includes the briefing, the library, the leader sessions, and the core courses. Go deeper on any track when you're ready — course by course, or by the bundle.

Explore membership
  • The weekly research briefing
  • The case-study library
  • Leader sessions, recorded
  • Core courses — the AI literacy foundation

The Founding Hundred

The first hundred to join are Founding Members.

The founding class sets the tone for everyone who follows — and the community remembers who was first.

A founding rate, for life

The first hundred lock the founding member rate — held for as long as you stay.

Priority review

Referrals from Founding Members move to the front of the review queue.

A voice in the build

The founding class shapes the curriculum, the guests, and the standards the community holds itself to.

Apply to join

Founding review begins soon.

When you're ready

Join the people steering AI in healthcare.

Not ready yet? Follow the work — we'll write when there's something worth reading.