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clinical-ai

17 posts

Vintage congenital heart disease textbook illustration of Ebstein's anomaly beside a modern cyan-lit echocardiography interface
Clinical + Code Featured

Dead Weight: What a 1970 Cardiology Textbook Taught Me About the Future of Clinical Evidence

A half-century-old textbook on congenital heart disease. A chapter on Ebstein's anomaly. A comparison that changed how I think about evidence, AI, and what we owe the next generation of physicians.

evidence-based-medicineclinical-evidenceebsteins-anomaly
A Go board with one glowing stone in the foreground, overlaid with retinal imaging, protein structure, ECG signals, and medical data visualizations
AI in Medicine Featured

The Map Has Blind Spots

Move 37 was not a parlor trick. It was a warning. Physician-developers need to be ready for the moment AI starts finding medically important patterns our inherited maps never taught us to see.

· 8 min read
aiclinical-aiphysician-developer
Physician-developer at a night workstation reviewing a clinical note workflow, code, and model evaluation dashboards
Clinical + Code Featured

AI Just Outperformed Physicians at Clinical Writing. This Should Not Surprise You.

HealthBench Professional shows AI has already crossed the threshold in clinical writing and documentation. The real lesson is not replacement. It is that physician-developers need to build the harness.

· 8 min read
clinical-aidoctors-who-codephysician-developer
A lone silhouette stands before a towering AI medical dashboard glowing cyan, while a warm doctor's office with a stethoscope waits through an open door behind him
AI in Medicine Featured

When AI Told a Dying Man What He Wanted to Hear

Joe Riley trusted AI over his oncologist and died of a treatable cancer. His tragedy wasn't naivety — it was earned distrust, amplified by a machine that had no way to know the difference.

AI in MedicinePatient SafetyMedical Misinformation
Physician-developer at a dark workstation with fragmented clinical PDFs on the left monitor and clean structured Markdown output on the right, a cracked digital wall separating the two
Artificial Intelligence

The PDF Wall: Why Your Clinical RAG Keeps Hallucinating

Your clinical RAG system is not hallucinating because the model is bad. It is hallucinating because your document pipeline is broken. Here is what clinical PDF parsing actually requires, and why Docling is the fix.

· 11 min read
clinical-ragpdf-parsingdocling
Physician-developer at a workstation with terminal output and a clinical note glowing on dual monitors, GPU server on the desk, dark clinical office at night
Infrastructure Imperative Featured

The Local Advantage: Why Physician-Developers Should Build on Local LLMs Instead of Consumer AI

Consumer AI tools like ChatGPT and Claude are useful. But a physician-developer who deploys a locally fine-tuned model on controlled infrastructure has something more powerful: a clinical tool that learns your practice, respects your data, and costs less at scale.

· 12 min read
local-llmai-infrastructureclinical-ai
Physician-developer reviewing a clinical workflow while pre-visit summary, ambient capture, draft note, verification, coding support, and handoff steps appear around him
Clinical + Code Featured

Clinical Documentation Automation Should Remove Friction, Not Replace the Doctor

Documentation automation is not a typing solution. It is a workflow design problem. For physicians and physician-developers, the real goal is protecting clinical judgment from administrative drag.

· 8 min read
clinical-aidoctors-who-codemedical-software
Physician at a workstation reviewing medical images, code, and system monitoring dashboards side by side
Clinical + Code Featured

Doctors Who Code: Build Systems, Not Just Models

A TEDx pitch says physicians should build AI. I agree. But the work that matters is governance, validation, and delivery, not one-afternoon demos.

· 8 min read
aidoctors-who-codemedical-ai
Physician reviewing faxed referral pages beside a digital referral dashboard with ultrasound images
AI in Medicine Featured

The Referral System Is Broken for the Same Reason the Triage Line Is Broken

Nobody lost your fax. The system was designed to lose it. Referral failures are not clerical accidents. They are the predictable result of clinical infrastructure built for a different era.

· 12 min read
referralsphysician-developerhealth-tech
Hospital workstation with clinical dashboards and code monitors outside a patient room at night
AI in Medicine

When Medical Algorithms Code Racism Into Patient Care

Race-based clinical algorithms in kidney care and obstetrics did not just reflect bias. They operationalized it. Physicians now have a responsibility to challenge the software, logic, and architecture that turn racial fiction into patient harm.

· 8 min read
algorithmic biashealth equityphysician-developer
Pregnant woman sitting alone on a dark couch late at night, her face lit by the glow of her phone as she types a medical question into a chatbot
AI in Medicine Featured

Your Patients Are Already Using ChatGPT to Decide Whether to Call You

They are not asking it for fun. They are asking it because the triage line puts them on hold for 45 minutes. The threat is not the technology. The threat is the system that made the technology necessary.

· 10 min read
patient-safetyclinical-aiphysician-developer
Hospital IT conference room with vendor AI presentation on screen, physicians at the table, one with a code editor open
AI in Medicine

The EHR Vendor Wants You to Stay a Consultant

Physician passivity in health tech is not an accident. It is a business model. Understanding the structural incentives is the first step to building outside of them.

· 6 min read
ehrhealth-techphysician-developer
Patient alone in a hospital labor and delivery room, looking at a smartphone with a worried expression
Clinical + Code

The Limits of Viability: What Patients Find Before They Find You

When families face periviability, they search before they call. What they find shapes everything. Here is why physician-developers have a responsibility to build better.

· 7 min read
periviabilitypatient educationOpenMFM
Empty hospital conference room with whiteboard showing Users and Builders columns
AI in Medicine

When the Algorithm Fails, Who Answers for It?

Every physician using an AI tool has heard the liability question. Most of us answer it wrong. The real answer is not about insurance. It is about who was in the room when the tool was designed.

· 6 min read
accountabilityphysician-developerai-liability
Physician standing at the threshold of a modern software development workspace, one step from entering
AI in Medicine Featured

Augmented Intelligence Is a Physician Problem. That Makes It a Physician-Developer Opportunity.

The AMA opened the door. Physicians must decide what to do with it. The survey data is not a comfort. It's a challenge. Here's what physician-developers do next.

· 9 min read
augmented intelligenceAMAphysician-developer
Healthcare Technology

Part 1: The $50 Billion Bait-and-Switch

Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD

ai-in-medicineclinical-aidigital-health
Healthcare Technology

Part 2: What We Should Actually Build

Maternal-Fetal Medicine Specialist & Founder, CodeCraftMD

ai-in-medicineclinical-aiclinical-decision-support