Doctors Who Code

IntroductionWhen clinicians hear about artificial intelligence, we often jump straight to buzzwords like “deep learning” or “neural networks.” But behind every powerful AI tool — from imaging diagnostics to predictive models in obstetrics — lies simple math. In Why Machines Learn, Anil Ananthaswamy begins by highlighting scalars and vectors as the foundation of machine learning. […]

Data-Driven Pregnancies: Continuous Glucose Monitoring and the Revolution in Diabetes Care By Chukwuma Onyeije, MD, FACOG For medical professionals exploring how technology can transform patient outcomes, the management of diabetes in pregnancy (DIP)—whether Type 1 Diabetes (T1D), Type 2 Diabetes (T2D), or Gestational Diabetes Mellitus (GDM)—is a powerful case study. The stakes could not be […]

Reflections from reading Anil Ananthaswamy’s Why Machines Learn Deep Dive Podcast: 📖 Introduction I’ve recently started reading Why Machines Learn by Anil Ananthaswamy, a book that traces the elegant mathematics behind modern artificial intelligence. As I work through the chapters, I want to practice “reading in public” — sharing insights while the ideas are still […]

“AI said it was fine, then a human died.” That’s the headline that sticks — dramatic, chilling, and meant to slam the brakes on any optimism about AI in medicine. But here’s the truth: fear-driven narratives, while gripping, obscure the very real progress AI is already making in healthcare. At Doctors Who Code, we live […]

Transforming clinical variability into actionable probabilities for evidence-based maternal-fetal care Introduction: Harnessing Uncertainty in Medicine Precision is the aspiration of medicine, yet uncertainty shapes every decision. In maternal-fetal medicine (MFM), this uncertainty compounds—we are caring for two patients at once, with overlapping but not identical risks. Should we induce at 37 weeks to protect the […]

Abstract Objective: To explore the lived experiences of clinicians and patients navigating artificial intelligence integration in maternal-fetal medicine through narrative analysis. Design: Composite narrative study drawing on clinical experience, literature review, and case analysis. Setting: Academic maternal-fetal medicine practice implementing machine learning risk assessment tools. Participants: Composite characters representing maternal-fetal medicine specialists, patients, and physician-developers. […]

Artificial intelligence is no longer just a buzzword in healthcare—it is becoming a real, measurable force in medical education and clinical decision-making. The PERFORM Study, recently published in Mayo Clinic Proceedings: Digital Health, takes this conversation to the next level by directly comparing AI large language models (LLMs) with human OB-GYN residents across standardized clinical […]

https://gemini.google.com/share/83cef3e83524 In this installment of Doctors Who Code, “The Marvelous Mind of Johnny von Neumann,” the series delves into the life and legacy of John von Neumann (1903–1957), illuminating how his prodigious intellect and cross-disciplinary brilliance underpinned the emergence of what we today recognize as artificial intelligence. 1. A Polymath of Unparalleled Reach John von Neumann was […]

“The best time to innovate is before everyone else catches up.” At Atlanta Perinatal Associates, we’ve taken that message to heart—and to code. DEEPER DIVE PODCAST: 🔍 Why This Matters Now The era of fingerstick glucose monitoring in pregnancy may soon be a relic of the past. Thanks to a game-changing policy update, Medicaid now […]

Deep Dive Podcast: Introduction Imagine transforming your patient consultations into polished, informative presentations with minimal effort. In the fast-paced world of medicine, efficiency and clear communication are crucial. By leveraging cutting-edge technology, you can streamline your practice, improve patient care, and save time. Let’s explore how you can turn every patient visit into a valuable […]

A response to “Connecting with Fetus: The Use of App-Based Fetal Movement Counting and Experiences During Pregnancy and Birth” (2025) Deep Dive Podcast: Introduction As physicians who code, we stand at a unique intersection of clinical practice and technological innovation. A recent study published in Midwifery (2025) on app-based fetal movement counting offers compelling insights […]

DEEP DIVE PODCAST: How Deep Learning is Turning Routine Eye Exams into Life-Saving Screens Imagine walking into a clinic for a routine prenatal check-up. Instead of just the usual measurements, you have a simple photograph taken of the back of your eye. Minutes later, you get a powerful glimpse into your pregnancy’s future, potentially identifying […]