Latest posts
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A Look into the Future: How AI and Eye Scans Could Save Mothers’ Lives
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…
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AI-Powered Maternal Health: How Advanced Technology Can Reduce Preeclampsia Complications
By Chukwuma I. Onyeije, MD Introduction: The Preeclampsia Challenge and the Promise of AI Every 7 minutes, a woman dies from complications of pregnancy and childbirth-related hypertensive disorders. Preeclampsia alone affects 5-8% of all pregnancies globally, contributing to over 70,000 maternal deaths and 500,000 fetal and neonatal deaths annually. Behind these statistics are real women,…
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The Scalpel and the Algorithm – A New Era for Physicians
DEEP DIVE PODCAST The Scalpel and the Algorithm – A New Era for Physicians In today’s data-driven healthcare landscape, physicians who understand both medicine and code are becoming the new pioneers of patient care. Imagine diagnosing complex diseases with AI algorithms you’ve personally fine-tuned to your clinical practice, or building the next breakthrough medical app…
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The Dangerous Limitations of Static AI in Maternal Care: When Preeclampsia Prediction Models Fail Over Time
A Critical Reassessment of “Consecutive Prediction of Adverse Maternal Outcomes of Preeclampsia Using PIERS-ML and fullPIERS models” Deep Dive Podcast: The Promise of Prediction in Maternal Care Imagine being able to predict which pregnant patients are on the brink of severe complications with data-backed precision. That’s the holy grail in maternal-fetal medicine. Models like fullPIERS…
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How AI Can Uncover Hidden Cardiovascular Risks in Pregnancy: A Case for Smarter Screening
An analysis of: Gestational Blood Pressure Trajectories and 5-Year Postpartum Hypertension Risk in the MADRES Study Deep Dive Podcast: Why It Matters Cardiovascular disease remains the leading cause of maternal morbidity in the United States. As clinicians, we rely on blood pressure thresholds and diagnostic criteria to identify at-risk patients — but what if your…
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Predicting Preeclampsia Risk in the Digital Age: What Consecutive Modeling Means for Your Patients
Deep Dive Podcast: Introduction: The High Stakes of Maternal Care Every seven minutes in the United States, a woman is diagnosed with preeclampsia—a pregnancy complication that remains one of the leading causes of maternal and fetal morbidity worldwide. Despite advances in obstetric care, the ability to accurately predict which patients will develop severe complications has…
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Revolutionizing Maternal Care: How Deep Learning is Transforming Fetal Monitoring and Preventing Birth Complications
By Dr. Chukwuma Onyeije – Doctors Who Code DEEP DIVE PODCAST: The days of guesswork in fetal monitoring may soon be behind us. Deep learning algorithms are now outperforming experienced obstetricians in predicting life-threatening conditions during childbirth—and the implications for maternal and infant health are profound. The Hidden Crisis in Labor and Delivery Units Every…
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Transform Your Medical Practice in 2025: The AI Revolution for Coding Doctors
Deep Dive Podcast: Transform Your Medical Practice in 2025: The AI Revolution for Coding Doctors “I was skeptical at first, but this AI system saved my practice. I’m saving 20+ hours per week and catching rare diagnoses I might have missed,”says a leading oncologist at a major West Coast medical center. “My patients are getting…
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Breaking Barriers: GPT-4 Matches Physician Performance on Medical Board Exams
Deep Dive Podcast: In a groundbreaking development that signals a new era in healthcare, artificial intelligence has achieved what many thought impossible: performing at the level of resident physicians on medical board examinations. A landmark study published in NEJM AI has demonstrated that GPT-4, the latest large language model from OpenAI, can match—and sometimes exceed—the…
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The Hidden Side Effect of Medical AI Nobody Talks About
Navigating Jevons’ Paradox in Healthcare Technology: When Efficiency Fuels Demand A blog post by Chukwuma Onyeije, MD of Doctors Who CodeMeta Description: Explore how Jevons’ Paradox impacts healthcare innovation, why AI-driven efficiency can spike resource use, and strategies for sustainable tech adoption. Ideal for doctors who code and healthcare technologists. Deep Dive Podcast: Jevons’ Paradox in…