The following is a guest article by Nabila El-Bassel, Ph.D. DSW, Founding Director of the Social Intervention Group at the Columbia University School of Social Work
What if a physician assumed her patient was healthy,…
Dr. Michael Compton, a Columbia University professor triple-board-certified in psychiatry, preventive medicine, and lifestyle medicine joins eHealth Radio and the Health News and Nutrition Channels. He is author of Veggie Smarts: A Doctor and…
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Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…
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Nurse practitioners are being asked to do more and more in the healthcare delivery process. And like physicians, they have to deal with the impacts of healthcare information technology every day. And today that…
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Patients with rare diseases often experience prolonged diagnostic delays. Ordering appropriate genetic tests is crucial yet challenging, especially for general pediatricians without genetic expertise. Recent American College of Medical Genetics (ACMG) guidelines embrace early…
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Nurse practitioners are playing an ever-growing role in the delivery of healthcare. They’re vital members of the provider team. The future of the nurse practitioner profession looks bright, and fast-moving technology developments are a…
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BeatProfiler, a novel suite of cardiac analysis tools powered by machine learning, marks a groundbreaking advancement in cardiac research. Developed by Columbia University researchers, BeatProfiler automates heart cell analysis, facilitating precise measurements of contractility…
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Researchers from Johns Hopkins and Columbia University presented a groundbreaking technique at the Neural Information Processing Systems Conference to enhance AI and ML models’ performance in medical note analysis. Addressing the challenge of dataset…
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By Shania Kennedy
January 29, 2024 – Researchers from Johns Hopkins University and Columbia University have developed a technique to improve the performance of artificial intelligence (AI) and machine learning (ML) models for medical note analysis,…
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By Shania Kennedy
December 19, 2023 – Researchers from the Smidt Heart Institute at Cedars-Sinai, Stanford University, and Columbia University have developed and validated a deep learning (DL) model capable of predicting postoperative mortality risk, according…
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