Medical malpractice claims, tragic patient outcomes, and preventable errors have long plagued our healthcare system, fueled by the inherent limitations of human clinicians. But there is a revolutionary force in medicine that has the power to transform these outcomes: artificial intelligence (AI). Despite AI’s proven ability to identify diseases with greater speed and accuracy than human experts, many healthcare providers are resisting its integration. This hesitation is no longer just a technological lag—it is an ethical and legal failure. As Jason Matzus, a prominent Pittsburgh medical malpractice lawyer, asserts: “The refusal to ...
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A team trained a deep learning pose-recognition algorithm on video of infants in the NICU to identify key neurologic metrics.
Despite the recent advancements in artificial intelligence in medicine, it has yet to reduce physician workload and burnout.
may be at risk if their phone settings change following updates to software or hardware
“AI can offer a new paradigm in how we deliver IVF treatment and could lead to better outcomes for patients.”
For years, the industry has used machine learning — a form of AI — to predict which patients are most likely to have a ...
Dr. Von Nguyen on the Use of AI in Medicine.
Dr. Von Nguyen, Chief Clinical Officer at Evolent, discusses the use of AI and technology in medicine and population health.
In this analysis, the model performed best for predicting survival Asian patients and worst for Non-Hispanic Black patients.
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