In real-world test, an AI model did better than ER doctors at diagnosing patients
A study published in Science found that an AI model developed by OpenAI outperformed emergency room doctors in diagnosing patients using real-world electronic health records from Beth Israel Deaconess Medical Center. The AI demonstrated superior diagnostic accuracy across multiple stages of patient evaluation, including triage and hospital admission, when compared to two experienced physicians. Researchers emphasize the model's ability to work with messy, real-world data but caution against replacing doctors, instead suggesting AI could reshape clinical decision-making.
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Health In real-world test, an AI model did better than ER doctors at diagnosing patients April 30, 20262:00 PM ET By Will Stone Researchers tested an AI model against ER doctors and found the model outperformed the humans. shapecharge/E+/Getty Images hide caption toggle caption shapecharge/E+/Getty Images A patient shows up at the hospital with a pulmonary embolism — a blood clot that has traveled to the lungs. After initially improving, their symptoms start to worsen. The medical team suspects the medication isn't working. In steps artificial intelligence — with its own theory. It has scanned the medical records and suspects a history of lupus, an autoimmune condition which can lead to heart inflammation, could explain what was really ailing the patient.
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