Meet my new co-pilot in the doctor’s office: Artificial Intelligence

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The more I learn about the growing uses of Artificial intelligence in health care, the more convinced I become about its essential place in not just the lab or radiology suite but also in the doctor’s office. It can help usher in a world where tests and treatments are applied on an individual basis based on a patient’s unique history and predicament.

ChatGPT recently passed a radiology board style exam, even as it also informed one of my patients that his hemorrhoids might be from prolonged sitting before I thought to mention that possibility to him. At the same time, AI (a program called Sybil) has recently been found to help with earlier diagnosis of lung cancer by picking up abnormalities earlier than a human eye might detect them. Another study showed that it could be employed to measure multiple factors that predict pancreatic cancer up to three years before usual diagnosis. 

AI has the advantage of searching massive data bases for comparison purposes, allowing it to bring this to bear in detecting differences that signals early pathology. Earlier diagnosis leads directly to earlier treatments and cures.

Dr. Miriam Bredella, a prominent professor of radiology

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