Baylor College of Medicine October 15, 2021
Alex Tsalidis

Bhattad and Jain argue that “artificial intelligence (AI) is the driving force of the latest technological developments in medical diagnosis with a revolutionary impact” in a recent paper. But what happens when an AI produces a wrong breast cancer diagnosis (perhaps based on a bias), the physician accordingly fails to assign the right treatment, and the patient suffers metastasized cancer?

AI technologies employ machine learning to learn from new data by identifying complex, latent (“hidden”) patterns in datasets. These systems are increasingly being used to assist in patient healthcare, be it by predicting outcomes or identifying pathology. However, this complexity can reach a point where neither the developers nor the operators understand the logic behind the production of the output. These “black-box” systems ingest data and output...

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Topics: AI (Artificial Intelligence), Patient / Consumer, Physician, Provider, Technology
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