How AI Can Help Doctors Make Better Decisions

David Sontag is a Professor of Electrical Engineering and Computer Science at MIT, part of the Institute for Medical Engineering & Science, the Computer Science and Artificial Intelligence Laboratory, and the J-Clinic for Machine Learning in Health. His research focuses on advancing machine learning and artificial intelligence, and using these to transform health care. Previously, he was an Assistant Professor of Computer Science and Data Science at New York University.
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Artificial intelligence (AI) can help improve healthcare by augmenting clinicians and patients. The widespread adoption of electronic medical records in the US has generated vast amounts of data that can be used with machine learning methods to address healthcare pain points. AI can help clinicians select the most appropriate treatments for patients. For example, an algorithm developed by MIT and Mass General Brigham can predict which antibiotics are most likely to resolve urinary tract infections, reducing inappropriate antibiotic prescriptions by 20% and the use of second-line antibiotics by 50%. Additionally, AI can help patients navigate the healthcare system by improving diagnosis and treatment options. For instance, a patient with multiple myeloma could benefit from AI algorithms that can predict the most effective treatment for them. Overall, AI has the potential to improve healthcare by leveraging the data generated by electronic medical records to provide clinicians and patients with better insights and recommendations.

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