How AI Can Improve the Diagnosis and Treatment of Diseases

Data-driven medicine promises to pick out much more subtle trends — patterns that may only be apparent when you can compare the health care histories of tens of thousands of patients. Patterns that can drive much more effective treatments. As a result, medicine — particularly radiology and pathology — has become more data-driven.

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BWH, MGH Partner to Advance Artificial Intelligence in Health Care

The Brigham and Massachusetts General Hospital have teamed up to form the MGH & BWH Center for Clinical Data Sciences (CCDS) to create, promote and commercialize artificial intelligence in health care.

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Improving Radiology with Artificial Intelligence

Artificial intelligence has become a buzzword in many fields. For manufacturing, it may mean a loss of jobs, but for radiologists, implementing artificial intelligence may result in a more efficient use of time, and the ability to focus on more difficult cases.

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Dr Google will see you now

Google Glass is alive and kicking; San Francisco health start-up Augmedix is refining the internet-browsing eyeglasses to give doctors real time access to patients’ electronic health records and the web.

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Development of Artificial Intelligence to Aid Radiology

At RSNA 2016, the key buzzwords were “deep learning,” “machine learning” and “artificial intelligence.” Vendors and major academic centers are developing a wide array of artificial intelligence neuro networks to aid radiologists in clinical diagnosis and clinical decision support. Here are two examples of how the IBM Watson system examines a mammography and cardiac patient imaging studies. Watch the VIDEO “Development of Artificial Intelligence to Aid Radiology,” an interview with Mark Michalski, M.D., director of the Center for Clinical Data Science at Massachusetts General Hospital, explaining the basis of artificial intelligence in radiology.

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Video from RSNA 2016: Can AI rescue radiologists from isolation?

Many radiologists are viewing artificial intelligence (AI) technology with trepidation. But could AI help rescue radiologists from further isolation from the rest of the healthcare community? Dr. Mark Michalski, director of the Center for Clinical Data Science at Massachusetts General Hospital, ponders this intriguing question in this video from RSNA 2016.

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No Bones About It: Deep Learning Speeds Diagnosis of Kids’ Growth Problems

Ask doctors and they’ll tell you: In children, there’s chronological age and there’s bone age. When the two don’t match, there’s a problem. Bones that mature too quickly or too slowly may impair a child’s growth.

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