Harry talks wth Geisinger's Dr. Aalpen Patel about machine-learning algorithms that can help radiologists read CT scans and speed up diagnosis of urgent conditions.
What if we could use machine learning to train software to read CT scans of patients with intracranial hemorrhaging? Time to diagnosis could be doubled, potentially saving lives. This week Harry discusses such questions with Dr. Aalpen Patel, a physician-engineer who chairs Geisinger's department of radiology and directs is 3D imaging and printing laboratory.
This episode is the first in a two-part series on getting AI, machine learning, and analytics working in the healthcare provider setting, recorded as part of the AI World conference produced by Cambridge Innovation Institute in Boston in December 2018.
You can read a full transcript of this episode and browse all of our other episodes at glorikian.com/podcast.
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