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This JAMA Guide to Statistics and Methods explains the basic concepts underlying convolutional neural networks (CNNs), a type of machine learning being used to automate the reading of medical images.
Key PointsQuestionDo rates of burnout and career choice regret among resident physicians vary by clinical specialty?
FindingsIn this prospective cohort study of 3588 second-year resident physicians with follow-up since medical school, reported symptoms of burnout occurred in 45.2% of...
In this Viewpoint, Geoffrey Hinton of Google’s Brain Team discusses the basics of neural networks: their underlying data structures, how they can be trained and combined to process complex health data sets, and future prospects for harnessing their unsupervised learning to clinical challenges.
ImportanceOverweight and obesity have been associated with adverse health effects.
ObjectiveTo systematically review evidence on benefits and harms of behavioral and pharmacotherapy weight loss and weight loss maintenance interventions in adults to inform the US Preventive Services Task Force....
In this narrative medicine essay, an intensivist tells how he and his colleagues joined in a moment of silence to honor the ICU death of a man under their care with a do-not-resuscitate order.
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