Abstract
Residents and fellows can play a helpful role in promoting safe and effective machine learning tools in sleep medicine. Here we highlight the importance of establishing ground truths, considering key variables, and prioritizing transparency and accountability in the development of machine learning tools within the field of artificial intelligence (AI). Through understanding, communication, and collaboration, in-training physicians have a meaningful opportunity to help progress the field towards safe machine learning tools in sleep medicine.
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Schedule a callMore From: Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine
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