Clinical Implications and Challenges of Artificial Intelligence and Deep Learning

Artificial intelligence (AI) and deep learning are entering the mainstream of clinical medicine. Clinicians should view the output of AI programs or devices as statistical predictions. They should maintain an index of suspicion that the prediction may be wrong, just as they do when the laboratory re...

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Bibliographic Details
Published in:JAMA : the journal of the American Medical Association 2018-09, Vol.320 (11), p.1107-1108
Main Author: Stead, William W
Format: Article
Language:English
Subjects:
Artificial intelligence
Clinical medicine
Deep learning
EKG
Physicians
Potassium
Predictions
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Summary:Artificial intelligence (AI) and deep learning are entering the mainstream of clinical medicine. Clinicians should view the output of AI programs or devices as statistical predictions. They should maintain an index of suspicion that the prediction may be wrong, just as they do when the laboratory reports a high potassium value and the physician orders an electrocardiogram to see if the T wave is peaked before addressing the laboratory value.
ISSN:0098-7484
1538-3598
DOI:10.1001/jama.2018.11029