Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints

Ohad Oren, Bernard J. Gersh, Deepak L. Bhatt

The Lancet Digital Health · 2020

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Summary

Artificial intelligence (AI) is a disruptive technology that involves the use of computerised algorithms to dissect complicated data. Among the most promising clinical applications of AI is diagnostic imaging, and mounting attention is being directed at establishing and fine-tuning its performance to facilitate detection and quantification of a wide array of clinical conditions. Investigations leveraging computer-aided diagnostics have shown excellent accuracy, sensitivity, and specificity for the detection of small radiographic abnormalities, with the potential to improve public health. However, outcome assessment in AI imaging studies is commonly defined by lesion detection while ignoring the type and biological aggressiveness of a lesion, which might create a skewed representation of AI

Source type
Peer-reviewed study
DOI
10.1016/s2589-7500(20)30160-6
Catalogue ID
SNmojbijxj-94sbp2
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