Inside Precision Medicine April 19, 2024
A deep learning system can markedly improve the detection of early-stage esophageal cancers during routine endoscopy, according to a randomized, controlled trial (RCT).
The artificial intelligence system nearly doubled the ability of clinicians to identify high-risk esophageal lesions (HrELs)—consisting of esophageal cancer or precancerous lesions— compared with unassisted endoscopy.
This translated into the detection of one extra positive HrEL case per 111 patients screened, the investigators reported in Science Translational Medicine.
“The present study is the first prospective large-scale RCT to validate the effects of a deep learning–based system to improve the performance of endoscopists in detecting cancerous esophageal lesions,” stated Shao-Wei Li, PhD, an assistant professor at Taizhou Hospital of Zhejiang Province in China, and co-workers.
Their findings could...
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