Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study

Non-invasive multiple cancer screening using trained detection canines and artificial intelligence: a prospective double-blind study

Abstract The specificity and sensitivity of a simple non-invasive multi-cancer screening method in detecting breast, lung, prostate, and colorectal cancer in breath samples were evaluated in a double-blind study. Breath samples of 1386 participants (59.7% males, median age 56.0 years) who underwent...

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Bibliographic Details
Main Authors: Elizabeth Half, Adelina Ovcharenko, Ronit Shmuel, Sharon Furman-Assaf, Milana Avdalimov, Assaf Rabinowicz, Nadir Arber
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Detection canines
Cancer screening
Lung
Breast
Colorectal
Online Access:https://doi.org/10.1038/s41598-024-79383-2
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