A novel human-machine interface (HMI) combining mobile optical coherence tomography (OCT) and deep learning algorithms enables automatic identification of lung lesions during surgery. With over 80% sensitivity and specificity, this technique facilitates rapid histologically graded diagnosis, providing fast information to clinicians. It offers a cost-effective approach for early detection and treatment guidance, benefiting patients and advocating their rights in the battle against lung cancer.
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