Robust Detection Of Gallbladder Cancer Using Deep-learning-assisted Us Imaging

In a large prospective study published in The Lancet, researchers from India developed and validated a deep-learning (DL) model to automate the detection of gallbladder cancer (GBC) via abdominal ultrasound (US) imaging. The study found that the DL-based method had high sensitivity in performance comparable to radiologists, and could detect GBC even in the presence of stones, in contracted gallbladders, with a lesion size less than 10 mm and neck lesions. The method’s sensitivity for mural thickening type of GBC exceeded that of a radiologist.