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Pleura

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Prediction of visceral pleural invasion of clinical stage I lung adenocarcinoma using thoracoscopic images and deep learning.

Surgery today 37864054
PURPOSE: To develop deep learning models using thoracoscopic images to identify visceral pleural invasion (VPI) in patients with clinical stage I lung adenocarcinoma, and to verify if these models can be applied clinically.
Adenocarcinoma of Lung Aged Deep Learning Female Humans Lung Neoplasms Male Middle Aged Neoplasm Invasiveness Neoplasm Staging Neural Networks, Computer Pleura Predictive Value of Tests ROC Curve Sensitivity and Specificity Thoracoscopy Viscera
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Man versus Machine in Pleural Diagnostics: Does Artificial Intelligence Provide the Solution?

Annals of the American Thoracic Society 38299922
Artificial Intelligence Diagnosis, Differential Humans Machine Learning Pleura Pleural Effusion
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Preoperative evaluation of visceral pleural invasion in peripheral lung cancer utilizing deep learning technology.

Surgery today 38782767
PURPOSE: This study aimed to assess the efficiency of artificial intelligence (AI) in the detection of visceral pleural invasion (VPI) of lung cancer using high-resolution computed tomography (HRCT) images, which is challenging for experts because of...
Adult Aged Aged, 80 and over Artificial Intelligence Carcinoma, Non-Small-Cell Lung Deep Learning Female Humans Lung Neoplasms Male Middle Aged Neoplasm Invasiveness Neoplasm Staging Pleura Pleural Neoplasms Preoperative Period Retrospective Studies Sensitivity and Specificity Tomography, X-Ray Computed
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