Patient was not fit for Docetaxel therapy and he was put on monthly Denosumab injection 120 mg/1 syringe, and Abiraterone ...

A breakthrough new AI model is able to detect the presence of different lung diseases from ultrasound videos, with 96.57% ...

Edgardo S. Santos, MD, FACP, FASCO, a hematologist and medical oncologist, discussed how artificial intelligence (AI) is ...

A 41-year-old California man died from a rare case of lung cancer transmitted through ... As a precaution, the doctors asked him to do a CT scan after 10 months of the transplant, and it showed ...

1 Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China 2 Department of Radiology, The Second Affiliated Hospital of Guangxi Medical University, ...

Methods: A total of 513 patients with pathologically-confirmed stage I lung adenocarcinoma were retrospectively enrolled and were divided into training cohort (n = 386) and independent validation ...

Methods Current and former heavy smokers participating in a lung cancer screening trial were recruited to the study and all underwent CT. Spirometry was performed at baseline and at 3-year follow-up.

The seven best autoPET teams report in the journal Nature Machine Intelligence on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT).

For this study, researchers gathered inhalation and exhalation lung CT scans for nearly 8,900 patients tested between November 2007 and April 2011, along with their spirometry data.

This project leverages U-Net for lung region segmentation and CNN for cancer classification using CT scan images. It aims to enhance lung cancer detection accuracy through deep learning techniques.