A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
Abstract: Lung cancer persists as a primary cause of cancer mortality worldwide, largely due to delayed diagnosis and the morphological similarity between benign and malignant pulmonary nodules in ...
Radiological reporting is a central component of clinical decision-making and a patient safety-critical system. Radiology ...
Britain's most valuable company said its experimental lung disease medicine met its target in two late-stage clinical trials. The respiratory treatment Tozorakimab, reduced flare-ups of chronic ...
The European Medicines Agency’s (EMA’s) Committee for Medicinal Products for Human Use (CHMP) adopted positive opinions for two drugs for the treatment of adults with small cell lung cancer (SCLC).
Accurate preoperative localization is crucial to improving the success rates of thoracoscopic surgery and minimizing postoperative complications. Hook-wire localization can be inaccurate when marking ...
Led by researchers at the Vanderbilt University Medical Center, a new study reports that Optellum's FDA-cleared Lung Cancer Prediction (LCP) AI assisted risk stratification for indeterminate lung ...
Abstract: Early and precise detection of pulmonary nodules is crucial for improving the diagnosis and treatment outcomes of lung cancer. However, manual reading of traditional CT images has ...
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