Researchers propose a hybrid quantum framework for detecting lung cancer, utilizing deep learning methods and quantum computing to improve accuracy and speed.
Browsing: Lung Cancer
This article discusses new research being presented at the American Thoracic Society International Conference by experts in respiratory medicine from the Mount Sinai Health…
The AI in Cancer Diagnosis Market is experiencing rapid growth, with a projected valuation of USD 845.78 billion by 2030. This is driven by…
Fujitsu has developed an explainable AI technology that uses data in multiple formats to create knowledge graphs, which can accurately support medical diagnoses. The…
This article discusses the use of positron emission tomography and computed tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (F-FDG PET/CT) for early identification, staging, and efficacy evaluation of…
This paper discusses the use of machine learning techniques to analyze a large volume of data and identify areas most at risk of air…
This article presents the development of an artificial intelligence (AI) tool, trained to analyze chest CT reports, for the accurate detection of potentially cancerous…
This thesis presents two machine learning based diagnosis classifiers for lung cancer and interstitial lung disease (ILD). The first classifier is trained on a…