Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.
Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...
A new hybrid AI model improves lung cancer detection on CT scans, achieving over 96% accuracy for early tumour identification ...
In the current global oncology landscape, solid tumors comprise over 70% of all cancer cases. They are responsible for the majority of cancer-related ...
Researchers have created a "metal detector" algorithm called PRRDetect to hunt down vulnerable tumors, in a development that could one day revolutionize the treatment of cancer.
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