New predictive algorithms improve early detection of undiagnosed cancers
7 Articles
7 Articles
New predictive algorithms improve early detection of undiagnosed cancers
Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, including hard to diagnose liver and oral cancers.


New algorithms can help GPs predict which of their patients have undiagnosed cancer
Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, including hard-to-diagnose liver and oral cancers. The new models could revolutionize how cancer is detected in primary care, and make it easier for patients to get treatment at much earlier stages.
Cancer Risk Predicted by New Algorithm Analyzing U.K. Health Data
Over 7.4 million U.K. adults’ anonymized electronic health records were used to create two new algorithms to predict a seemingly cancer-free patient’s chances of actually having the disease. The predictive algorithms use information about a person’s health conditions and results from simple blood tests. They were developed by researchers from Queen Mary University of London and the University of Oxford. The new models, they say, are much more se…
SALSA: a new artificial intelligence tool for the automated and precise analysis of liver tumors - Digital Health Technology News
Published in Cell Reports Medicine, results of a VHIO-led retrospective study demonstrate the potential of a novel, CT-based deep learning-driven tool to enhance liver cancer diagnosis, treatment planning, and response evaluation. Developed by VHIO investigators, the SALSA artificial intelligence (AI)-aided tool (SALSA) works directly on medical images, automatically detecting and delineating tumors. Barcelona, May 6. Investigators of the Vall d…
New algorithms can help GPs predict which of their patients have undiagnosed cancer – RamaOnHealthcare
Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, including hard-to-diagnose liver and oral cancers. The new models could revolutionize how cancer is detected in primary care, and make it easier for patients to get treatment [...]
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