The focus of healthcare AI is shifting dramatically from diagnosis to administrative and clinical groundwork. This operational pivot is being driven by staffing shortages and overwhelming data volumes, with new tools aiming to give clinicians time back.
An AI model trained on over 421,000 mammograms can detect breast cancer risk patterns invisible to the human eye. Women in the high-risk AI group had nearly 5x higher cancer incidence than average-risk women, while density alone showed minimal separation.
While major health insurers struggle with soaring medical costs in Medicare Advantage, Alignment Healthcare has cracked the code on profitability. Their secret lies in a fundamentally different approach to managing senior care that’s delivering consistent results.
A new AI approach from Oxford researchers could transform cancer diagnostics by converting routine CT scans into PET-equivalent images. This technology addresses critical accessibility barriers in medical imaging while maintaining diagnostic accuracy.
Advanced machine learning models can predict secondary cancer risk following radiation therapy with unprecedented accuracy, according to new research. The study identifies radiation dose, patient age, and specific genetic mutations as crucial predictive factors. These findings could revolutionize long-term monitoring for cancer survivors.
Machine learning algorithms are demonstrating remarkable accuracy in predicting which cancer patients might develop secondary cancers following radiation therapy, according to a comprehensive study published in Scientific Reports. The research indicates that random forest, gradient boosting, and support vector machine models achieved approximately 98% accuracy in forecasting secondary cancer risk when properly trained on comprehensive clinical data.
A major study reveals cancer patients receiving immune checkpoint inhibitors experienced significantly improved survival when vaccinated with mRNA COVID-19 vaccines. Researchers report vaccinated patients were approximately twice as likely to be alive three years later compared to unvaccinated counterparts. The findings suggest potential dual benefits from widely available vaccines.
Cancer patients undergoing immunotherapy had double the three-year survival rate when they received at least one mRNA COVID-19 vaccine during treatment, according to a new study led by researchers from the University of Texas MD Anderson Cancer Center and the University of Florida’s McKnight Brain Institute. The research suggests commercially available COVID vaccines may provide significant benefits beyond viral protection for immunocompromised patients.
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