The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...
Breaking research presented today at ADLM 2026 in Anaheim, California suggests that machine learning (ML) could play an important role in enhancing the accuracy of a standard blood test used to ...
A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
CDSCO formalises algorithm change protocol to streamline AI/ML software updates: Peethaambaran Kunnathoor, Chennai Friday, ...
Medical AI diagnostic accuracy can appear excellent on benchmarks while the model exploits physicians' test-ordering habits ...
The decision highlights the importance of documenting technical innovations during product development and how having technical and legal ...
For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...
Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in ...
AI tools are already being used in hospitals, clinics and doctors’ offices. Who is making treatment decisions, and who is ...
Machine learning decodes the complex chemical signatures in human breath to deliver rapid, non-invasive tuberculosis diagnoses ...
AI is the big umbrella; ML is how it learns; deep learning is powerful learning with neural networks; generative AI is AI that creates ...
University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for ...
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