For decades, diagnosing and treating mental health challenges in Africa has been hindered by limited data, cultural mismatches in diagnostic tools, and a shortage of trained professionals.
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Donation after circulatory death (DCD) procurements provide an opportunity to alleviate the limited organ supply for solid ...
Taking a page from market research tactics, UC San Francisco experts are studying whether artificial intelligence (AI) can ...
Skin cancer impacts millions of Americans annually, but your chances of getting skin cancer and when it is diagnosed depend ...
Background: Eczema and psoriasis are common chronic dermatoses with overlapping features, making early differential diagnosis difficult. While biopsy is the gold standard, its invasiveness and ...
ML models may have utility in supporting the diagnosis and management of CLL. A review of machine learning (ML) models developed to support the management of chronic lymphocytic leukemia (CLL) have ...
Background: The diagnosis-related groups prospective payment system (DRG-PPS) is widely implemented worldwide. Its core components include disease classification and pricing mechanisms. Developing a ...
ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...
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