Indra Reddy Mallela's groundbreaking work in optimizing credit risk models for Multi-Family (MF) and Commercial Real Estate ...
AI models analyzing tumor-infiltrating lymphocytes show promise in predicting outcomes for triple-negative breast cancer, but ...
Glaucoma risk can be managed more effectively with the ability to use polygenic risk scores to identify individuals who can ...
Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by a loss of immune tolerance, affecting ...
Back-testing analysis of the scoring model revealed compelling evidence of its effectiveness in identifying and managing risk ...
Development of a prediction model using machine learning (ML) method for tumor progression in oral squamous cell carcinoma (OSCC) patients would provide risk estimation for ... development cohort and ...
As per APNews, the AI model is inventing text (commonly referred ... Microsoft has stated that the tool is not intended for high-risk use, though healthcare providers are starting to adopt the ...
More information: Arunashis Sau et al, Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study, The Lancet ...
For validation and derivation of the prediction model, subjects were divided into a validation set ... with patients categorised into low-risk and high-risk groups. The performance comparison between ...
I was concerned but this validation of the recent AHA PREVENT CVD ... That each 1% increase in the PREVENT model was associated with an increase in observed risk of CV death >1% (i.e., underprediction ...