The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...
A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...
Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...
Pulse Nigeria on MSN
AI for Medical Diagnosis in Lagos Hospitals: From Eye Diseases to Cancer Detection
With over 20 million residents, the city’s hospitals face immense pressure to deliver timely and accurate medical services. A ...
Objective Because physician burnout negatively affects patients, organisations and those impacted, we aimed to identify and ...
FICO established its own ranking algorithm to ensure its proprietary finance-specific AI models do not hallucinate.
Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...
A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...
A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
Our panel weighs in on what it's being called an AI-enhanced immersive experience, premiering in Las Vegas at the Sphere. ABC News’ Ashan Singh talks to Grammy-winning artist and producer Timbaland ...
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