In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

An algorithm that reads CT reports can spot and categorize complications of diverticulitis and help predict which patients are likely to have a recurrent episode.

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

A new study using an advanced "digital twin" artificial intelligence model has found that factors such as loneliness, ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

One of the most puzzling aspects of common chronic inflammatory skin diseases such as psoriasis is how they become chronic. What allows an ongoing condition to stay dormant for months or even years, ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma with high accuracy.

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...