Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

University Hospitals Seidman Cancer Center researchers have developed a tool that could identify metastatic prostate cancer ...

Integrating the ultrasound sliding sign helps predict stage IV ovarian endometriosis, according to a study published in Fertility and Sterility.

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Persistent depression following transient ischemic attack is associated with a 4-fold increase in 5-year all-cause mortality and higher disability.

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

A new study published in the journal of BMC Women’s Health showed that menstrual abnormalities are significantly increased by ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity.