Among more than 2,300 patients with advanced chronic liver disease, a six-parameter algorithm, known as PLEASE, indicated that patients stratified as high risk had a cumulative risk of developing de ...

Credit: Getty Images Large language models leverage transformed architecture to extract and summarize unstructured electronic health record data, enabling automated retrieval of clinically relevant ...

A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

Identifying Barriers and Facilitators to Scalp Cooling Therapy Through a National Survey of the Awareness, Practice Patterns, and Attitudes of Oncologists Emergency department visits and ...

*FIB-4 cut-offs are valid for age≤65 years (for >65 years, the lower FIB-4 cut-off is 2.0). **For example, lifestyle interventions, treatment of comorbidities (eg, glucagon-like protein-1 receptor ...

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