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 risk stratification algorithm may be able to predict which patients with advanced chronic liver disease are at risk of developing hepatocellular carcinoma (HCC), according to a large-scale ...

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 ...

A Canadian study showed a high probability that using next-generation sequencing (NGS) for treatment sequencing based on risk stratification is cost-effective. Using a genetic assay for risk ...

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 ...

Protein, fat, and animal food intakes and premature aging in adult survivors of childhood cancer: St. Jude Lifetime (SJLIFE) cohort. RT = Radiation Therapy; DED = Doxorubicin Equivalent Dose; CED = ...

Heart failure risk prediction improves when gut-derived biomarkers are added to traditional models, revealing residual risk ...

An artificial intelligence (AI) algorithm may allow clinicians to predict risk of keratoconus progression with more than 90% accuracy, according to a retrospective study. Using data from the second ...

Results from the RAPID-MIRACLE trial have found, for the first time, that the widely used MIRACLE 2 risk score can be applied outside a hospital setting to accurately predict brain injury following a ...

*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 ...