Latest AI and machine learning research in nursing for healthcare professionals.
Stroke care generates vast free-text records that slow chart review and hamper data reuse. Large lan...
Healthcare professionals face an urgent need for AI literacy as artificial intelligence technologies...
Most evaluations of artificial intelligence (AI) in medicine rely on static, multiple-choice benchma...
Severe multiple sclerosis (MS) presents challenges for clinical research due to mobility constraints...
Representatives of the trauma community have voiced a need for a new approach to developing clinical...
Interest in the use of prediction models to support referrals to palliative care is surging. Few hig...
Resource Constrained Situations (RCS) at Emergency Medical Dispatch centers where there are more pat...
Real-world adoption of closed-loop insulin delivery systems (CLIDS) in type 1 diabetes remains low, ...
Early-onset sepsis (EOS), which occurs within the first 72 hours of life, can often be fatal for neo...
Aspiration causes or aggravates a variety of respiratory diseases. Subjective bedside evaluations of...
Large language models (LLMs) show promise on healthcare tasks, yet most evaluations emphasize multip...
Hospital readmissions represent a persistent challenge for healthcare systems, often stemming from i...
Clinicians currently lack reliable tools to determine, at the point of mild cognitive impairment (MC...
Large language models (LLMs) demonstrate strong performance on medical reasoning tasks, but current ...
Point-of-care ultrasonography (POCUS) enables clinicians to obtain critical diagnostic information a...
Manual inpatient screening for substance misuse is labor-intensive and inconsistently applied. Evalu...
Accurate early prediction of neurological outcomes in comatose patients after cardiac arrest is crit...
Lower respiratory tract infection (LRTI) is a leading cause of morbidity and mortality among childre...
Ongoing education in HIV care is limited for many healthcare providers working in rural and non-acad...
Accurate prediction of neurological outcome after cardiac arrest is essential for guiding intensive ...
Acute appendicitis is a common but diagnostically challenging surgical emergency in children. Existi...