Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: The Medical College Admission Test (MCAT) has been central to medical school admissions ...
BACKGROUND: A patient undergoes multiple examinations in each hospital stay, where each provides dif...
BACKGROUND: Hip and knee replacement are common procedures with an increasing focus on same-day surg...
BACKGROUND: Artificial intelligence (AI) is reshaping clinical decision support systems (CDSSs). In ...
Precision medicine terminology is increasingly used across clinical, laboratory, payer, regulatory, ...
BACKGROUND: Artificial intelligence (AI) applications in managed care pharmacy depend on semanticall...
BACKGROUND: Artificial intelligence (AI) methods are increasingly used to strengthen policy evaluati...
AIM: To compare the multidimensional performance of discharge instructions generated by generative A...
BACKGROUND: Traditional rehabilitation medicine, primarily dependent on qualitative clinical assessm...
BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patie...
BackgroundWe evaluated whether summaries and large language models (LLMs) preserve predictive perfor...
AIM: Heart failure (HF) poses a growing public health burden, yet conventional risk stratification m...
BACKGROUND: The management of severe asthma with biologics has become more complex involving multidi...
Artificial intelligence (AI) has the potential to support personalized, multidisciplinary, data-driv...
BACKGROUND: Diabetes has reached epidemic proportions in Pakistan. This study applied machine learni...
Early sepsis detection is essential for improving outcomes and reducing costs, but traditional rule-...
BACKGROUND AND AIMS: ECMO is used to deliver cardiopulmonary support in extreme failure where standa...
OBJECTIVE: To examine Inpatient Rehabilitation Facilities, market, and regional characteristics asso...
OBJECTIVE: To evaluate the utility, rationality, and safety of glaucoma surgery recommendations gene...
Predictive modelling in healthcare has advanced rapidly, yet social care systems, despite their cent...
Artificial intelligence (AI) is entering clinical practice through decision-support systems, predict...