Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Accurate inpatient census forecasting is important for cell therapy and blood and marrow transplantation (BMT) programs because bed capacity, staffing, and coordination of transplant care depend on anticipating occupancy several weeks in advance. Forecasting BMT census is challenging because the service combines planned admissions, including scheduled transplants, with less predictable...
Fine-needle aspiration biopsy (FNAB) remains the cornerstone of preoperative evaluation of thyroid nodules and represents one of the most enduring and successful applications of cytopathology in clinical medicine. Over the past decade, however, the role of thyroid FNAB has evolved considerably. This transformation reflects advances in ultrasound-based risk stratification systems; refinements in cy...
This study aimed to develop and validate an interpretable machine learning model for early prediction of in-hospital mortality in critically ill patie...
BACKGROUND: Although hypoalbuminemia at ICU admission is associated with increased in-hospital mortality in septic patients, the prognostic value of s...
Access to high-quality cancer care remains a major challenge across Latin America, particularly for patients with gastrointestinal (GI) malignancies. ...
BACKGROUND: Postoperative pulmonary infection (PPI) is a common and serious complication in older adults undergoing hip fracture surgery, leading to p...
BACKGROUND: Discharge planning plays a critical role in managing patient hospital length of stay. We report on the implementation of a program in a la...
International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...
PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery. Because LLMs are not trained in specific subspec...
BACKGROUND: Older adults requiring emergency surgery for acute tibial fractures are vulnerable to hospital-associated complications (HACs), but admiss...
BACKGROUND: Large language models (LLMs) and large reasoning models (LRMs) have shown excellent performance on medical benchmarks, although evaluation...
BACKGROUND: Effective risk stratification in sepsis remains a critical clinical challenge. Serum lactate is a cornerstone biomarker of metabolic dysfu...
U.S. colleges and schools of pharmacy face mounting challenges in sustaining robust research programs, supporting early-stage investigators, modernizi...
Emergency medical services (EMS) professionals make high-stakes decisions in austere environments. To support out-of-hospital emergency care, we devel...
BACKGROUND: Cerebral Palsy (CP) is the main cause of motor disabilities in childhood, necessitating innovative approaches to rehabilitation and assist...
Early ambulation following cardiovascular and thoracic surgery (CVTS) is associated with improved postoperative outcomes. However, barriers such as pa...
This article critically examines the potential impacts of artificial intelligence (AI) on prices, total spending, and the rate of spending growth in t...
BACKGROUND: Healthcare simulation training faces significant barriers due to the "clinician-developer gap," where educators lack programming expertise...
BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being used to manage chronic illnesses; however, their definitiv...
BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, partly because harmonized echocardiographic phenoty...