Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Machine learning is increasingly used to predict post-surgical complications, but predictive perform...
BACKGROUND: Factors driving intensive care unit (ICU) transfer decisions and mortality after rapid r...
Musculoskeletal care is being reshaped by population aging, multimorbidity, frailty, osteoporosis, s...
ChatGPT-4o, an advanced Artificial Intelligence based large language model, has demonstrated utility...
Video-electrocorticogram (VEEG) recordings are the gold-standard diagnostic tool for detecting and c...
OBJECTIVE: Using a machine learning model, the authors aimed to predict self-harm events within 90 d...
OBJECTIVES: To determine whether xerogenic medication-class exposure and chair-side salivary markers...
BACKGROUND: AI is increasingly prevalent within health care; however, its implementation within the ...
BACKGROUND: Although effective, current chimeric antigen receptor T-cell (CAR-T) production methods-...
BACKGROUND: Cardiogenic shock (CS) exhibits marked clinical heterogeneity, limiting the performance ...
Pulmonary nodules are increasingly detected by thoracic imaging and low-dose computed tomography-bas...
Despite growing clinical adoption of artificial intelligence in radiology, fewer than one in five co...
One-third of the world's 70 million people with epilepsy have seizures uncontrolled by medication, a...
The 2025 Nobel Prize in Economics, awarded to Joel Mokyr, Philippe Aghion, and Peter Howitt for thei...
Background: Evidence comparing endovascular therapy and open surgery for aorto-iliac occlusive disea...
IMPORTANCE: Phenobarbital use for alcohol withdrawal syndrome is increasing, but its effectiveness a...
Periodic discharges (PDs) and rhythmic delta activity (RDA) are common EEG patterns in critically il...
INTRODUCTION: Same-day and early discharge after total hip and knee arthroplasty (THA/TKA) depend no...
BACKGROUND: Artificial intelligence (AI)/machine learning (ML) are poised to transform transfusion m...
BACKGROUND: Early identification of myasthenia gravis (MG) severe exacerbations that require intensi...
BACKGROUND: Sepsis-induced left ventricular (LV) dysfunction complicates fluid resuscitation, increa...