Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant trai...
Artificial intelligence is paving the way in contemporary medical advances, with the potential to re...
After the introduction of same-day discharge (SDD) pathways for various surgeries, these pathways h...
OBJECTIVE: This study aims to develop high-performing Machine Learning and Deep Learning models in p...
The development of virtual care options, including virtual hospital platforms, is rapidly changing t...
Mortality rate is considered as the most important outcome measure for assessing the severity of bur...
Accurately predicting functional outcomes in patients with spinal cord injury (SCI) helps clinicians...
Health care accounts for 9-10% of greenhouse gas (GHG) emissions in the United States. Strategies fo...
: While Enterobacteriaceae bacteria are commonly found in the healthy human gut, their colonization ...
OBJECTIVE: Falls are adverse events which commonly occur in hospitalized patients. Inpatient falls m...
Colpectomy entails the surgical removal of the vaginal epithelium. It may be performed in trans-mas...
The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) pati...
Robotic assisted (RA) retroperitoneal lymph node dissection (RPLND) has grown in popularity as it of...
Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including m...
Stroke is accounted as the second-most mortality and adult disability factor in worldwide, while cau...
Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensi...
Fluid overload, while common in the ICU and associated with serious sequelae, is hard to predict and...
PURPOSE: For successful prevention and intervention, it is important to unravel the complex constell...
The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff,...
Dr. Deepak "Dee" Pandya spent his career as an internal medicine physician as well as in his respect...
INTRODUCTION: Accurately predicting patient outcomes is crucial for improving healthcare delivery, b...