Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Machine Learning Web Application for Predicting Functional Outcomes in Patients With Traumatic Spinal Cord Injury Following Inpatient Rehabilitation.

Accurately predicting functional outcomes in patients with spinal cord injury (SCI) helps clinicians...

Predicting the Climate Impact of Healthcare Facilities Using Gradient Boosting Machines.

Health care accounts for 9-10% of greenhouse gas (GHG) emissions in the United States. Strategies fo...

Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks: A Retrospective Study.

: While Enterobacteriaceae bacteria are commonly found in the healthy human gut, their colonization ...

Applying artificial intelligence to predict falls for inpatient.

OBJECTIVE: Falls are adverse events which commonly occur in hospitalized patients. Inpatient falls m...

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans.

The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) pati...

Robotic retroperitoneal lymph node dissection for paratesticular rhabdomyosarcoma in adolescents: a case series.

Robotic assisted (RA) retroperitoneal lymph node dissection (RPLND) has grown in popularity as it of...

ChatGPT and Artificial Intelligence in Hospital Level Research: Potential, Precautions, and Prospects.

Rapid advancements in artificial intelligence (AI) have revolutionized numerous sectors, including m...

Current trends and future perspectives of stroke management through integrating health care team and nanodrug delivery strategy.

Stroke is accounted as the second-most mortality and adult disability factor in worldwide, while cau...

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensi...

Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.

Fluid overload, while common in the ICU and associated with serious sequelae, is hard to predict and...

Leveraging three-tier deep learning model for environmental cleaner plants production.

The world's population is expected to exceed 9 billion people by 2050, necessitating a 70% increase ...

The 2022 Banff Meeting Lung Report.

The Lung Session of the 2022 16th Banff Foundation for Allograft Pathology Conference-held in Banff,...

India ink to 3D imaging: The legacy of Dr. Deepak "Dee" N. Pandya and his influence on generations of neuroanatomists.

Dr. Deepak "Dee" Pandya spent his career as an internal medicine physician as well as in his respect...

Artificial Intelligence and Postoperative Monitoring in Plastic Surgery.

Technological innovation has fueled an evolving landscape in plastic surgery. Recently, artificial i...

In-hospital fall prediction using machine learning algorithms and the Morse fall scale in patients with acute stroke: a nested case-control study.

BACKGROUND: Falls are one of the most common accidents in medical institutions, which can threaten t...

Triple-crises-induced food insecurity: systematic understanding and resilience building approaches in Africa.

The triple crises of the COVID-19 pandemic, conflict and climate change have severely impacted food ...

Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions.

Acute kidney injury (AKI) has a significant impact on the short-term and long-term clinical outcomes...

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