Hospital-Based Medicine

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

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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.

In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition o...

Decoding the blueprint of receptor binding by filoviruses through large-scale binding assays and machine learning.

Evidence suggests that bats are important hosts of filoviruses, yet the specific species involved re...

The Role of Artificial Intelligence in Health Care.

Artificial intelligence (AI) plays a leading role in transmuting the field of healthcare. Numerous a...

Predicting admission for fall-related injuries in older adults using artificial intelligence: A proof-of-concept study.

AIM: Pre-injury frailty has been investigated as a tool to predict outcomes of older trauma patients...

Service robots in caring for older adults: Uncovering the current conceptual and intellectual structures and future research agenda.

Service robots have supported human activity, mainly caring for older adults, for many years. Howeve...

Developing a decision support tool to predict delayed discharge from hospitals using machine learning.

BACKGROUND: The growing demand for healthcare services challenges patient flow management in health ...

Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

BACKGROUND: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - incom...

Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

Amid an aging global population, heart failure has become a leading cause of hospitalization among o...

Novel silver nanoparticle-based biomaterials for combating biofilms.

BACKGROUND: is a significant nosocomial pathogen that has developed resistance to multiple antibiot...

Prediction of mortality in intensive care unit with short-term heart rate variability: Machine learning-based analysis of the MIMIC-III database.

BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiologi...

An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia.

BACKGROUND: Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significa...

Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine.

Although the integration of artificial intelligence (AI) into medicine and healthcare holds transfor...

Hospital Artificial Intelligence/Machine Learning Adoption by Neighborhood Deprivation.

OBJECTIVE: To understand the variation in artificial intelligence/machine learning (AI/ML) adoption ...

The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.

BACKGROUND: The Adelaide Score is an artificial intelligence system that integrates objective vital ...

A machine learning model to predict neurological deterioration after mild traumatic brain injury in older adults.

OBJECTIVE: Neurological deterioration after mild traumatic brain injury (TBI) has been recognized as...

Predicting Discharge Destination From Inpatient Rehabilitation Using Machine Learning.

Predicting discharge destination for patients at inpatient rehabilitation facilities is important as...

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