Hospital-Based Medicine

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

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Exploring correlates of high psychiatric inpatient utilization in Switzerland: a descriptive and machine learning analysis.

BACKGROUND: This study investigated socio-demographic, psychiatric, and psychological characteristic...

Dec 2024 39716097
Intelligent imaging technology applications in multidisciplinary hospitals.

With the rapid development of artificial intelligence technology, its applications in medical imagin...

Dec 2024 39690448
Construction and validation of a readmission risk prediction model for elderly patients with coronary heart disease.

BACKGROUND: To investigate the risk factors for readmission of elderly patients with coronary artery...

Dec 2024 39744210
Artificial intelligence in triage of COVID-19 patients.

In 2019, COVID-19 began one of the greatest public health challenges in history, reaching pandemic s...

Dec 2024 39744742
Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study.

BACKGROUND: Geriatric comanagement has been shown to improve outcomes of older surgical inpatients. ...

Dec 2024 39696815
Spontaneous Hepatic Rupture Complicating Preeclampsia and HELLP Syndrome: A Case Report.

Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...

Dec 2024 39720327
Large Language Models Applied to Health Care Tasks May Improve Clinical Efficiency, Value of Care Rendered, Research, and Medical Education.

Large language models (LLMs) are generative artificial intelligence models that create content on th...

Dec 2024 39694303
Utility of an Echocardiographic Machine Learning Model to Predict Outcomes in Intensive Cardiac Care Unit Patients.

INTRODUCTION: The risk stratification at admission to the intensive cardiac care unit (ICCU) is cruc...

Dec 2024 39681171
Predicting Early Hospital Discharge Following Revision Total Hip Arthroplasty: An Analysis of a Large National Database Using Machine Learning.

BACKGROUND: Revision total hip arthroplasty (rTHA) was recently removed from the Medicare inpatient-...

Dec 2024 39662849
Limbic/paralimbic connection weakening in preschool autism-spectrum disorder based on diffusion basis spectrum imaging.

This study aims to investigate the value of basal ganglia and limbic/paralimbic networks alteration ...

Dec 2024 39654030
A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-re...

Dec 2024 39674007
Using Machine Learning to Fight Child Acute Malnutrition and Predict Weight Gain During Outpatient Treatment with a Simplified Combined Protocol.

BACKGROUND/OBJECTIVES: Child acute malnutrition is a global public health problem, affecting 45 mill...

Dec 2024 39683605
Early prediction of intensive care unit admission in emergency department patients using machine learning.

BACKGROUND: The timely identification and transfer of critically ill patients from the emergency dep...

Dec 2024 39643547
Prediction of prolonged mechanical ventilation in the intensive care unit via machine learning: a COVID-19 perspective.

Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...

Dec 2024 39627490
PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS.

Purpose: This study aims to establish and validate machine learning-based models to predict death in...

Dec 2024 39637363
Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study.

OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in th...

Dec 2024 39631660
Ambiguous animals, ambivalent carers and arbitrary care collectives: Re-theorizing resistance to social robots in healthcare.

Many countries are under pressure because of lack of healthcare staff to provide care to an increasi...

Dec 2024 39657516
How to identify patient perception of AI voice robots in the follow-up scenario? A multimodal identity perception method based on deep learning.

OBJECTIVES: Post-discharge follow-up stands as a critical component of post-diagnosis management, an...

Dec 2024 39631488
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