AIMC Topic: Transitional Care

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Influences of Magnetic Resonance Imaging Superresolution Algorithm-Based Transition Care on Prognosis of Children with Severe Viral Encephalitis.

Computational and mathematical methods in medicine Jun 17, 2022
OBJECTIVE: Its goal was to see how convolutional neural network- (CNN-) based superresolution (SR) technology magnetic resonance imaging- (MRI-) assisted transition care (TC) affected the prognosis of children with severe viral encephalitis (SVE) and...
Humans Quality of Life Deep Learning Algorithms Prognosis Transitional Care Encephalitis, Viral Image Processing, Computer-Assisted Magnetic Resonance Imaging Child
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Artificial neural network-based prediction of prolonged length of stay and need for post-acute care in acute coronary syndrome patients undergoing percutaneous coronary intervention.

European journal of clinical investigation Nov 29, 2020
BACKGROUND: Prolonged length of stay (LOS) and post-acute care after percutaneous coronary intervention (PCI) is common and costly. Risk models for predicting prolonged LOS and post-acute care have limited accuracy. Our goal was to develop and valida...
Hospitals, Rehabilitation Subacute Care Hospices Nursing Homes Angina, Unstable Transitional Care Skilled Nursing Facilities Patient Discharge Acute Coronary Syndrome Percutaneous Coronary Intervention Humans Neural Networks, Computer Risk Assessment Length of Stay Non-ST Elevated Myocardial Infarction Male ST Elevation Myocardial Infarction Female Middle Aged Aged
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New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance.

Scientific reports May 25, 2025
Transitional care may play a vital role in the sustainability of Europe's future healthcare system, offering solutions for relocating patient care from hospital to home, therefore addressing the growing demand for medical care as the population is ag...
Europe Telemedicine Quality of Life Hospitals Home Care Services Transitional Care Humans Artificial Intelligence Patient Readmission Internet of Things
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Natural Language Processing to Assess Documentation of Features of Critical Illness in Discharge Documents of Acute Respiratory Distress Syndrome Survivors.

Annals of the American Thoracic Society Sep 1, 2016
RATIONALE: Transitions to outpatient care are crucial after critical illness, but the documentation practices in discharge documents after critical illness are unknown.
Length of Stay Survivors United States Transitional Care Respiration, Artificial Female Critical Illness Aged Humans Male Medical Informatics Intensive Care Units Natural Language Processing Documentation Respiratory Distress Syndrome Patient Discharge Regression Analysis Middle Aged Multivariate Analysis
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