Taiwan

Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Clinical interventions in aging 38883992

BACKGROUND: The global aging population presents a significant challenge, with older adults experiencing declining physical and cognitive abilities and increased vulnerability to chronic diseases and adverse health outcomes. This study aims to develo...

Aged Aged, 80 and over Area Under Curve Deep Learning Emergency Service, Hospital Female Geriatric Assessment Hospitalization Humans Intensive Care Units Male Organ Dysfunction Scores Prognosis Retrospective Studies Risk Assessment ROC Curve Taiwan

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Forecasting fish mortality from water and air quality data using deep learning models.

Journal of environmental quality 38808585

The high rate of aquatic mortality incidents recorded in Taiwan and worldwide is creating an urgent demand for more accurate fish mortality prediction. Present study innovatively integrated air and water quality data to measure water quality degradat...

Animals Bayes Theorem Deep Learning Environmental Monitoring Fishes Forecasting Taiwan Water Quality

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A case study of lean digital transformation through robotic process automation in healthcare.

Scientific reports 38918486

Under Taiwan's National Health Insurance (NHI) system, it's crucial for all healthcare providers to accurately submit medical expense claims to the National Health Insurance Administration (NHIA) to avoid incorrect deductions. With changes in healthc...

Automation Delivery of Health Care Efficiency, Organizational Humans National Health Programs Robotics Taiwan

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Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models.

The American journal of emergency medicine 38908339

OBJECTIVES: Emergency department (ED) overcrowding presents a global challenge that inhibits prompt care for critically ill patients. Traditional 5-level triage system that heavily rely on the judgment of the triage staff could fail to detect subtle ...

Adult Aged Critical Illness Emergency Service, Hospital Female Humans Machine Learning Male Middle Aged Neural Networks, Computer Retrospective Studies Risk Assessment ROC Curve Severity of Illness Index Taiwan Triage

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Examining customer intentions to purchase intelligent robotic products and services in Taiwan using the theory of planned behaviour.

BMC psychology 38879510

BACKGROUND: The literature for assessing online and offline shopping behaviours that are linked to intelligent robotic goods and services is inadequate. In this study, we applied the Theory of Planned Behaviour model for guidance regarding how consum...

Adult Consumer Behavior Female Humans Intention Male Middle Aged Psychological Theory Robotics Surveys and Questionnaires Taiwan Theory of Planned Behavior Young Adult

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Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning.

Scientific reports 38849453

Renal recovery following dialysis-requiring acute kidney injury (AKI-D) is a vital clinical outcome in critical care, yet it remains an understudied area. This retrospective cohort study, conducted in a medical center in Taiwan from 2015 to 2020, enr...

Acute Kidney Injury Aged Critical Care Female Humans Intensive Care Units Machine Learning Male Middle Aged Renal Dialysis Retrospective Studies ROC Curve Taiwan

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Disparities in medical recommendations from AI-based chatbots across different countries/regions.

Scientific reports 39048640

This study explores disparities and opportunities in healthcare information provided by AI chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer, analyzing responses across four regions (Indonesia, Nigeria, Taiwan, USA) a...

Artificial Intelligence Endometrial Neoplasms Female Humans Nigeria Taiwan United States

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Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.

BMC medical informatics and decision making 39039467

OBJECTIVE: To develop and validate machine learning models for predicting coronary artery disease (CAD) within a Taiwanese cohort, with an emphasis on identifying significant predictors and comparing the performance of various models.

Adult Age Factors Aged Alcohol Drinking Biological Specimen Banks Biomarkers Coronary Artery Disease Early Diagnosis Female Heart Disease Risk Factors Humans Lipids Machine Learning Male Middle Aged Retrospective Studies Risk Assessment Sex Factors Smoking Taiwan

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Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism.

Scientific reports 38987345

Wild bird repulsion is critical in agriculture because it helps avoid agricultural food losses and mitigates the risk of avian influenza. Wild birds transmit avian influenza in poultry farms and thus cause large economic losses. In this study, we dev...

Animals Animals, Wild Birds Deep Learning Ducks Influenza in Birds Lasers Taiwan

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Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study.

Journal of imaging informatics in medicine 38980623

Malposition of a nasogastric tube (NGT) can lead to severe complications. We aimed to develop a computer-aided detection (CAD) system to localize NGTs and detect NGT malposition on portable chest X-rays (CXRs). A total of 7378 portable CXRs were retr...

Critical Care Deep Learning Emergency Service, Hospital Female Humans Intubation, Gastrointestinal Male Radiography, Thoracic Retrospective Studies Supine Position Taiwan

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Forecasting fish mortality from water and air quality data using deep learning models.

A case study of lean digital transformation through robotic process automation in healthcare.

Patient stratification based on the risk of severe illness in emergency departments through collaborative machine learning models.

Examining customer intentions to purchase intelligent robotic products and services in Taiwan using the theory of planned behaviour.

Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning.

Disparities in medical recommendations from AI-based chatbots across different countries/regions.

Using machine learning-based algorithms to construct cardiovascular risk prediction models for Taiwanese adults based on traditional and novel risk factors.

Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism.

Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study.

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