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Impact of a 3-Month Recall Using High-Fidelity Simulation or Screen-Based Simulation on Learning Retention During Neonatal Resuscitation Training for Residents in Anesthesia and Intensive Care: Randomized Controlled Trial
Impact of a 3-Month Recall Using High-Fidelity Simulation or Screen-Based Simulation on Learning Retention During Neonatal Resuscitation Training for Residents in Anesthesia and Intensive Care: Randomized Controlled Trial
Background: Retention capacities depend on the learning context. The optimal interval between two learning sessions to mai...
Feasibility and Usability of an Artificial Intelligence—Powered Gamification Intervention for Enhancing Physical Activity Among College Students: Quasi-Experimental Study
Feasibility and Usability of an Artificial Intelligence—Powered Gamification Intervention for Enhancing Physical Activity Among College Students: Quasi-Experimental Study
Background: Physical activity (PA) is vital for physical and mental health, but many college students fail to meet recomme...
Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study
Effectiveness of Augmented Reality in the Teaching of Health University Students: Quasi-Experimental Study
Background: The exponential growth of new technologies has meant that the educational field has had to update itself. From...
Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study
Considering Theory-Based Gamification in the Co-Design and Development of a Virtual Reality Cognitive Remediation Intervention for Depression (bWell-D): Mixed Methods Study
Background: In collaboration with clinical domain experts, we developed a prototype of immersive virtual reality (VR) cogn...
Physical Activity and Enjoyment in Active Virtual Reality Games in Youth: Comparative Analysis of Gorilla Tag and Beat Saber
Physical Activity and Enjoyment in Active Virtual Reality Games in Youth: Comparative Analysis of Gorilla Tag and Beat Saber
Background: Virtual reality (VR) active gaming is growing in popularity but little is known about physical activity during...
Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study
Digital Ergonomics of NavegApp, a Novel Serious Game for Spatial Cognition Assessment: Content Validity and Usability Study
Background: Alzheimer disease (AD) is the leading cause of dementia worldwide. With aging populations and limited access t...
Is the Pinball Machine a Blind Spot in Serious Games Research?
Is the Pinball Machine a Blind Spot in Serious Games Research?
This article (letter to the editor) discusses an overlooked, long-established technology within serious games research: th...
Authors’ Reply: Is the Pinball Machine a Blind Spot in Serious Games Research?
Authors’ Reply: Is the Pinball Machine a Blind Spot in Serious Games Research?
We appreciate the insightful comments and reflections regarding our study on the impact of serious games on executive func...
Electrophysiological Insights in Exergaming—Electroencephalography Data Recording and Movement Artifact Detection: Systematic Review
Electrophysiological Insights in Exergaming—Electroencephalography Data Recording and Movement Artifact Detection: Systematic Review
Background: Exergames are interactive solutions that require physical activity and are commonly used in learning or rehabi...
Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Evaluation of a Telemonitoring System Using Electronic National Early Warning Scores for Patients Receiving Medical Home Care: Pilot Implementation Study
Background: Telehealth programs and wearable sensors that enable patients to monitor their vital signs have expanded due t...
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Effectiveness of Outpatient Chronic Pain Management for Middle-Aged Patients by Internet Hospitals: Retrospective Cohort Study
Background: Chronic pain is widespread and carries a heavy disease burden, and there is a lack of effective out-of-hospita...
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study
Background: Heart failure patients frequently face the possibility of rehospitalization following an initial hospital stay...
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis
Background: In this study, we evaluate the accuracy, efficiency, and cost-effectiveness of large language models in extrac...
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users
Background: Mental health chatbots have emerged as a promising tool for providing accessible and convenient support to ind...
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Using Medical Text
Background: Machine learning models can reduce the burden on doctors by converting medical records into International Clas...
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Patients’ Experienced Usability and Satisfaction With Digital Health Solutions in a Home Setting: Instrument Validation Study
Background: The field of digital health solutions (DHS) has grown tremendously over the past years. DHS include tools for ...
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Performance of Artificial Intelligence Chatbots on Ultrasound Examinations: Cross-Sectional Comparative Analysis
Background: Artificial intelligence chatbots, including those used in the field of ultrasound, are increasingly used to an...
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study
Background: Residents of elderly facilities are vulnerable to COVID-19 outbreaks. Nevertheless, timely recognition of outb...
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chine...
Type-2 diabetes biomarker discovery and risk assessment through saliva DNA methylome
Type-2 diabetes biomarker discovery and risk assessment through saliva DNA methylome
medRxiv - The Preprint Server for Health Sciences
Large language models for conducting systematic reviews: on the rise, but not yet ready for use - a scoping review
Large language models for conducting systematic reviews: on the rise, but not yet ready for use - a scoping review
medRxiv - The Preprint Server for Health Sciences
Evaluating the Readability and Reliability of Large Language Model Generated Information About Anxiety and Depression
Evaluating the Readability and Reliability of Large Language Model Generated Information About Anxiety and Depression
medRxiv - The Preprint Server for Health Sciences
Thoracic Aorta Measurement Extraction from Computed Tomography Radiology Reports Using Instruction Tuned Large Language Models
Thoracic Aorta Measurement Extraction from Computed Tomography Radiology Reports Using Instruction Tuned Large Language Models
medRxiv - The Preprint Server for Health Sciences
Enhancing Semantic Interoperability in Precision Medicine: Converting OMOP CDM to Beacon v2 in the Spanish IMPaCT- Data Project
Enhancing Semantic Interoperability in Precision Medicine: Converting OMOP CDM to Beacon v2 in the Spanish IMPaCT- Data Project
medRxiv - The Preprint Server for Health Sciences
Sex Disparities in Cognitive Impairment Research: A Scoping Review in Informatics Literature
Sex Disparities in Cognitive Impairment Research: A Scoping Review in Informatics Literature
medRxiv - The Preprint Server for Health Sciences
Artificial Intelligence Methods to Detect Heart Failure with Preserved Ejection Fraction (AIM-HFpEF) within Electronic Health Records: An equitable disease prediction model
Artificial Intelligence Methods to Detect Heart Failure with Preserved Ejection Fraction (AIM-HFpEF) within Electronic Health Records: An equitable disease prediction model
medRxiv - The Preprint Server for Health Sciences
Optic Disc and Vessel Segmentation from Fundus Image using Miniunet Architecture
Optic Disc and Vessel Segmentation from Fundus Image using Miniunet Architecture
medRxiv - The Preprint Server for Health Sciences
MentalQLM: A lightweight large language model for mental healthcare based on instruction tuning and dual LoRA modules
MentalQLM: A lightweight large language model for mental healthcare based on instruction tuning and dual LoRA modules
medRxiv - The Preprint Server for Health Sciences
Implementation and Utilization of Real-time Prescription Benefit Tools Across Three Large Academic Health Systems
Implementation and Utilization of Real-time Prescription Benefit Tools Across Three Large Academic Health Systems
medRxiv - The Preprint Server for Health Sciences
The Threat of Science-Related Populism to Global Public Health: Lessons from Iran
The Threat of Science-Related Populism to Global Public Health: Lessons from Iran
medRxiv - The Preprint Server for Health Sciences
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