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Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study
Assessment of ChatGPT-5 as an Artificial Intelligence Tool for Exploring Emerging Dimensions of Clinical Simulation: A Proof-of-concept Study
Artificial intelligence (AI) and large language models (LLMs) such as ChatGPT-5 are increasingly applied in medical educat...
Dynamic Ensemble Selection for Early Detection of Deep Vein Thrombosis in Fracture Patients
Dynamic Ensemble Selection for Early Detection of Deep Vein Thrombosis in Fracture Patients
Deep vein thrombosis (DVT) in fracture patients is often clinically silent, with a high incidence of thrombosis and associ...
A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal Data
A Causal Discovery Workflow for Rare Diseases: Experts-in-the-Loop Analysis of Sparse Longitudinal Data
Causal networks provide a mechanistic understanding of clinical phenomena, allowing for personalized and explainable decis...
Evaluating AI Research Quality in Myasthenia Gravis: A Longitudinal Study Using the CLARITY Framework (2020–2024)
Evaluating AI Research Quality in Myasthenia Gravis: A Longitudinal Study Using the CLARITY Framework (2020–2024)
Artificial intelligence (AI) is increasingly applied in clinical research to improve diagnostic accuracy, prognostic model...
Reducing Work-Related Screen-Time in Healthcare Workers During Leisure Time (REDUCE SCREEN) – A Randomized Controlled Trial
Reducing Work-Related Screen-Time in Healthcare Workers During Leisure Time (REDUCE SCREEN) – A Randomized Controlled Trial
The ubiquitous availability of work-related applications on personal devices makes healthcare workers prone to working dur...
A Clinically Oriented Framework for Real-Time Heart Rate Variability Analysis: A Novel Approach To Personalized and Robust Monitoring
A Clinically Oriented Framework for Real-Time Heart Rate Variability Analysis: A Novel Approach To Personalized and Robust Monitoring
Heart rate variability (HRV) is a well-established, noninvasive measure of autonomic nervous system activity and is associ...
Deep Learning and Noninvasive Sensors for Detecting Physiological Dysregulation: A Scoping Review
Deep Learning and Noninvasive Sensors for Detecting Physiological Dysregulation: A Scoping Review
Early detection of pain, stress, or hemodynamic instability is key to preventing serious clinical events. In recent years,...
Deep Learning-based Assessment of Eyelid and Periorbital Parameters: Assisting Diagnosis and Treatment Planning in Blepharoptosis
Deep Learning-based Assessment of Eyelid and Periorbital Parameters: Assisting Diagnosis and Treatment Planning in Blepharoptosis
Blepharoptosis is a common eyelid disorder that impairs both vision and appearance, requiring accurate assessment for effe...
The Limits of Humans in Data Gathering: Documentation Error Rates in the Electronic Health Record in the Operating Room
The Limits of Humans in Data Gathering: Documentation Error Rates in the Electronic Health Record in the Operating Room
We studied the accuracy of nursing electronic health record (EHR) documentation during surgical procedures focusing on tim...
Optimizing Large Language Model Responses to Medical Queries: a Cross-sectional Study On the Effective Use of Chatgpt for Cancer-related Questions
Optimizing Large Language Model Responses to Medical Queries: a Cross-sectional Study On the Effective Use of Chatgpt for Cancer-related Questions
Large language models (LLMs) are increasingly used for medical advice; despite this, their response readability and qualit...
Generative Artificial Intelligence for Medical Image Creation in Health Professions Education: a Scoping Review
Generative Artificial Intelligence for Medical Image Creation in Health Professions Education: a Scoping Review
Generative artificial intelligence (AI) can create synthetic medical images, enabling new educational applications, but cu...
Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria 
Early Detection and Surveillance of Infectious Disease Outbreaks in Nigeria 
This study aimed to integrate Nigerian Pidgin English (NPE) into the Artificial Intelligence system EPIWATCH®, with t...
Comorbidity Classification from Clinical Free-Text using Large Language Models: Application to Sleep Disorder Patients
Comorbidity Classification from Clinical Free-Text using Large Language Models: Application to Sleep Disorder Patients
Patients presenting to neurology clinics commonly have a complex history of comorbidities and partially documented health ...
Bridging Neural Topology and Affective Computing: Graph Attention for EEG Emotion Recognition
Bridging Neural Topology and Affective Computing: Graph Attention for EEG Emotion Recognition
Electroencephalography (EEG) offers high temporal resolution and strong physiological validity for emotion recognition. Ho...
Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance
Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance
Methods This narrative review drew on targeted searches of PubMed/MEDLINE and arXiv (January 2020–October 2025), ver...
A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits
A Meta-Analysis of the Diagnostic Test Accuracy of Artificial Intelligence for Predicting Emergency Department Revisits
The revisit of the emergency department (ED) is a key indicator of emergency care quality. Various strategies have been pr...
From Conflict to Care - Telemedicine Utilization During Wartime: A Retrospective Cohort Study
From Conflict to Care - Telemedicine Utilization During Wartime: A Retrospective Cohort Study
Armed conflict poses severe challenges to healthcare delivery, requiring rapid adaptation. This study evaluates how teleme...
Infection Spread and Outbreaks Support with Spatial-Temporal Visualization Tool for Hospitals
Infection Spread and Outbreaks Support with Spatial-Temporal Visualization Tool for Hospitals
Hospital-acquired infections (HAIs), especially those caused by multidrug-resistant bacteria, represent a critical challen...
Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery
Enhancing Surgical Precision: A Systematic Review of Wearable Medical Devices for Assisted Surgery
The integration of wearable medical devices into surgical practice has transformed the field, enabling enhanced precision,...
Narrative Review of Electronic Health Record Systems in Anesthesia: Benefits, Risks, and Medico-Legal Considerations in the United States of America
Narrative Review of Electronic Health Record Systems in Anesthesia: Benefits, Risks, and Medico-Legal Considerations in the United States of America
Electronic health records (EHRs) have transformed healthcare delivery and documentation by accurately capturing routine ca...
The Impact of Virtual-, Augmented- and Mixed Reality during Preoperative Informed Consent: A Systematic Review of the Literature
The Impact of Virtual-, Augmented- and Mixed Reality during Preoperative Informed Consent: A Systematic Review of the Literature
This systematic literature review aimed to examine the effects of Virtual Reality (VR), Augmented Reality (AR), and Mixed ...
Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks
Epilepsy Prediction via Time-Frequency Features and Multi-Scale Hybrid Neural Networks
The prediction of epileptic seizures heavily depends on the precise embedding and classification of complex, multi-dimensi...
A Simulation-Based Approach for Inpatient Capacity Management at a Hospital Dedicated for Cancer Treatment
A Simulation-Based Approach for Inpatient Capacity Management at a Hospital Dedicated for Cancer Treatment
This paper describes the development and application of an analytical solution to assist with inpatient flow and capacity ...
Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis
Evaluating the Performance of ChatGPT on Board-Style Examination Questions in Ophthalmology: A Meta-Analysis
To review empirical research on ChatGPT’s accuracy in answering ophthalmology board-style examination questions up t...
Using Performance Frontiers To Evaluate Non-OR Anesthesia (NORA) Efficiency
Using Performance Frontiers To Evaluate Non-OR Anesthesia (NORA) Efficiency
In high-cost, high-revenue operating room (OR) suites, dashboards displaying key performance indicators are commonplace to...
Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models
Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electr...
Why Clinical Trials Will Fail to Ensure Safe AI
Why Clinical Trials Will Fail to Ensure Safe AI
Recent reports have raised concerns about emergent behaviors in next-generation artificial intelligence (AI) models. These...
Quantum Oncology: The Applications of Quantum Computing in Cancer Research
Quantum Oncology: The Applications of Quantum Computing in Cancer Research
A global technological race is underway to develop increasingly powerful and precise quantum computers. As a transformativ...
Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark
Dissecting HealthBench: Disease Spectrum, Clinical Diversity, and Data Insights from Multi-Turn Clinical AI Evaluation Benchmark
HealthBench is an open-source, large-scale benchmark consisting of 5,000 multi-turn clinical conversations evaluated again...
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Is Web-Based Diabetes Training Effective or Ineffective on the Quality of Life of Individuals with Type 2 Diabetes Mellitus?: A Systematic Review
Diabetes mellitus is called as the “pandemic of the era” due to its rising prevalence. Since it is a disease t...
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