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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...
Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data
Interpretable Feature Selection and Hybrid Deep Learning Models for Depressive Symptoms Prediction from Wearable Device Data
Early detection and prediction of Depressive Symptoms is essential for improving mental health outcomes. This study propos...
Inkjet-Printed Graphene Electrodes on a Plastic Armband for Mobile Electrocardiography
Inkjet-Printed Graphene Electrodes on a Plastic Armband for Mobile Electrocardiography
Drop-on-demand inkjet printing has shown great potential for wearable health monitoring applications because of its abilit...
Toward Effective Technology Support in DCTs: Insights from the Trials@Home Proof-of-Concept Trial RADIAL
Toward Effective Technology Support in DCTs: Insights from the Trials@Home Proof-of-Concept Trial RADIAL
Decentralized clinical trials (DCTs) increasingly rely on digital tools such as wearable devices, mobile applications, and...
Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer
Machine Learning Models for Individualized Osteoradionecrosis Risk Prediction in Head and Neck Cancer
To develop and validate predictive models for osteoradionecrosis (ORN) after head and neck radiation therapy (RT) using ti...
Machine Learning-Driven Prediction of Intensive Care Units Mortality and Length of Stay: A 11-Year Retrospective Study in Hong Kong Public Hospitals
Machine Learning-Driven Prediction of Intensive Care Units Mortality and Length of Stay: A 11-Year Retrospective Study in Hong Kong Public Hospitals
This study aims to develop a machine learning (ML)-based pipeline to predict intensive care unit (ICU) mortality and lengt...
The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS
The Dysfunctional Self-Focus Attributes Scale-7 (DSAS-7): A Machine Learning-based Development of a Shortened Version of the DSAS
The Dysfunctional Self-focus Attributes Scale (DSAS) is a 15-item tool designed to measure dysfunctional self-focus. Howev...
The Impact of Healthcare Professionals’ Characteristics on the Evaluation of Clinical Decision Support Systems: Insights from a Cross-Country Usability and Technology Acceptance Study of the iCARE Tool
The Impact of Healthcare Professionals’ Characteristics on the Evaluation of Clinical Decision Support Systems: Insights from a Cross-Country Usability and Technology Acceptance Study of the iCARE Tool
The development of clinical decision support systems (CDSS) is a complex process requiring early healthcare professional (...
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...
Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks
Understanding Clinician Perceptions of GenAI: A Mixed Methods Analysis of Clinical Documentation Tasks
This mixed-methods study evaluated clinicians’ user experience (UX) with Generative AI (GenAI) in Electronic Health ...
Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints
Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints
Timely access to radiotherapy appointment information remains challenging in hospitals—including many in Japan—...
Integrating mHealth Innovations into Decentralized Oncology Trials
Integrating mHealth Innovations into Decentralized Oncology Trials
The integration of mobile health (mHealth) technologies into decentralized clinical trials (DCTs) may represent a paradigm...
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