Information Technology

Graph attention network with comorbidity connectivity embedding for post-traumatic epilepsy risk prediction using sparse time-series electronic health records.

BACKGROUND: Traumatic brain injury (TBI) is a major risk factor for neurological disorders, includin...

Innovation, Technology, and Telemedicine in Critical Care.

Critical care medicine is undergoing a major transformation driven by rapid technological innovation...

ProSocial Artificial Intelligence in Oral Health: A Paradigm Shift.

This article examines the transformative potential of ProSocial Artificial Intelligence (AI) in revo...

Increased Utilization of Telemedical Emergency and Nonurgent Care Following Deployment of Virtual Triage and Care Referral in Australia.

OBJECTIVE: To evaluate whether an artificial intelligence-based national virtual triage and care ref...

Enhancing deep learning telemedicine for retinopathy of prematurity: current evidence and opportunities for improvement.

Clinical Decision Support Systems for cancer symptom management: A scoping review.

BACKGROUND: Effective cancer symptom management significantly impacts patient outcomes and quality o...

Time series dataset for network security situational awareness.

In the field of network security situational awareness (NSSA), it is challenging to find a usable da...

Industry 6.0 capabilities in orthopaedics: Towards hyper-personalized and autonomous surgical care.

BACKGROUND: Industry 6.0 represents the next frontier in technological evolution, integrating artifi...

Assessing the Readiness of Health Care Organizations for Safe AI Integration: Perspectives From Quality and Safety Leaders.

BACKGROUND: Artificial intelligence (AI) technologies hold great promise for improving patient outco...

Developing a Statistical Modeling-Based Machine Learning Approach for Capturing Drug Dosing Using a Proton Pump Inhibitor Case.

OBJECTIVE: To develop a statistical model to capture medication dosing for proton pump inhibitors (P...

[Digital, DICOM, diagnostics-unity over chaos : Data communication in digital pathology].

Digitization of histological specimens enables new computer-assisted analysis and artificial intelli...

Digital health integration in chronic kidney disease.

Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dy...

Healthbots for conducting clinical screening and remote monitoring with patient mood assessment: A scoping review.

BACKGROUND: Patient mood assessment is key in managing chronic diseases but is often overlooked. Alt...

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-P...

How Technology Can Increase Access to Sleep Health Care.

Sleep disorders, like insomnia and sleep apnea, affect millions globally and negatively impact healt...

Mortality prediction among older people in primary care: a comparison of predictive performance of the frailty index with regression-based and machine learning models.

INTRODUCTION: The frailty index is widely used to identify vulnerable individuals at risk of adverse...

AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation.

OBJECTIVE: Current systematic literature reviews largely rely on manual screening of articles retrie...

Building a Quantitative Telemedicine Platform for Myasthenia Gravis: Augmenting the Physical Examination.

Myasthenia gravis (MG), a fluctuating autoimmune neuromuscular disease, presents unique challenges f...

Cybersecurity for Interventional Radiologists: A Clinical Imperative for Protecting Patient Data and Imaging Systems.

Cybersecurity threats to medical imaging systems and workflows are no longer confined to information...

From sample to clinical insight: a review of exome sequencing in disease diagnostics.

Exome sequencing (ES) has transformed genomic research and clinical diagnostics by enabling precise ...

The Development and Validation of Multivariable Electronic Health Record-Based Models to Predict Diabetic Ketoacidosis-Related Hospitalizations for Adults with Type 1 Diabetes.

AIM: To develop and validate models that use electronic health record (EHR) data to predict diabetic...