Information Technology

Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model.

BACKGROUND: Machine learning prediction models require prospective validation to ensure implementation fidelity and feasibility. Our primary objective was to prospectively validate a previously reported postoperative mortality prediction model in inpatients undergoing surgery. Our secondary objective was to evaluate feasibility of a pilot clinical decision support tool. METHODS: We prospectively v...

DynaGraph: interpretable dynamic graph learning for temporal electronic health records.

Electronic health records (EHRs) capture evolving physiological processes, yet most machine learning models impose static or sequential assumptions that flatten their temporal and relational complexity. We introduce DynaGraph, a dynamic and interpretable graph learning framework that constructs evolving spatio-temporal graphs from multivariate clinical time-series. Unlike previous methods, DynaGra...

To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential...

A diagnosis tool for early detection and classification of heart disease in individuals using transformer mechanisms.

BACKGROUND: Heart disease remains a leading cause of mortality, making accurate and efficient prediction tools essential for the general population. I...

Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study.

BACKGROUND: Artificial intelligence (AI) offers potential solutions to address the challenges faced by a strained mental health care system, such as i...

The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis.

BACKGROUND: Advances in artificial intelligence (AI) have revolutionized digital wellness by providing innovative solutions for health, social connect...

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools a...

Inferring high-fat dietary patterns from electronic health record data using machine learning.

OBJECTIVES: Electronic health records (EHRs) rarely capture dietary detail, limiting diet-disease research. We aimed to develop machine learning (ML) ...

AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.

This review examines the emerging integration of nanosensor networks with modern information and communication technologies to address critical needs ...

AI-powered detection of dental anatomy: a YOLO-based approach.

OBJECTIVE: This study aims to develop an AI-powered detection system for identifying dental anatomy-specifically tooth numbers and names-using YOLO (Y...

Using the Electronic Health Record and Artificial Intelligence to Guide Clinical Decision-Making.

Electronic medical records (EMR) have transformed how clinical information is documented, shared, and utilized over the past 60 years, and the additio...

Initiation of a global consortium to study the progression of age-related macular degeneration: RIMR AMD consortium report # 1.

PURPOSE: To describe the design and organizational structure of a global collaborative consortium aimed at aggregating longitudinal multimodal imaging...

Cardiac Rehabilitation for Coronary Artery Disease: Gaps, Digital Models, and the Future of Personalized Prevention.

Cardiovascular disease is the leading cause of global morbidity and mortality, with coronary artery disease representing the primary driver of prematu...

Advances in the Application of Digital Health Technologies in the Management of Patients With Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is a chronic disorder that requires long-term follow-up and individualized management. With the rapid development of ...

Creation of Radiology Teaching Content with STELLA-A STandardized Electronic Learning Library and Application Platform.

PURPOSE: Collections of interesting cases are at the heart of radiology education, but efficient saving and sharing of cases has always been a challen...

Evaluating Generative Artificial Intelligence as an Educational Tool for Radiology Resident Report Drafting.

OBJECTIVE: Radiology residents require timely, personalized feedback to develop accurate image analysis and reporting skills. Increasing clinical work...

Pediatric asthma management via integration of a remote spirometry device into an EHR-based artificial intelligence-powered clinical decision support system: A feasibility pragmatic clinical trial.

BACKGROUND: Asthma is the most common chronic disease in children. Suboptimal asthma control is prevalent and causes significant health care costs. El...

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, including post-traumatic epilepsy (PTE), a debilitating co...

Innovation, Technology, and Telemedicine in Critical Care.

Critical care medicine is undergoing a major transformation driven by rapid technological innovation, digital integration, and telemedicine. This arti...

ProSocial Artificial Intelligence in Oral Health: A Paradigm Shift.

This article examines the transformative potential of ProSocial Artificial Intelligence (AI) in revolutionizing oral health care. ProSocial AI emphasi...