Identifying and Reporting Dependent Adult abuse

Assessing the Role of Artificial Intelligence in Caries Detection and Clinical Decision-Making: A Scoping Review.

BACKGROUND AND OBJECTIVE: Artificial Intelligence (AI) support is expected to increase accuracy and improve treatment plans in dentistry. Nevertheless, AI's ability to promote better oral health care is underexplored. This scoping review explores the influence of AI in supporting dental professionals with caries detection and decision-making regarding interventions. METHODS: Primary articles index...

Psychopathology profiles and longitudinal correlates of nonsuicidal self-injury in youth: a machine-learning approach.

Nonsuicidal self-injury (NSSI) in youth is clinically heterogeneous. We aimed to identify distinct psychopathology-based profiles among children and adolescents reporting NSSI and their longitudinal correlates. Participants (N = 1 345) were drawn from the Brazilian High-Risk Cohort Study, which conducted extensive phenotypic assessments at baseline (ages 6-14 years) and across two follow-up waves ...

Evaluation of trajectory analysis for disease risk assessment: a scoping review.

OBJECTIVES: Increasingly, structured longitudinal electronic health records (EHRs) are being harnessed to predict risk of having present but as yet un...

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

INTRODUCTION: Early identification of autism spectrum disorder (ASD) is critical for improving long-term outcomes, and speech offers a noninvasive sou...

Artificial Intelligence-Based Medical Devices for Diabetic Retinopathy Screening in the European Union.

BACKGROUND: Diabetic retinopathy (DR) remains a leading cause of preventable blindness, yet screening programs across Europe face persistent workforce...

Improved prediction of heavy metal concentration in typical agricultural soil in Hainan by Machine Learning method.

As machine learning (ML) techniques continue to evolve, researchers are becoming more dedicated to applying these methods to model and predict heavy m...

Characterization of Models for Identifying Physical and Cognitive Frailty in Older Adults With Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contr...

A systematic review of the scope and impact of rural primary healthcare innovations using digital health technology.

OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...

Healthcare Professionals' Perceptions of Artificial Intelligence in Healthcare-A Systematic Review of Qualitative Studies.

AIM: To identify the experiences and perceptions of healthcare professionals on artificial intelligence in healthcare. DESIGN: Systematic literature r...

Integrating artificial intelligence (AI) into colorectal cancer reporting.

Artificial intelligence (AI) and deep learning (DL) are transforming cancer research and clinical care, with histopathology playing a central role in ...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized con...

The OnSPARK LTC Data Platform: Leveraging interRAI to Build a Learning Health System for Long-Term Care.

Long-Term Care (LTC) in Canada faces persistent challenges in quality, staffing, and accountability. InterRAI assessment instruments, used nationally ...

Improving medication error classification using a reasoning large language model.

OBJECTIVES: To assess the performance of a reasoning large language model (LLM) in identifying medication errors in medical incident reports. MATERIAL...

A systematic review of AI for predicting glaucoma progression: challenges and recommendations towards clinical implementation.

Glaucoma is the leading cause of irreversible blindness worldwide with heterogeneous progression rates. Artificial Intelligence (AI) may enable accura...

Enhancing kcat prediction through residue-aware attention mechanism and pre-trained representations.

The turnover number (kcat) is a key parameter in enzyme kinetics that quantifies catalytic efficiency and underpins mechanistic understanding of enzym...

Prospective evaluation of artificial intelligence (AI) in lumbar spine magnetic resonance imaging (MRI) workflow: from deep learning (DL)-enhanced accelerated acquisition to simultaneous vision-language model (VLM)-based automated report generation.

OBJECTIVES: To evaluate the diagnostic interchangeability of DL-enhanced accelerated lumbar (L)-spine magnetic resonance imaging (MRI) with convention...

Structured reporting in knee MRI.

Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiology, promising enhanced clarity and consistency in e...

Autonomous conversational agents for loneliness, social isolation, depression, and anxiety in older people without cognitive impairment: Systematic review and meta-analysis.

Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversationa...

Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation.

AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts based on Artificial Intelligence (DRAAI), and to ...

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often mor...