Patient safety / Risk Management

Artificial Intelligence-Based Simulation to Improve Code Status Discussions Among Internal Medicine Residents: A Pilot Randomized Trial.

BACKGROUND: Code status discussions (CSDs) are essential in clinical practice yet training modalities are often resource-intensive and not widely available. AIM: To evaluate whether artificial intelligence (AI)-driven simulation can enhance CSD training. SETTING: A public safety-net hospital affiliated with an academic medical center. PARTICIPANTS: Postgraduate year (PGY)-2 and PGY-3 internal medi...

Status, challenges, and future directions of machine learning in the management of epilepsy: a systematic review and meta-analysis.

BACKGROUND: Despite advances in epilepsy treatment options, selecting the appropriate therapy for an individual with epilepsy is a process of trial and error. Machine learning holds the potential to support clinical decision making. We aimed to provide an overview of the role of machine learning in epilepsy management and discuss future directions. METHODS: In this systematic review and meta-analy...

Complementary Visual Assessment: Validation of a High-Precision Eye-Tracking Kinetic Perimetry in the Evaluation of Visual Field Deficits in Hemianopia.

Vision is a multicomponential system where different aspects of visual processing rely on distinct neural circuits. This fundamental characteristic ha...

Combined predictive value of TyG index and PLR for mental health in Chinese adults: A machine learning approach.

OBJECTIVE: To investigate the independent and combined associations of the triglyceride-glucose (TyG) index and platelet-to-lymphocyte ratio (PLR) wit...

Current evidence of generative artificial intelligence specifically developed for dental and maxillofacial radiology: a systematic review.

OBJECTIVES: This systematic review aimed to investigate the current development and application landscape of generative artificial intelligence (Gen-A...

Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cancer-related symptoms including pain, fatigue, depression, anxiety, and malnutrition drive poor quality of life and adverse clinical o...

Trusting the Algorithm or Trusting the Nurse? Critical Care Nurses' Experiences of Automation Bias and Professional Autonomy in AI-Assisted Early Warning.

BACKGROUND: Artificial intelligence-assisted early warning systems (AI-EWS) are increasingly integrated into critical care, yet little is known about ...

Ethics and Professionalism in Artificial Intelligence and Medical Practice: A Position Paper From the American College of Physicians.

Artificial intelligence (AI) in health care is being rapidly adopted in perhaps one of the most rapid implementations of technology in medicine to dat...

A strategic pathway for the ethical development of AI tools in dementia care.

Artificial intelligence (AI) is rapidly entering dementia clinical practice, offering opportunities across the care continuum. However, cognitive decl...

Emotional Expression and Mental Health Support in BTS Fandom Communities Using Natural Language Processing on YouTube Comments: Cross-Sectional Study.

BACKGROUND: The global rise of K-pop has shaped youth culture and online communities, particularly through BTS, a South Korean boy band with an intern...

Integration of artificial intelligence and multi-omics for precision medicine.

Precision medicine requires computational methods that can integrate genomic, transcriptomic, proteomic, metabolomic, epigenomic, single-cell and spat...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...

Machine learning for monitoring and assessment of potentially toxic elements in soils: a synthesis of spatial validation, explainability, and uncertainty.

Potentially toxic elements (PTEs) in soils pose persistent risks to ecosystems, groundwater, and food systems, creating a need for reliable spatial as...

Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation.

Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for mid-to-low rectal tumors, yet patients often strugg...

Improvement of Clinical Practice Guideline Appraisal by Human Experts and AI Agents by Using Structured Guidance: Systematic Review, Meta-Analysis, and Validation Study.

BACKGROUND: Rehabilitation clinical practice guidelines (CPGs) have increased rapidly, but inconsistent methodological quality limits their implementa...

Physicians' perspectives on artificial intelligence in electrocardiography in clinical practice: a qualitative study.

BACKGROUND: Artificial intelligence-enhanced electrocardiography (AI-ECG) may support ECG interpretation, prioritization, and workflow efficiency. ECG...

Automating Motivational Interviewing Coding in Adolescent Substance Use Prevention: Human-AI Agreement Study.

BACKGROUND: Motivational interviewing (MI) is widely used in preventive interventions, yet coding MI techniques and monitoring intervention adherence ...

The Impact of Digital Transformation on Nursing Professional Experience: Critical Interpretive Synthesis Review Developing the Fragmented Professional Transition in Nursing (FPT-N) Model.

BACKGROUND: Digital transformation through electronic health records (EHRs), telehealth, mobile health, and emerging AI has reshaped nursing work. Bey...

Multimodal artificial intelligence in prostate cancer: integrating multiparametric MRI with clinicopathological, molecular, and functional imaging data.

Multimodal artificial intelligence (AI) is reshaping prostate cancer imaging by moving beyond MRI-only algorithms toward models that integrate multipa...

Breathing Life into Data: A Critical Review of Artificial Intelligence and Computational Modelling in COPD Precision Management.

The escalating global burden of chronic obstructive pulmonary disease (COPD) has outpaced the capacity of conventional management paradigms to deliver...