Medicolegal

Bridging Nanostructure Growth and Gas-Sensing Kinetics in Metal-Functionalized Graphene Using Machine-Learned Molecular Dynamics.

Graphene functionalized with catalytic transition metals offers high-performance chemiresistive gas sensing by coupling graphene's exceptional electronic transport with the metal's catalytic activity; yet the atomistic relationships connecting synthesis parameters, morphological outcomes, and sensor gas-surface reaction kinetics remain elusive. We developed an equivariant machine-learning interato...

From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era.

Large language models are rapidly transitioning from pilot schemes to routine clinical practice. This creates an urgent need for clinicians to develop the necessary skills to strike the right balance between seizing opportunities and taking accountability. We propose a 3-tier competency framework to support clinicians' evolution from cautious users to responsible stewards of artificial intelligenc...

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...

Robot Nurses and Artificial Intelligence in Pediatrics: Opinions of Pediatric Nurses: A Qualitative Study.

INTRODUCTION: This study was conducted to explore the views of pediatric nurses on robot nurses and artificial intelligence. METHOD: A qualitative res...

Effective prompt design for large language models in clinical practice.

BACKGROUND: Large language models (LLMs) have emerged as transformative healthcare tools for clinical documentation, diagnostic reasoning, and medical...

Ethical Considerations for the Use of Artificial Intelligence Tools in Surgery.

Artificial intelligence (AI) is rapidly transforming surgical care, offering unprecedented capabilities in diagnostics, planning, and intraoperative g...

Artificial Intelligence to Improve Patient-Physician Communication in Surgery.

Effective patient-physician communication is a cornerstone of surgical care, yet increasing clinical complexity and time constraints often limit oppor...

Effects of a transformer-based AI-based application to support incontinence-associated dermatitis and pressure injury assessment, nursing care and documentation: Controlled pilot intervention study.

BACKGROUND: Artificial intelligence (AI) is playing an increasingly important role in nursing care, including wound management. Differentiating pressu...

Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT.

PURPOSE: This study aimed to develop deep learning (DL) models for CT-free attenuation correction and Monte Carlo-based scatter correction in 99mTc-ma...

Precision mapping and driving factors of heavy metal(loid)s in agricultural soils of the Yellow River: An integrated machine learning and Geodetector approach.

Heavy metal (loid) (HM) contamination of agricultural soils threatens global food security and sustainable development. Despite the Yellow River Basin...

Clinical applications of artificial intelligence in hand surgery: A systematic review and meta-analysis.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, yet its clinical integration in hand surgery remains variable and incomp...

Enlarged cavum septum pellucidum & increased incidence of schizophrenia: Narrative review for neurodevelopmental correlate.

Schizophrenia being a major psychiatric disorder comprises of dominant neurodevelopmental corroborations; still there are inadequate markers which rev...

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...

The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery.

Artificial intelligence (AI) is rapidly transforming surgical practice with growing applications in colon and rectal surgery. This review explores per...

Vision-language models in diagnostic imaging: review of technical advances, clinical validation, and practical deployment.

BACKGROUND: Radiology faces an unprecedented workload crisis, creating demand for AI solutions to enhance efficiency and quality. Vision-language mode...

Early Insights Among Emergency Medicine Physicians on Artificial Intelligence: A National, Convenience-sample Survey of the American College of Emergency Physicians.

OBJECTIVES: This study aimed to assess the current utilization of artificial intelligence (AI) tools among emergency physicians, their attitudes towar...

A clinical-AI correlation for integrating artificial intelligence into stroke care: a systematized literature review and practice framework.

BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has outpaced many clinicians' ability to critically eva...

The use of large language models in clinical documentation: A scoping review.

BACKGROUND: Clinical documentation is essential for safe, high-quality care but has become increasingly complex, contributing to clinician burnout. La...

Sustainable silk fibroin scaffolds for bone repair: assessing their osteogenic potential via AI-enhanced synchrotron imaging workflow.

Effective bone regeneration requires scaffolds capable of guiding and supporting new mineralized matrix formation. In this study, silk fibroin constru...

From Bytes to Bedside: Exploring the Impact of AI on Medicine and Education.

The rapid evolution of generative artificial intelligence (AI) is poised to transform medicine and medical education. Large language models (LLMs) hav...