Medicolegal

Integrating AI Scribe Technology into Public Health Workflows: Simulation and Field Evaluation in Disease Case Management.

The growing integration of generative artificial intelligence (GenAI) into clinical documentation offers new opportunities to enhance public health surveillance and response. This pilot study evaluated an AI scribe for infectious disease management in two Public Health Units (PHUs) in Ontario, Canada, using a two-phase evaluation. Results show meaningful reductions in administrative workload and p...

Generative AI in Dutch General Practice: A Pilot Study of Current Use and Future Perspectives.

Dutch general practice is under increasing pressure from workforce shortages and administrative workload. Generative artificial intelligence (GenAI) is being promoted as a potential way to support documentation, communication, and clinical reasoning, yet real-world use and evaluation in primary care remain insufficiently understood. This exploratory pilot study examined how Dutch general practitio...

Exploring a Large Language Model-Based Chatbot Use in Data Analysis: A Case Study of the Problems Related to the Do Not Attempt Resuscitation Order.

The interpretative framework was used to explore how healthcare professionals (HCPs), artificial intelligence (AI), and researchers construct and nego...

Advancing Pediatric Rehabilitation Documentation via Neuro-Symbolic AI.

For automated documentation systems to be meaningful in pediatric rehabilitation, they must accurately capture and summarize information about a child...

Can NLP Detect Loneliness in Electronic Health Records? A Proof-of-Concept Study.

Loneliness is clinically important but under-documented in electronic health records (EHRs), posing challenges for secondary use and computational phe...

From Unstructured to Structured Nursing Documentation for Myocardial Infarction Patients Using Clinical Practice Guidelines and SNOMED CT.

This study aims to analyze unstructured nursing documentation of myocardial infarction patients using clinical practice guidelines and SNOMED CT. A to...

Co-Designing AI-Supported Clinical Documentation for Rehabilitation.

Clinical documentation is vital for continuity of care but increasingly burdensome due to administrative demands. This study applies a co-design appro...

Time to Care-AI Supported Nursing Documentation.

This study conducted a needs assessment to evaluate contextual factors, adoption barriers, and overall readiness of municipal healthcare services to i...

Exploring Documentation Burden and the Use of Artificial Intelligence Among Swiss Rehabilitation Professionals.

This cross-sectional online survey presents preliminary results examining Swiss occupational and physical therapists' (OTs/PTs) documentation burden a...

[Artificial intelligence in urological surgery].

BACKGROUND: The integration of artificial intelligence (AI) into urological robotic surgery is currently in a dynamic phase of development and validat...

Artificial intelligence to revolutionize surgical decision-making is still just around the corner.

Medical artificial intelligence, especially large language models, has engendered both excitement and unease across the medical community, promising i...

The evolving physician-AI relationship: a five-tier framework for integrating intelligent systems into clinical practice and medical education.

Artificial intelligence (AI) is increasingly entering oncology, with systems demonstrating physician-comparable performance in selected tasks such as ...

Current Documentation in the Delivery Room and Strategies for Improvement.

BACKGROUND: Current neonatal resuscitation program standards recommend the use of real-time documentation completed by a designated scribe. Accurate d...

Multi-dimensional analysis revealing the mechanism of T-2 toxin driving liver fibrosis: integration of network toxicology, machine learning, experimental verification, and molecular docking.

BACKGROUND: T-2 toxin is a highly toxic mycotoxin commonly present in food and the environment, with accumulating evidence supporting its hepatotoxic ...

QSAR in the AI Era: Reflections for Advancing Chemical Safety Assessment.

Quantitative Structure-Activity Relationship (QSAR) models are increasingly discussed in the broader context of artificial intelligence (AI). Indeed, ...

Extracting Signs and Symptoms of Hypertensive Disorders in Pregnancy from Clinical Notes Using Natural Language Processing.

PURPOSE: Hypertensive disorders in pregnancy (HDP) affect 16% of births in the United States. In this pilot study, we conducted a preliminary evaluati...

Large language models and large multimodal models in radiology: opportunities, challenges, and the path toward sustainable long-term clinical integration.

Large language models (LLMs), built on transformer architecture, have emerged as a fundamental tool in natural language processing and contextual reas...

Intelligent Manufacturing: A Fully Annotated Synthetic Dataset for Fiber Orientation Estimation.

This work introduces a fully annotated synthetic dataset designed to support machine learning-based estimation of fiber orientation in short-fiber rei...

National trends and comparative outcomes of insulin versus non-insulin therapy in acute ischemic stroke patients treated with mechanical thrombectomy: a retrospective cohort study using the national inpatient sample.

Background diabetes mellitus is prevalent among patients with acute ischemic stroke (AIS). The prognostic significance of long-term insulin treatment ...

Reduction of Electronic Medical Record Documentation Time and Burden Using an Artificial Intelligence Scribe Tool in an Orthopaedic Clinic.

INTRODUCTION: With an aging population in the United States, the demand for joint arthroplasty procedures continues to rise. As patient volumes increa...