Medicolegal

Ophiopogon japonicus alleviates pulmonary fibrosis through modulation of HIF1A/TUBB3 axis-associated M2 macrophage polarization and arginine metabolic alterations.

ETHNOPHARMACOLOGICAL RELEVANCE: Ophiopogon japonicus (Thunb.) Ker Gawl. is a traditional Chinese medicinal herb commonly used to "nourish yin and moisten the lung", and has long been applied for the prevention and treatment of lung-related disorders in classical medical texts such as the Treatise on Typhoid Fever and Item Differentiation of Warm Febrile Diseases. Pulmonary fibrosis (PF) is a chron...

Regulatory science for AI-based software as a medical device in computational pathology and biomarker-driven drug development.

BACKGROUND: Artificial intelligence (AI)-enabled software is increasingly integrated into digital and computational pathology, driving new regulatory and quality management requirements that extend beyond traditional laboratory practice and classical medical-device oversight. Practical, experience-based guidance on balancing development agility with global regulatory readiness remains limited for ...

Medical Scribe and Ambient Artificial Intelligence Impact on Emergency Physician Documentation Burden and Clinical Productivity.

STUDY OBJECTIVE: Emergency physicians experience substantial documentation burden, contributing to physician burnout. Human scribes reduce documentati...

Slow-wave-modulated high-frequency oscillations reveal early network abnormalities in pre-pathological 5XFAD mice.

Alzheimer's disease (AD) is characterized by progressive disruption of large-scale neural networks, leading to abnormal brain oscillatory activity, ye...

Sub-voxel Susceptibility Mapping and Machine Learning to Detect Brain Iron Deposition and Its Cognitive Relevance in Beta-Thalassemia.

OBJECTIVE: Brain iron dysregulation is increasingly recognized as a critical contributor to neurocognitive impairment in patients with beta-thalassemi...

Clinical artificial intelligence applications of vision-language foundation models.

Vision-language models (VLMs) represent a transformative advance in generative artificial intelligence (AI), using multimodal data processing to enhan...

Swin UNETR-based prediction of [68Ga]Ga-FAPI-46 PET/CT dose rate maps in cancer patients: quantitative comparison with [18F]FDG PET/CT.

BACKGROUND: Fibroblast activation protein (FAP) is a promising theranostic target due to its high stroma expression in numerous malignancies. This stu...

Artificial intelligence in dermatology: Clinical promise and environmental impact.

Artificial intelligence (AI) is reshaping dermatology through diagnostic image analysis, clinical documentation, and patient communication tools. Howe...

Large language models and generative artificial intelligence in endodontics: a scoping review.

The aim of this study is to comprehensively examine the evolution of artificial intelligence (AI), specifically large language models (LLMs), in the f...

Prompt-directed ambient artificial intelligence for automated multidisciplinary tumor board documentation.

BACKGROUND: Tumor board documentation is challenging due to complexity of multidisciplinary input. Ambient artificial intelligence (AI) for medical di...

Global advances in health artificial intelligence: a workforce imperative.

The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retir...

Inorganic thermoelectric thin films: From synthesis to application.

Thermoelectric technologies constitute a sustainable paradigm for waste heat recovery. Inorganic thermoelectric thin films, leveraging low-dimensional...

Legal and ethical responsibility for AI-assisted diagnostic and referral errors: a scoping review of comparative approaches with implications for Saudi healthcare.

BACKGROUND: Artificial intelligence (AI) systems are increasingly embedded in clinical diagnostics and referral pathways, yet when these tools contrib...

The impact of an ambient documentation tool on the care experience of clinical pharmacists embedded in ambulatory clinics: A mixed-methods evaluation.

PURPOSE: Ambient documentation tools (ADTs) are an emerging technology designed to help clinicians complete documentation more effectively with less t...

Artificial Intelligence-Enhanced Dictation Improves Efficiency in a Regional General Surgery Clinic: A Quasi-Experimental Pilot Study.

INTRODUCTION: Rural surgical services face increasing clinical demand and administrative burden, often exacerbated by limited workforce and support in...

Re-Centering Clinical Documentation in the Age of AI Scribes: Four Aims of the Patient Chart Note.

Clinical documentation is a foundational skill in medicine, developed during training and required in everyday practice. Historically, the chart note ...

Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.

BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, ...

Deep learning layer-specific collagen quantification correlates with activity and is associated with outcomes in Crohn's disease.

BACKGROUND & AIMS: Intestinal fibrosis remains a major unmet need in inflammatory bowel disease (IBD). Although collagen deposition is the defining fe...

Machine Learning Surface Plasmon Resonance Biosensor for Simultaneous Detection of Glucose and Plasmodium falciparum Biomarkers.

In low-resource clinical settings, Plasmodium falciparum infection and hypoglycemia frequently co-present yet require discrete diagnostic platforms, c...

Integrated multi-omics and experimental validation reveal CSK and FBLN1 as key targets of stanozolol in accelerating atherosclerosis.

BACKGROUND: Stanozolol, a synthetic anabolic androgenic steroid (AAS) widely abused to enhance performance, has poorly defined toxicological mechanism...