Medicolegal

Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senescence and an imbalanced immune microenvironment were reported to serve as shared pathological hallmarks. However, the key driver genes remained unelucidated and lacked common therapies. The traditional Chinese medicine Gualou (Trichosanthes kirilowii, TK) used for related symptoms, hinted at a dual-o...

Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department.

STUDY OBJECTIVES: To describe real-world adoption of an ambient artificial intelligence (AI) scribe in the emergency department (ED) and compare documentation time and note characteristics between ambient and standard encounters using electronic health record audit logs. METHODS: We performed a retrospective observational study of adult ED encounters at a tertiary academic medical center. Attendin...

TFAP2A transcriptionally regulates B3GALT2 to affect gouty arthritis progression through pyroptosis: a study based on machine learning and multi-omics integration analysis.

BACKGROUND: Gouty arthritis (GA) is an inflammatory joint disease driven by monosodium urate (MSU) crystal deposition. The NOD-like receptor thermal p...

Self-Assembled Monolayers in p-i-n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning-Accelerated Material Discovery.

Self-assembled monolayers (SAMs) have precipitated a paradigm shift in the design of hole transport layers (HTLs) for p-i-n perovskite solar cells, em...

Automation bias and overconfidence in artificial intelligence and associated legal implications.

As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiologists may become overconfident in the abilities of ...

Artificial intelligence in virtual fracture clinics: a systematic review of imaging and clinical-text tools.

BACKGROUND: Virtual fracture clinics (VFCs) are a well-established component of acute orthopedic management pathways. Artificial intelligence (AI) hea...

Structure-Based Prediction of QT Prolongation Risk Using Graph Neural Networks: An Integrative Approach Combining In Vitro hERG Assays and Pharmacovigilance Data.

Drug-induced QT-interval prolongation, a non-specific biomarker of increased risk for Torsades de Pointes (TdP), is a major safety concern in drug dev...

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging.

OBJECTIVES: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into diagnostic imaging. This review examines how AI ad...

The Evolving Role of Musculoskeletal Ultrasound in Gout: From Diagnosis to Management-A Narrative Review.

Gout, a prevalent and treatable form of crystal-induced arthritis, results from monosodium urate (MSU) crystal deposition in articular and periarticul...

Ambient AI Documentation and Patient Satisfaction in Outpatient Care: Retrospective Pilot Study.

BACKGROUND: Patient experience is a critical consideration for any health care institution. Leveraging artificial intelligence (AI) to improve health ...

Convolutional Neural Networks on Correlation between GC-MS Molecular Data and QCM Gas-Sensing Data.

Here, we demonstrate a correlation between gas chromatography/mass spectrometry (GC-MS) compositional data and quartz crystal microbalance (QCM) sensi...

Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis.

BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems to assist clinicians with administrative and clinic...

Prioritizing nurse-patient relationships in the digital transformation of nursing: A discussion paper.

Healthcare is undergoing rapid digital transformation, with artificial intelligence (AI), automated documentation, and predictive analytics now integr...

Dual-kingdom necrobiome succession extends postmortem interval estimation into skeletonization.

Forensic estimation of the postmortem interval (PMI) becomes increasingly challenging when decomposition progresses beyond the initial weeks, as tradi...

Silk Fabric E-Skin with Bioinspired Fingerprint Design Enabled by a Mixed-Dimensional Assembly Strategy.

Silk fabric electronic skins (E-skins) enable a more natural and delicate interactive experience for smart devices. However, achieving precise structu...

Lipid nanoparticle-delivered ornithine transcarbamylase mRNA alleviates liver fibrosis in preclinical models.

BACKGROUND AND AIMS: Liver fibrosis poses a major health threat globally, with an acute shortage of effective treatments to stop or reverse its progre...

Predictive mixed-gas detection using rGO/In2O3 nanocomposite sensors assisted by machine learning.

Selectivity towards specific analytes and detection at sub-ppm levels remain significant challenges for chemiresistive gas sensors. Hybrid materials, ...

Integrating AI Scribes into Medical Education: Guardrails for Preserving Clinical Reasoning.

Clinical documentation is a cornerstone of physician training, not only as a record of care but as a catalyst for clinical reasoning. For medical trai...

Electronic health record use in physiotherapy: adoption, perceived relevance and utilisation patterns-a cross-sectional study.

OBJECTIVES: This study aims to assess electronic health record (EHR) use in physiotherapy, identify factors influencing its adoption and evaluate phys...

Evaluating ambient artificial intelligence documentation: effects on work efficiency, documentation burden, and patient-centered care.

BACKGROUND AND SIGNIFICANCE: Ambient listening tools powered by generative artificial intelligence (GenAI) offer real-time, scribe-like support that r...