Medicolegal

Navigating the medicolegal landscape of artificial intelligence in anaesthesia and peri-operative medicine.

Impact of AI Scribes on Physician Productivity and Workflow in Medical Oncology.

PURPOSE: Artificial intelligence (AI) scribes are being rapidly adopted in oncology, yet their real-...

Biosimilar stewardship at the interface of disproportionality methods and AI integration: current evidence and potential strategies.

INTRODUCTION: Biosimilar stewardship includes safety, appropriate use, and value. However, it faces ...

Biomedical Data Manifest: A lightweight data documentation mapping to increase transparency for AI/ML.

Biomedical machine learning (ML) models raise critical concerns about embedded assumptions influenci...

Characterization of cutaneous wound healing in swine.

The porcine excisional wound model is widely regarded as the most translationally relevant preclinic...

Natural language generation in healthcare: A review of methods and applications.

OBJECTIVE: This study presents a systematic review of natural language generation (NLG) methods and ...

Unraveling the matrix stiffness landscape in idiopathic pulmonary fibrosis: GSN and ARG1 as novel diagnostic biomarkers and potential therapeutic targets.

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is a progressive and fatal interstitial lung disease...

Interviews with clinicians about an ambient artificial intelligence documentation platform.

OBJECTIVE: Understand the qualitative impact of an ambient artificial intelligence (AI) documentatio...

Evaluating Large Language Model-Generated Clinical Summaries Through a Dual-Perspective Framework: Retrospective Observational Study.

Large language models (LLMs) are increasingly used by patients and families to interpret complex med...

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 senesc...

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 ...

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) c...

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 ...

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

As use of artificial intelligence algorithms in clinical practice becomes more commonplace, radiolog...

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 man...

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 Po...

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 ...

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 (MS...

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

BACKGROUND: Patient experience is a critical consideration for any health care institution. Leveragi...

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) compositiona...

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 t...