Medicolegal

[Artificial intelligence in daily urological care: results of the AI barometer].

BACKGROUND: Urological care in Germany is undergoing transformation, while novel technologies with artificial intelligence (AI) have the potential to automate processes and support caregivers. The aim was therefore to systematically describe workload, current AI use, as well as trust and expectations within the context of the current healthcare landscape. METHODS: Nationwide anonymous cross-sectio...

Co-Lifecycle Governance for Learning Medical AI: A Hybrid Convergence Framework for Adaptive Regulatory Oversight.

Artificial intelligence (AI) in health care is increasingly defined not by static algorithms but by adaptive intelligence-systems that evolve over time through interactions with data, clinicians, and clinical environments. This adaptive capacity creates a structural mismatch with regulatory frameworks built for technologies whose behavior remains static. As AI models drift, recalibrate, or degrade...

Synthetic Inducible Bacteria Normalize the Microenvironment of Refractory Tumors, Potentiating Checkpoint Inhibitor Responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

Single-cell profiling and machine learning identify cuproptosis-related fibroblast subpopulations and fibrogenesis modulator AEBP1 in endometriosis.

Endometriosis is characterized by progressive fibrosis and limited therapeutic options. Cuproptosis, a copper-dependent form of regulated cell death, ...

Evaluating Medical Students' Perceptions of AI-Assisted Clinical Documentation (CarePilot): Cross-Sectional Study.

BACKGROUND: Artificial intelligence (AI) is increasingly being integrated into health care to streamline documentation and improve clinician efficienc...

Machine-learning algorithms to identify key practices contributing to variation in biosecurity levels on Japanese commercial swine farms.

Transboundary diseases, such as African swine fever, pose significant threats to the Japanese swine industry, making robust biosecurity essential. How...

Automation and digitalization in drug product process development.

The pharmaceutical industry is undergoing a significant digital transformation, with automation emerging as a central strategy to streamline drug prod...

Novelty to necessity: large language models in clinical practice-a call to action for physicians.

Large language models (LLMs) represent a rapidly advancing subset of artificial intelligence with significant potential to augment clinical practice. ...

Assessment of ambient air pollution and health risks using satellite remote sensing in the garment industrial belt of Savar and Gazipur, Bangladesh.

Particulate matter (PM₂.₅ and PM₁₀) pollution in rapidly industrializing regions poses significant environmental and public health risks. This study p...

Ambient Artificial Intelligence Scribes: A Scoping Review With Implications for Otolaryngology.

BACKGROUND/OBJECTIVE: Ambient artificial intelligence scribing, "ambient AI," is expanding across ambulatory specialties. Despite adoption, the impact...

Thiazolyl Blue as a High-Efficiency Leveler for Conformal Copper Electrodeposition in High-Aspect-Ratio PCB Through-Holes.

Driven by the rapid development of 5G/6G communications, high-performance computing, and artificial intelligence, the metallization of high-aspect-rat...

Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.

OBJECTIVE: We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. MATERIALS AND MET...

Application of a conversational AI system for voice-interactive history taking in neurosurgical patients.

BACKGROUND: ccurate and structured medical history taking is essential in neurosurgical practice, but repetitive inpatient interviews can be time-cons...

Operational 24-h PM2.5 forecasting using ensemble methods and open-access satellite data: application to Dakar, Senegal.

Accurate short-term air quality forecasting is urgently needed in African megacities. Chronic PM2.5 pollution threatens public health in these cities....

SCRIPT: Stratified clinical risk prediction from pathology reports using large language models.

BACKGROUND: Accurate risk stratification in oncology is essential for guiding treatment decisions, yet current algorithms rely on a narrow set of stru...

Artificial Intelligence for Colorectal Surgeons - Part II: Research Applications, Challenges in Adoption and Practical Resources.

BACKGROUND: This is Part II of a two-part series examining artificial intelligence (AI) in colorectal surgery. Part I established foundational concept...

What do clinicians edit in ambient AI-drafted clinical documentation? A qualitative content analysis.

OBJECTIVE: Ambient artificial intelligence (AI) documentation is increasingly used to draft clinical notes from patient-provider conversations, but ho...

Expert Evaluation and Consensus on GPT-4o Summaries of Clinical Letters: Validation and Results of the Framework and Implementation of AI Tools Project.

BACKGROUND: Large language models (LLMs) are increasingly used to summarize clinical documents; yet, automated metrics often inadequately capture clin...

Ambient Artificial Intelligence Scribes in Pediatric Hematology-Oncology: Early Implementation of DAX Copilot.

BACKGROUND: Ambient artificial intelligence scribes are increasingly integrated into electronic health records to reduce documentation burden, but lim...

Use of Generative Artificial Intelligence in the Management of Low Back Pain: a Scoping Review.

BACKGROUND CONTEXT: Low back pain (LBP) is common and a major cause of disability globally. Generative artificial intelligence (GenAI) such as ChatGPT...