Medicolegal

The nephrologist in the present and near future: between algorithms and autonomy.

This perspective examines how artificial intelligence (AI) may reshape nephrology over the next two decades while keeping the nephrologist's role central. Prediction models for acute kidney injury and chronic kidney disease progression, and multimodal tools such as KidneyIntelX, will deliver continuous, patient-level risk estimates from electronic health records, biomarkers, imaging, and wearable ...

Diagnostic performance and short-interval reproducibility of multimodal large language models in differentiating cholesteatoma from chronic otitis media using key-image temporal bone high-resolution computed tomography.

PURPOSE: This study aimed to assess whether multimodal large language models (LLMs) can distinguish cholesteatoma from non-cholesteatomatous chronic otitis media (COM) on representative key-image temporal bone high-resolution computed tomography (HRCT) and to evaluate the short-interval reproducibility of their outputs. METHODS: This retrospective, single-center study (2019-2024) included 101 pati...

Comparative effectiveness of ambient documentation tools in primary care tool-specific variations in efficiency, documentation burden, and productivity over time.

OBJECTIVES: To evaluate the comparative effectiveness of ambient documentation tools (ADTs) with distinct architectures (Tablet-Based Virtual Human-As...

Ambient AI Scribes as Emerging Infrastructure in the Learning Health System.

Ambient artificial intelligence (AI) scribes are systems that automatically generate clinical documentation from clinician-patient conversations and a...

Integrating New Approach Methodologies and Artificial Intelligence to Advance Central Nervous System Toxicity Prediction: Lessons from Preclinical and Clinical Case Studies.

Central nervous system (CNS) toxicities remain a major cause of drug attrition and represent a persistent challenge in predicting neurological risk du...

Nurse-Led Ambient AI Scribe for Patient Safety Incident Investigation Reports (Project NARRATE): Retrospective Pre-Post Comparative Document-Quality Study.

BACKGROUND: Patient safety investigation reports support organizational learning only when they are complete, usable, and sufficiently detailed. Conve...

Physician burnout in rheumatology: are medical scribes part of the solution?

Retention of highly qualified physicians remains a critical priority in rheumatology and the broader medical field due to persistent physician shortag...

An exploratory survey of barriers and enablers of AI adoption in rural and urban dental practices in Mecklenburg-Western Pomerania, Germany.

Administrative tasks substantially limit the time available for direct patient care in dentistry. The use of artificial intelligence (AI) can reduce a...

Radiological differentiation of original and generic dental implants using a multiclass AI model in comparison with human expertise: an in vitro study.

OBJECTIVES: The aim of the present study was therefore to evaluate whether a programmed artificial intelligence (AI) system can reliably differentiate...

Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...

Arch-Bridge-Inspired Auxetic Piezoelectric Nanogenerators for Machine Learning-Assisted Object Recognition.

Piezoelectric polymers are increasingly in demand for wearable devices and soft robotics, where high sensitivity, tunability, and versatile mechanical...

ChatGPT and Large Language Models in Contemporary Nursing.

OBJECTIVES: This narrative review synthesizes published evidence on the applications, benefits, limitations and governance considerations of ChatGPT a...

Closing the Health Policy Implementation Gap With Artificial Intelligence.

IMPORTANCE: Health care policies often fail to achieve their goals due to implementation challenges attributable to workforce constraints, fragmented ...

Machine Learning to Identify Point-of-Care Ultrasound and Evaluate Standardized Documentation: Retrospective Operational Cohort Study.

BACKGROUND: Point-of-care ultrasound (POCUS) is integral to obstetrics and gynecology (OBGYN), offering bedside diagnostic and therapeutic advantages....

Atmospheric aerosol deposition and its potential influence on particulate organic carbon in the South China Sea.

Atmospheric aerosol inputs represent a potential external forcing influencing marine biogeochemical processes in marginal seas. In the monsoon-dominat...

The use of artificial intelligence models for interpretation and triage of clinical referral letters to acute and specialist care pathways: Protocol for a systematic review.

BACKGROUND: Clinical referral letters direct patients into acute, urgent, and specialist care pathways, but their triage is typically manual, heteroge...

Sharp nanothorn-equipped ionogel microrobots for targeted periodontitis therapy.

Periodontitis necessitates targeted therapy due to its high prevalence, progressive tissue destruction, and systemic disease links. Conventional mecha...

[Web-based translation software in clinical practice : A survey in a German university hospital including a data protection and liability perspective].

BACKGROUND: Language barriers are an obstacle in everyday clinical practice. Webbased translation software can offer a low-barrier solution. This stud...

Patterns of iron deposition and classification in parkinsonian syndromes: a quantitative susceptibility mapping study.

Differential diagnosis of parkinsonian syndromes remains challenging because of overlapping clinical symptoms. We characterized brain iron deposition ...

Deep learning framework for predicting measurement error drift in smart meter sensors under harsh coastal environments.

Smart meter sensors in coastal environments suffer severe accuracy degradation due to salt fog corrosion, high humidity, and temperature cycling affec...