Medicolegal

Evaluating the impact of artificial intelligence scribes on clinical documentation in primary care: a simulation study.

OBJECTIVES: To investigate the performance of artificial intelligence (AI) scribes and their impact on clinical documentation time. MATERIALS AND METHODS: Artificial intelligence scribes were assessed using clinical simulations with 9 primary care physicians, each conducting 4 simulated encounters with standardized patients with and without the use of an AI scribe. Clinical simulations were audio ...

Feasibility of Tailoring Artificial Intelligence-Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation.

BACKGROUND: The increasing documentation burden on physicians is a significant contributor to burnout and decreases in care quality. Artificial intelligence (AI) has been proposed as a solution to reduce documentation burden in clinical care, but there are very limited data on its use in the inpatient and intensive care unit (ICU) environments. OBJECTIVE: This pilot study aimed to explore the feas...

The algorithmic covenant: why AI-driven consent must not replace clinician responsibility.

Health systems are increasingly deploying artificial intelligence (AI) tools to deliver procedural information, generate documentation, and support pa...

Operationalizing AI-Assisted Polypharmacy Review in Post-Acute and Long-Term Care: A 4Ms-Based, NP-Led Workflow.

Polypharmacy in post-acute and long-term care (PA/LTC) is common and is associated with falls, delirium, hospitalization, functional decline, and mort...

Radon progeny monitoring outdoors using multiple NaI detectors.

Radon progeny may be used as tracers of environmental processes. In this work, a methodology involving two NaI(Tl) detector systems for the continuous...

Dental age assessment: orthopantomogram-based comparison of traditional methods and artificial intelligence in the adult population.

Dental age estimation in adults represents an important component of forensic odontology and medicolegal practice. Recent artificial intelligence (AI)...

[The application of artificial intelligence in healthcare: benefits, challenges, and issues of responsibility].

INTRODUCTION AND OBJECTIVE: Artificial intelligence is playing an increasingly important role in healthcare, particularly in diagnostics, clinical dec...

New challenges in medical law. Patient-doctor relationship, informed consent and medical civil liability in the era of AI.

Change isn't something new to Medicine. Since the beginning of times, Medicine has been forced to, progressively, adapt according to scientific, biolo...

Dosimetry of Inhaled Aerosols: From Exposure to Target Tissue Dose in Risk Assessment and Drug Delivery.

Inhaled aerosol dosimetry is a critical discipline bridging exposure to biological effect in both therapeutic and toxicological contexts. This review ...

Informed Consent Disclosures and Minimum Requirements in AI Clinical Trials: Cross-Sectional Analysis.

BACKGROUND: The integration of artificial intelligence (AI) into clinical research challenges traditional informed consent (IC) frameworks due to the ...

Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study.

BACKGROUND: In intensive care unit (ICU) settings, structured team-based communication, such as multidisciplinary rounds, handoffs, and goals-of-care ...

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

BACKGROUND: Unstructured clinical text remains a major barrier to interoperable data reuse and large-scale secondary analysis in health care. Large la...

Exploring Ambient Artificial Intelligence to Enhance Learning and Feedback During Operating Room-to-Intensive Care Unit Handoffs: Co-Design and Simulation Study.

BACKGROUND: Operating room (OR)-to-intensive care unit (ICU) handoffs are among the most complex and high-risk communication events in perioperative c...

Ambient AI Scribes and Emergency Department Documentation Burden: Retrospective Cohort Study.

BACKGROUND: Clinician burnout has reached crisis levels in emergency medicine, with clinical documentation burden identified as a central contributing...

Optimization of mechanical performance in bioinspired FDM-printed PLA sandwich structures using machine learning.

Despite some successes and claims of the best possible mechanical performance in 3D printed parts, it is essential that intelligent design approaches ...

Leveraging artificial intelligence to streamline documentation and support patient-centered gynecologic oncology outpatient visits.

OBJECTIVES: This study aims to evaluate provider-perceived accuracy, completeness, and clinical utility of ChatGPT-generated assessment and plans for ...

Biobanking for intelligent medicine: assessment and evaluation with the SHARE principle.

BACKGROUND: Biobanks are essential for intelligent medicine but face fragmentation and heterogeneity. No standardized framework exists for assessing b...

Integrative machine learning and CRISPR/Cas9 analysis reveals the role of APOE in lipid metabolism-associated kidney fibrosis.

Kidney fibrosis, characterized by excessive extracellular matrix deposition and progressive renal tissue remodeling, frequently culminates in End-stag...

Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners.

OBJECTIVE: To examine UK general practitioners' (GPs) adoption of ambient artificial intelligence (AI) scribes and to assess user-reported error rates...

Regulation of Artificial Intelligence in Veterinary Medicine.

Artificial intelligence (AI) tools are rapidly being adopted in veterinary medicine. Unlike human medicine, where the Food and Drug Administration has...