Medicolegal

Ardent Health: An AI-Enabled Virtual Care Model, from Pilot to Production.

Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and accelerating technology change. In 2024-2025, Ardent Health advanced an AI-enabled virtual care model from pilot to production across multiple markets. The model integrates virtual nursing, virtual attending physicians and providers, virtual sitting, and hospital-to-home remote patient monitoring (RPM) int...

Predicting ventilation from single breathing phase non-contrast CT using Swin Transformers.

BACKGROUND: Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans by quantifying regional lung function. However, current clinical standards, such as 99𝑚Tc-based single-photon emission computed tomography (SPECT), rely on radioactive tracers, which can introduce imaging deposition artifacts. CT ventilation imaging (CTVI) methods based on both physical models and ...

Automated identification of radiotherapy treatment sites from unstructured physician notes.

PURPOSE: Ambiguous or incomplete documentation is a recurrent bottleneck in radiation oncology workflows, leading to inefficiencies in communication a...

Artificial intelligence in gastroenterology clinical practice: Scoping review of large language model applications.

BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...

Socio-technical risks of clinical speech-to-text systems: Transparency, privacy, and reliability challenges in AI-driven documentation.

BACKGROUND: AI-driven speech-to-text (STT) documentation systems are increasingly adopted in clinical settings to reduce documentation burden and impr...

Multimodal radiomics of precisely segmented hippocampal subfields: Iron deposition and structural biomarkers for early diagnosis of Alzheimer's disease.

Profiling imaging biomarkers of prodromal Alzheimer's disease (AD) against AD dementia may aid earlier diagnosis, yet approaches jointly capturing iro...

Eliminating Nonvalue-Added Tasks in Health Care: Artificial Intelligence in the Orthopedic Office.

PURPOSE: This study examines the efficiency and proof-of-concept use of a generative artificial intelligence (AI) documentation prototype, evaluating ...

Large Language Models in Spine Surgery : A Narrative Review of Performance Paradox and Clinical Integration Challenges.

To provide a narrative synthesis of the performance paradox in large language model (LLM) applications for spine surgery, examining the disparity betw...

Legal and Ethical Challenges in Integrating AI Into Clinical Practice: Qualitative Study of Physicians' Real-World Experiences.

BACKGROUND: The adoption of artificial intelligence (AI) in health care has accelerated; however, physicians continue to face substantial legal, ethic...

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study.

BACKGROUND: Ambient artificial intelligence scribes are increasingly used to reduce clinician burnout and cognitive load, although their impact on doc...

Improving ward round documentation using the Heidi Health application.

INTRODUCTION: Accurate and timely documentation during surgical ward rounds is critical for ensuring patient safety, effective multidisciplinary commu...

Human vs. artificial intelligence in medical charting: a comparative study in the simulated emergency medicine context.

OBJECTIVES: The increasing administrative burden associated with electronic health records has contributed to reduced efficiency and rising burnout am...

Not a Doctor, but I Write Like One: ChatGPT in General Surgery Informed Consent.

INTRODUCTION: Informed consent is essential to surgical care yet often burdens clinicians. Recent studies suggest that large language models can strea...

Mass Media Narratives of Psychiatric Adverse Events Associated With Generative AI Chatbots: Rapid Scoping Review.

BACKGROUND: Generative artificial intelligence (AI) chatbots have rapidly entered public use, including in contexts involving emotional support and me...

Artificial intelligence for battlefield triage in large-scale combat operations: Opportunities, limits, and ethical considerations.

Large-scale combat operations (LSCOs) impose major constraints on battlefield medical systems, combining sustained casualty inflow, degraded communica...

Tailored Vapor Deposition Unlocks Large-Grain, Wafer-Scale Epitaxial Growth of 2D Magnetic CrCl3.

Two-dimensional magnetic materials (2D-MM) are an exciting playground for fundamental research, and for spintronics and quantum sensing. However, thei...

Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models.

OBJECTIVES: Accurate documentation of distant recurrence sites in breast cancer is essential for evaluating treatment effectiveness and outcomes resea...

Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models.

Accurate soil information is crucial for sustainable agricultural planning and land management, particularly in data-scarce regions, such as the Sudan...

Artificial Intelligence for Colorectal Surgeons - Part I: Foundations, Clinical and Educational Applications.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming colorectal surgery through applications spanning screening to postoperative care. Thi...

Human Activities Dominate Global Trends in Terrestrial Phosphorus Deposition.

Atmospheric deposition of phosphorus (P) has multitudes of environmental implications, but quantifying and validating its spatial and temporal pattern...