Medicolegal

Beyond the Hype: Understanding the Limits, Errors and Risk Areas of Artificial Intelligence in Gastroenterology.

Artificial intelligence (AI) has rapidly expanded across gastroenterology, enabling advances in real-time endoscopic detection, radiologic interpretation, digital pathology, multimodal prognostication, and electronic health record-based decision support. Despite strong performance in controlled studies and increasing regulatory adoption, the clinical integration of AI remains challenged by limitat...

NMRhub: An NMR Data Ecosystem Spanning the Complete Data Lifecycle.

The emergence of reporting standards represents a tremendous stride toward reproducible science, but significant challenges remain. Preserving data provenance is difficult, from generation through processing and analysis to publication. The accuracy of annotations diminish the longer the annotation is separated from the defining event. Manual annotations are often inaccurate or inconsistent. Feder...

The river erosion and deposition algorithm with adaptive search dynamics for balancing exploration and exploitation.

Artificial intelligence (AI) is rife with optimization problems, from automating feature engineering and hyperparameter tuning to training intricate n...

Preliminary evaluation of gunshot residue pattern analysis using flash-pulse infrared thermography and multi-task deep learning.

Gunshot residue pattern assessment can support forensic reconstruction, particularly for shooting distance evaluation, but commonly used approaches ma...

Could ChatGPT and co. replace forensic experts? A comparative study on medical liability expertise.

Artificial intelligence is expected to play an increasingly significant role in both medicine and law. The performance of generative artificial intell...

How does the implementation of AI-based automation of administrative tasks affect healthcare professionals' work? Study protocol for a longitudinal embedded case study in Swedish primary and specialist care.

INTRODUCTION: Artificial intelligence (AI) is transforming healthcare through enhanced computational capabilities that process vast amounts of data wi...

Predicting radiology no-shows with machine learning: Methodological pitfalls and practical considerations.

OBJECTIVE: Predictive machine learning (ML) models may help reduce radiology appointment no-shows and late cancellations, which disrupt care, reduce o...

Effectiveness of Thoracic Paravertebral Block in Minimally Invasive Vertebroplasty: A Retrospective Cohort Study Focusing on Pain Trajectories and Sagittal Spinal Alignment.

PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...

Optimizing Hospital Discharge Planning: Empirical Insights and Requirements of AI-Based Technologies From an Explorative Mixed Methods Field Study.

BACKGROUND: Discharge planning (DP) is crucial for care continuity after a hospital stay but remains complex due to organizational constraints, interp...

A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study.

BACKGROUND: Medical ambient artificial intelligence (AI) scribes reduce documentation burden, but the current evidence is almost entirely from English...

Evaluating Patient and Professional Satisfaction and Documentation Time Reduction Through AI-Driven Automatic Clinical Note Generation in Primary Care: Proof-of-Concept Study.

BACKGROUND: The workload that stems from writing clinical histories is one of the main sources of stress and overload for primary care professionals, ...

Postgraduate students' perceptions of artificial intelligence integration in research: A cross-sectional study.

BACKGROUND: Generative artificial intelligence (AI) tools such as ChatGPT are increasingly used in academic research, yet evidence on postgraduate stu...

Artificial intelligence perceptions and career anxiety among health sciences students.

Recent rapid developments in artificial intelligence (AI) technologies are leading to significant changes in social and economic structures. These cha...

Listening in: Orthopaedic Oncology Physicians' Perspectives on Implementation of Audio Recording/Artificial Intelligence Assist in Office Visits.

INTRODUCTION: With rapid expansion of artificial intelligence (AI) in clinical documentation, responsible implementation of this tool is imperative in...

When seconds matter - introducing a surgical salvage strategy by emergency robotic surgery: a review.

Robotic surgery has expanded minimally invasive options but introduces specific vulnerabilities during intraoperative emergencies. The physical separa...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Mod...

Macrophages restrict tumor immune infiltration by controlling collagen topography.

During tumorigenesis, the extracellular matrix is extensively remodeled. Whereas the impact of such remodeling on tumor growth and invasion is well de...

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study.

BACKGROUND: Aging populations and rising chronic illness prevalences are increasing demands for nursing care, while staff shortages threaten care qual...

A Pilot Study to Evaluate Artificial Intelligence-Driven Early Retrieval of Medical Histories in the Emergency Department.

STUDY OBJECTIVE: To assess the feasibility and acceptability of using ChatGPT to obtain histories of present illnesses directly from patients or careg...

A genetically optimized physics-informed neural network for multiphysics modeling of magnetic hyperthermia in brain cancer.

Magnetic hyperthermia therapy (MHT) in glioblastoma requires accurate modeling of nanoparticle transport and heat deposition across highly heterogeneo...