Surveys

Hematology-Oncology Fellows' Use of Artificial Intelligence: A Multicenter Educational Practice and Needs Assessment Survey.

Artificial Intelligence (AI) is rapidly being incorporated within healthcare, including medical education. Hematology-oncology (HO) is a complex field and AI is of great value in education and practice. We explored HO fellow's confidence and concerns with use of AI, AI training that HO fellows currently receive, and interest in future AI training. Multi-institutional survey administered to fellows...

Automation dependence in AI-assisted colonoscopy: impact of system reliability and surgeon experience on navigation performance.

BACKGROUND: As artificial intelligence (AI) is increasingly introduced into endoscopic navigation, understanding how operators use and respond to AI suggestions is essential for designing safe and effective human-AI collaboration. This study investigated the effects of AI reliability and operator experience on task performance and cognitive responses in a simulated colonoscopy navigation task. MET...

Twelve quick tips for AI-assisted coding in science.

While AI coding tools have demonstrated potential to accelerate software development, their use in scientific computing raises critical questions abou...

Identifying cluster profiles based on barriers and facilitators to physical activity during COVID-19 confinement: A cross-sectional study using machine learning analysis.

Social restrictions, such as confinement periods, tend to reduce physical activity (PA) levels. However, sociodemographic factors may influence specif...

Multimodal deep learning for detecting current depressive symptom status using wearable time-series data and structural brain MRI in high-risk occupational groups.

In high-risk occupational groups, current mental health status may be underreported because of stigma or concerns about disadvantage. Wearable data ca...

Performance of large language models in data extraction for evidence synthesis: A systematic review.

OBJECTIVE: Data extraction is among the most resource-intensive and error-prone stages of systematic review production. Large language models (LLMs) o...

Measures matter: assessing childhood maltreatment and emotion dysregulation in a transdiagnostic sample.

Background: Childhood maltreatment (CM) is a major risk factor for different mental disorders and transdiagnostic mechanisms, including emotion dysreg...

The effectiveness of adding on or switching antiseizure medications after the first fails to control focal epilepsy: A systematic review of randomized controlled trials.

Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...

Chinese expert concern and consensus on applications of artificial intelligence in clinical cancer imaging.

Artificial intelligence (AI) demonstrates potential throughout the cancer care continuum, with evidence supporting its application in medical imaging ...

Deep Learning-Based Lung Cancer Segmentation and Volumetric Analysis Using CT Imaging: A Comprehensive Survey.

Lung cancer is one of the most prevalent causes of cancer-related deaths in the world, and in this context, accurate estimation of tumor burden and tr...

Performance of Large Language Models for Oncology Nursing Decision Support: Cross-Sectional Study.

BACKGROUND: Large language models (LLMs) are increasingly used in health care, with emerging applications in clinical decision support and nursing edu...

Large Language Models for Endodontic Symptom Assessment and Treatment Planning Using Image-Free Clinical Records: Comparative Evaluation Study.

BACKGROUND: Accurate assessment of pulpal status is essential for achieving successful endodontic outcomes. However, direct evaluation remains inheren...

AI-Generated Personalized Visualization of the Safe Place in Virtual Reality vs Traditional Safe Place Imagery: Randomized Controlled Trial.

BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects o...

Diagnostic Performance of Large Language Models for Orthopedic-Related Rare Diseases and Their Impact on Physicians' Diagnostic Accuracy: 2-Stage Comparative Evaluation Study Based on the Chinese Rare Disease Catalog.

BACKGROUND: Orthopedic-related rare diseases are difficult to diagnose because of their low prevalence, heterogeneous phenotypes, and fragmented knowl...

Patient and Family Perspectives on Generative AI Tools in Rare Diseases: Exploratory Mixed Methods Online Survey.

BACKGROUND: Generative artificial intelligence (GenAI) tools are widely accessible to the public, who are engaging with them for a wide range of healt...

Japanese Health Information Technology Usability Evaluation Scale for Sexually Transmitted Infection-Related Chatbots: Development and Psychometric Validation Study.

BACKGROUND: The rapid expansion of mobile technology has accelerated the integration of health applications and conversational AI into clinical and pu...

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...

A conceptual framework for measuring AI health equity.

BACKGROUND: Artificial intelligence (AI) is increasingly embedded in health systems globally and has the potential to improve efficiency, diagnostic a...

Predicting, describing, or measuring? How to align model purpose with validity and applicability in critical care outcome research.

PURPOSE OF REVIEW: Clinical models are commonly applied in critical care for both descriptive and predictive purposes. However, methodological rigour ...

[Translated article] Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an effective strategy to enhance safety, quality, and...