AIMC Topic: Cross-Sectional Studies
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The Evolving Role of Artificial Intelligence in Plastic Surgery Education: Insights From Program Directors and Residents.
Journal of surgical education
Sep 1, 2025
OBJECTIVE: To assess the current state of artificial intelligence (AI) policies, educational resources, and perceptions within U.S. plastic surgery residency programs from the perspectives of program directors (PDs) and residents.
Artificial Intelligence-Based Chabots' and Nursing Students' Academic Performance: The Mediating Role of Technophobia and Technophilia.
International nursing review
Sep 1, 2025
AIM: This study aims to assess the relationship between artificial intelligence (AI) chatbot usage on the academic performance of nursing students, focusing on the mediating roles of technophobia and technophilia.
Assessing the effect of perfluoroalkyl and polyfluoroalkyl substances on cardiovascular-kidney-metabolic syndrome: Insights from an interpretable machine learning model.
The Science of the total environment
Sep 1, 2025
Cardiovascular-kidney-metabolic syndrome (CKM) and its association with exposure to emerging pollutants, particularly perfluoroalkyl and polyfluoroalkyl substances (PFAS), present significant challenges for environmental public health and risk predic...
Factors affecting Artificial Intelligence usage intention among nursing students: Unified theory of acceptance and use of technology.
Nurse education today
Sep 1, 2025
BACKGROUND: Nursing students' acceptance and usage of AI are crucial for embracing and implementing the technology in nursing practice in the future. However, there is a lack of literature to examine the factors affecting AI usage intention among nur...
Assessing the accuracy of the GPT-4 model in multidisciplinary tumor board decision prediction.
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
Sep 1, 2025
PURPOSE: Artificial intelligence models like GPT-4 (OpenAI) have the potential to support clinical decision-making in oncology. This study aimed to assess the consistency between multidisciplinary tumor board (MTB) decisions and GPT-4 model predictio...
Population-Driven Synthesis of Personalized Cranial Development From Cross-Sectional Pediatric CT Images.
IEEE transactions on bio-medical engineering
Sep 1, 2025
OBJECTIVE: Predicting normative pediatric growth is crucial to identify developmental anomalies. While traditional statistical and computational methods have shown promising results predicting personalized development, they either rely on statistical...
Performance assessment of artificial intelligence chatbots (ChatGPT-4 and Copilot) for sharing insights on 3D-printed orthodontic appliances: A cross-sectional study.
International orthodontics
Sep 1, 2025
OBJECTIVE: To evaluate and compare the performance of OpenAI's ChatGPT-4 and Microsoft Copilot in providing information on 3D-printed orthodontic appliances, with a focus on the accuracy, completeness of the content, and response generation time.
[Development of a machine learning-based diagnostic model for T-shaped uterus using transvaginal 3D ultrasound quantitative parameters].
Zhonghua yi xue za zhi
Aug 12, 2025
To develop a machine learning diagnostic model for T-shaped uterus based on quantitative parameters from 3D transvaginal ultrasound. A retrospective cross-sectional study was conducted, recruiting 304 patients who visited the hysteroscopy centre of...
The oral microbiome and its effect on exhaled breath volatile analysis-the elephant in the room.
Journal of breath research
Aug 11, 2025
The rapid transfer of volatiles from alveolar blood into the lungs and then out of the body in exhaled breath leads to the common and natural conclusion that these volatiles provide information on health and metabolic processes, with considerable pot...
Factors Shaping Healthcare Professionals' Perceptions of AI in Saudi Arabia: A Cross-Sectional Study.
Studies in health technology and informatics
Aug 7, 2025
The successful adoption of artificial intelligence (AI) in healthcare relies on healthcare professionals' perceptions of its usefulness and their preparedness to integrate it into their practice. This study explores factors influencing these percepti...
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