AIMC Topic: Cross-Sectional Studies
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Is there any room for ChatGPT AI bot in speech-language pathology?
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Mar 1, 2025
PURPOSE: This study investigates the potential of the ChatGPT-4.0 artificial intelligence bot to assist speech-language pathologists (SLPs) by assessing its accuracy, comprehensiveness, and relevance in various tasks related to speech, language, and ...
Evaluating the Performance of Artificial Intelligence for Improving Readability of Online English- and Spanish-Language Orthopaedic Patient Educational Material: Challenges in Bridging the Digital Divide.
The Journal of bone and joint surgery. American volume
Feb 28, 2025
BACKGROUND: The readability of most online patient educational materials (OPEMs) in orthopaedic surgery is above the American Medical Association/National Institutes of Health recommended reading level of sixth grade for both English- and Spanish-lan...
Future Use of AI in Diagnostic Medicine: 2-Wave Cross-Sectional Survey Study.
Journal of medical Internet research
Feb 27, 2025
BACKGROUND: The rapid evolution of artificial intelligence (AI) presents transformative potential for diagnostic medicine, offering opportunities to enhance diagnostic accuracy, reduce costs, and improve patient outcomes.
Is personality associated with the lived experience of the NHS England low calorie diet programme: A pilot study.
Clinical obesity
Feb 25, 2025
This pilot study explored the use of a novel behavioural artificial intelligence (AI) tool to examine whether personality is associated with the lived experience of the NHS England launched a low calorie diet (LCD). A cross-sectional survey was disse...
Machine learning for early diagnosis of Kawasaki disease in acute febrile children: retrospective cross-sectional study in China.
Scientific reports
Feb 25, 2025
Early diagnosis of Kawasaki disease (KD) allows timely treatment to be initiated, thereby preventing coronary artery aneurysms in children. However, it is challenging due to the subjective nature of the diagnostic criteria. This study aims to develop...
Deep learning to quantify the pace of brain aging in relation to neurocognitive changes.
Proceedings of the National Academy of Sciences of the United States of America
Feb 24, 2025
Brain age (BA), distinct from chronological age (CA), can be estimated from MRIs to evaluate neuroanatomic aging in cognitively normal (CN) individuals. BA, however, is a cross-sectional measure that summarizes cumulative neuroanatomic aging since bi...
Machine-learning random forest algorithms predict post-cycloplegic myopic corrections from noncycloplegic clinical data.
Optometry and vision science : official publication of the American Academy of Optometry
Feb 24, 2025
SIGNIFICANCE: Machine learning random forest algorithms were used to predict objective refractive outcomes after cycloplegic refraction using noncycloplegic clinical data. A classification model predicted post-cycloplegic myopia and could be useful i...
Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.
BMC public health
Feb 21, 2025
BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep...
Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study.
Journal of medical Internet research
Feb 21, 2025
Despite excitement around artificial intelligence (AI)-based tools in health care, there is work to be done before they can be equitably deployed. The absence of diverse patient voices in discussions on AI is a pressing matter, and current studies ha...
Navigating the integration of artificial intelligence in the medical education curriculum: a mixed-methods study exploring the perspectives of medical students and faculty in Pakistan.
BMC medical education
Feb 20, 2025
BACKGROUND: The integration of artificial intelligence (AI) into medical education is poised to revolutionize teaching, learning, and clinical practice. However, successful implementation of AI-based tools in medical curricula faces several challenge...
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