AIMC Topic: Cross-Sectional Studies
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Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods.
Scientific reports
Apr 11, 2025
Early and accurate identification of patients at high risk of metabolic dysfunction-associated steatotic liver disease (MASLD) is critical to prevent and improve prognosis potentially. We aimed to develop and validate an explainable prediction model ...
[Not Available].
Vertex (Buenos Aires, Argentina)
Apr 10, 2025
Introducción: la ideación suicida es el pensamiento de autoeliminación no siempre reportada por los pacientes en test de depresión. El objetivo fue identificar y analizar síntomas depresivos del cuestionario de salud del paciente-9 asociados a ideaci...
Evaluating the agreement between ChatGPT-4 and validated questionnaires in screening for anxiety and depression in college students: a cross-sectional study.
BMC psychiatry
Apr 10, 2025
BACKGROUND: The Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence-based web application, has demonstrated substantial potential across various knowledge domains, particularly in medicine. This cross-sectional study assesse...
Domestic violence and childhood trauma among married women using machine learning approach: a cross-sectional study.
BMC public health
Apr 10, 2025
BACKGROUND: Globally, 27% of ever-partnered women aged 15-49 have experienced physical, sexual, or intimate partner violence at least once in their lifetime. In Saudi Arabia, domestic violence (DV) remains a concern despite cultural and economic adva...
The Role of Artificial Intelligence in the Diagnosis and Management of Rheumatoid Arthritis.
Medicina (Kaunas, Lithuania)
Apr 9, 2025
Artificial intelligence has emerged as a transformative tool in healthcare, offering capabilities such as early diagnosis, personalised treatment, and real-time patient monitoring. In the context of rheumatoid arthritis, a chronic autoimmune disease...
The Role of ChatGPT in osteoporosis management: a comparative analysis with clinical expertise.
Archives of osteoporosis
Apr 9, 2025
UNLABELLED: This study evaluates the role of ChatGPT in osteoporosis management, demonstrating 91% diagnostic accuracy and significantly faster response times compared to clinicians. The findings highlight the potential for artificial intelligence (A...
The impact of digital competence on pedagogical innovation among nurse educators: The moderating role of artificial intelligence readiness.
Nurse education in practice
Apr 8, 2025
AIM: To investigate the relationships between digital competence, AI readiness and pedagogical innovation among nurse educators, with a specific focus on the moderating role of AI readiness.
Evaluation of correctness and reliability of GPT, Bard, and Bing chatbots' responses in basic life support scenarios.
Scientific reports
Apr 3, 2025
Timely recognition and initiation of basic life support (BLS) before emergency medical services arrive significantly improve survival rates and neurological outcomes. In an era where health information-seeking behaviors have shifted toward online sou...
A validity and reliability study of the artificial intelligence attitude scale (AIAS-4) and its relationship with social media addiction and eating behaviors in Turkish adults.
BMC public health
Apr 2, 2025
BACKGROUND: In recent years, there has been a rapid increase in the use of the internet and social media. Billions of people worldwide use social media and spend an average of 2.2 h a day on these platforms. At the same time, artificial intelligence ...
Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study.
Journal of medical Internet research
Apr 2, 2025
BACKGROUND: The last decade has witnessed major advances in the development of artificial intelligence (AI) technologies for use in health care. One of the most promising areas of research that has potential clinical utility is the use of AI in patho...
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