AIMC Topic: Cross-Sectional Studies
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Artificial intelligence in focus: assessing awareness and perceptions among medical students in three private Syrian universities.
BMC medical education
May 29, 2025
BACKGROUND: Artificial intelligence (AI) has gained significant attention and progress in various scientific fields, especially medicine. Since its introduction in the 1950s, AI has advanced remarkably, supporting innovations like diagnostic tools an...
Medical students' knowledge, attitudes, and practices toward generative artificial intelligence in Egypt 2024: a Cross-Sectional study.
BMC medical education
May 28, 2025
BACKGROUND: Generative artificial intelligence (generative AI) has revolutionized the healthcare system for medical students and their educational process worldwide. Several studies assessed its efficacy in improving medical studies learning, and oth...
Artificial Intelligence Tools for Preconception Cardiomyopathy Screening Among Women of Reproductive Age.
Annals of family medicine
May 27, 2025
PURPOSE: Identifying cardiovascular disease before conception and in early pregnancy can better inform obstetric cardiovascular care. Our main objective was to evaluate the diagnostic performance of artificial intelligence (AI)-enabled digital tools ...
Application of generative adversarial networks in the restoration of blurred optical coherence tomography images caused by optical media opacity in eyes.
BMJ open ophthalmology
May 26, 2025
PURPOSE: To assess the application of generative adversarial networks (GANs) to restore the blurred optical coherence tomography (OCT) images caused by optical media opacity in eyes.
Assessing ChatGPT-4's performance on the US prosthodontic exam: impact of fine-tuning and contextual prompting vs. base knowledge, a cross-sectional study.
BMC medical education
May 23, 2025
BACKGROUND: Artificial intelligence (AI), such as ChatGPT-4 from OpenAI, has the potential to transform medical education and assessment. However, its effectiveness in specialized fields like prosthodontics, especially when comparing base to fine-tun...
Deep learning-based automatic differentiation of acute angle closure with or without zonulopathy using ultrasound biomicroscopy: a comparison of diagnostic performance with ophthalmologists.
BMJ open ophthalmology
May 22, 2025
OBJECTIVE: This study aims to develop ultrasound biomicroscopy (UBM)-based artificial intelligence (AI) models for preoperative differentiation of acute angle closure (AAC) with or without zonulopathy and to compare their comprehensive diagnostic per...
Diagnostic performance of actigraphy in Alzheimer's disease using a machine learning classifier - a cross-sectional memory clinic study.
Alzheimer's research & therapy
May 21, 2025
BACKGROUND: Movement patterns, activity levels and circadian rhythm are altered in Alzheimer's disease (AD) and can be assessed by actigraphy using wearable sensors. We aimed to determine the diagnostic performance of actigraphy in AD in a memory cli...
Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices - a cross-sectional study.
BMC oral health
May 21, 2025
BACKGROUND: Rapid technological progress has made robotics (R) and artificial intelligence (AI) essential components of our everyday existence. In addition, robots designed for dental applications have been created. This study aimed to assess Egyptia...
Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.
BMJ health & care informatics
May 21, 2025
OBJECTIVES: The aim of this study was to compare the performances of residents and ChatGPT in answering validated questions and assess paediatric surgery residents' acceptance, perceptions and readiness to integrate artificial intelligence (AI) into ...
Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.
JMIR cancer
May 21, 2025
BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shared prostate cancer (PrCA) screening decisions, but the information produced by these tools sometimes lack quality or credibility. "Prostate Cancer Inf...
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