AIMC Topic: Turkey
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Assessing the performance of ChatGPT-4o on the Turkish Orthopedics and Traumatology Board Examination.
Joint diseases and related surgery
Apr 5, 2025
OBJECTIVES: This study aims to assess the overall performance of ChatGPT version 4-omni (GPT-4o) on the Turkish Orthopedics and Traumatology Board Examination (TOTBE) using actual examinees as a reference point to evaluate and compare the performance...
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 ...
Leveraging large language models to mimic domain expert labeling in unstructured text-based electronic healthcare records in non-english languages.
BMC medical informatics and decision making
Mar 31, 2025
BACKGROUND: The integration of big data and artificial intelligence (AI) in healthcare, particularly through the analysis of electronic health records (EHR), presents significant opportunities for improving diagnostic accuracy and patient outcomes. H...
Investigation of the relationship between medical artificial intelligence readiness and individual innovativeness levels in nursing students.
Nurse education today
Mar 29, 2025
AIM: This study was conducted to identify nursing students' medical artificial intelligence readiness and individual innovativeness levels, to examine the relationship between these two concepts and to determine the variables that create a significan...
Psychometric properties and Turkish adaptation of the artificial intelligence attitude scale (AIAS-4): evidence for construct validity.
BMC psychology
Mar 25, 2025
Artificial intelligence (AI) attitude scales can be used to better evaluate the benefit and drawback cons of AI. This article consists of two different studies examining attitudes towards AI. In Study I (N = 370), the four-item Artificial Intelligenc...
Exploring the role of artificial intelligence in Turkish orthopedic progression exams.
Acta orthopaedica et traumatologica turcica
Mar 17, 2025
OBJECTIVE: The aim of this study was to evaluate and compare the performance of the artificial intelligence (AI) models ChatGPT-3.5, ChatGPT-4, and Gemini on the Turkish Specialization Training and Development Examination (UEGS) to determine their ut...
Predicting total healthcare demand using machine learning: separate and combined analysis of predisposing, enabling, and need factors.
BMC health services research
Mar 12, 2025
OBJECTIVE: Predicting healthcare demand is essential for effective resource allocation and planning. This study applies Andersen's Behavioral Model of Health Services Use, focusing on predisposing, enabling, and need factors, using data from the 2022...
Comparison of different dental age estimation methods with deep learning: Willems, Cameriere-European, London Atlas.
International journal of legal medicine
Feb 19, 2025
This study aimed to compare dental age estimates using Willems, Cameriere-Europe, London Atlas, and deep learning methods on panoramic radiographs of Turkish children. The dental ages of 1169 children (613 girls, 556 boys) who agreed to participate i...
BiFPN-enhanced SwinDAT-based cherry variety classification with YOLOv8.
Scientific reports
Feb 13, 2025
Accurate classification of cherry varieties is crucial for their economic value and market differentiation, yet their genetic diversity and visual similarity make manual identification challenging, hindering efficient agricultural and trade practices...
Performance of artificial intelligence on Turkish dental specialization exam: can ChatGPT-4.0 and gemini advanced achieve comparable results to humans?
BMC medical education
Feb 10, 2025
BACKGROUND: AI-powered chatbots have spread to various fields including dental education and clinical assistance to treatment planning. The aim of this study is to assess and compare leading AI-powered chatbot performances in dental specialization ex...
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