AIMC Topic: Turkey
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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...
ChatGPT-4 Omni's superiority in answering multiple-choice oral radiology questions.
BMC oral health
Feb 1, 2025
OBJECTIVES: This study evaluates and compares the performance of ChatGPT-3.5, ChatGPT-4 Omni (4o), Google Bard, and Microsoft Copilot in responding to text-based multiple-choice questions related to oral radiology, as featured in the Dental Specialty...
Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals' perspectives.
BMC medical ethics
Dec 21, 2024
BACKGROUND: Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for various purposes, including resource allocation. While these systems promise improved efficiency and decision...
A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.
International journal of medical informatics
Dec 7, 2024
This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-resistant Klebsiella pneumoniae infection in intensive care units using the Extreme Gradient Boosting (XGBoost) algorithm, a form of artificial intellig...
Attitudes of nurses toward artificial intelligence: A multicenter comparison.
Work (Reading, Mass.)
Nov 29, 2024
BackgroundArtificial intelligence (AI) is transforming medical practices with rapidly developing technologies and the innovative solutions it provides. In order for this transformation to be successfully integrated into healthcare services, healthcar...
Assessing nursing students' e-health literacy and foresights to global health challenges during COVID-19 restrictions: A cross-sectional study with a machine learning approach.
Nurse education in practice
Nov 2, 2024
AIM: This study aims to assess the e-health literacy and foresights to global health challenges of nursing students during the COVID19 restrictions.
Relationship Between Individual Innovativeness Levels and Attitudes Toward Artificial Intelligence Among Nursing and Midwifery Students.
Computers, informatics, nursing : CIN
Nov 1, 2024
The aim of this study is to explore the connection between individual innovativeness levels and attitudes toward artificial intelligence among nursing and midwifery students. Data were collected from 500 nursing and midwifery students studying at a u...
Tapping Into Awareness: Assessing Nursing Students' Water Consumption Behaviors and Sustainability Perceptions Through a Cross-Sectional Study With Machine Learning Approach.
Public health nursing (Boston, Mass.)
Oct 27, 2024
INTRODUCTION: Investigating water consumption behaviors and perceptions of water sustainability among nursing students is crucial for effective resource management. This study employs machine learning (ML) techniques to analyze these factors in detai...
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