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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...
Perspectives and experiences of health sciences academics regarding ChatGPT: A qualitative study.
Medical teacher
Oct 11, 2024
PURPOSE: This study aimed to explore the perspectives and experiences of healthcare academics regarding the impact of ChatGPT, an artificial intelligence (AI)-supported language model, on education and research.
Quality of birth care and risk factors of length of stay after birth: A machine learning approach.
The journal of obstetrics and gynaecology research
Sep 16, 2024
AIM: Length of stay (LOS) is an outcome measure and is assumed to be related to quality. The objective of this study is to examine the quality of birth care and risk factors associated with LOS after birth.
Elevating hourly PM forecasting in Istanbul, Türkiye: Leveraging ERA5 reanalysis and genetic algorithms in a comparative machine learning model analysis.
Chemosphere
Aug 13, 2024
Rapid urbanization and industrialization have intensified air pollution, posing severe health risks and necessitating accurate PM predictions for effective urban air quality management. This study distinguishes itself by utilizing high-resolution ERA...
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