Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Güllü Aydın Yağcıoğlu; Lütfiye Akkurt; Senay Cerezci Duygu

Article Details

Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Authors:

Güllü Aydın Yağcıoğlu | Lütfiye Akkurt | Senay Cerezci Duygu

Publisher:

Dokuz Eylul University

Main Topics:

Health Services and Systems (Other)

Journal:

Journal of Basic and Clinical Health Sciences Vol.9 Issue 3, pp.476-484

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001359214

pISSN:

2564-7288

Keywords:

Abstract:

 Purpose: Artificial Intelligence AI is one of todays most popular topics in healthcare, and it is clear that it will continue to be of interest in the future. The aim of the study was to determine the attitudes and perceptions of health sciences academicians towards artificial intelligence. Material and Methods: This cross-sectional study was conducted using an online questionnaire. Baseline information was obtained from the participants. A 20-question Likert questionnaire prepared by the researchers and the General Attitude Towards Artificial Intelligence Scale GAAIS were used to determine the attitudes and perceptions of health science academicians towards artificial intelligence. Results: The survey was completed by 212 academicians working in health sciences at 41 universities in Türkiye. Most of academicians 72.6 were familiar with the term AI applications, with 61.8 using it in English translation when writing articles, 79.8 believing that AI should be used in healthcare, 74.5 believing that AI is essential for the educational advancement of healthcare students, and 55.2 agreeing that AI applications improved the spelling of articles. According to both the questions prepared by the researchers and the results of the GAAIS, the attitudes and perceptions of these academics towards AI were optimistic. However, they also have concerns about some issues such as data reliability and accuracy of the information obtained. Conclusion: As a result, current findings revealed that most of the academicians in Türkiye use AI applications.

 Purpose: Artificial Intelligence AI is one of todays most popular topics in healthcare, and it is clear that it will continue to be of interest in the future. The aim of the study was to determine the attitudes and perceptions of health sciences academicians towards artificial intelligence. Material and Methods: This cross-sectional study was conducted using an online questionnaire. Baseline information was obtained from the participants. A 20-question Likert questionnaire prepared by the researchers and the General Attitude Towards Artificial Intelligence Scale GAAIS were used to determine the attitudes and perceptions of health science academicians towards artificial intelligence. Results: The survey was completed by 212 academicians working in health sciences at 41 universities in Türkiye. Most of academicians 72.6 were familiar with the term AI applications, with 61.8 using it in English translation when writing articles, 79.8 believing that AI should be used in healthcare, 74.5 believing that AI is essential for the educational advancement of healthcare students, and 55.2 agreeing that AI applications improved the spelling of articles. According to both the questions prepared by the researchers and the results of the GAAIS, the attitudes and perceptions of these academics towards AI were optimistic. However, they also have concerns about some issues such as data reliability and accuracy of the information obtained. Conclusion: As a result, current findings revealed that most of the academicians in Türkiye use AI applications.

 Purpose: Artificial Intelligence AI is one of todays most popular topics in healthcare, and it is clear that it will continue to be of interest in the future. The aim of the study was to determine the attitudes and perceptions of health sciences academicians towards artificial intelligence. Material and Methods: This cross-sectional study was conducted using an online questionnaire. Baseline information was obtained from the participants. A 20-question Likert questionnaire prepared by the researchers and the General Attitude Towards Artificial Intelligence Scale GAAIS were used to determine the attitudes and perceptions of health science academicians towards artificial intelligence. Results: The survey was completed by 212 academicians working in health sciences at 41 universities in Türkiye. Most of academicians 72.6 were familiar with the term AI applications, with 61.8 using it in English translation when writing articles, 79.8 believing that AI should be used in healthcare, 74.5 believing that AI is essential for the educational advancement of healthcare students, and 55.2 agreeing that AI applications improved the spelling of articles. According to both the questions prepared by the researchers and the results of the GAAIS, the attitudes and perceptions of these academics towards AI were optimistic. However, they also have concerns about some issues such as data reliability and accuracy of the information obtained. Conclusion: As a result, current findings revealed that most of the academicians in Türkiye use AI applications.

 Purpose: Artificial Intelligence AI is one of todays most popular topics in healthcare, and it is clear that it will continue to be of interest in the future. The aim of the study was to determine the attitudes and perceptions of health sciences academicians towards artificial intelligence. Material and Methods: This cross-sectional study was conducted using an online questionnaire. Baseline information was obtained from the participants. A 20-question Likert questionnaire prepared by the researchers and the General Attitude Towards Artificial Intelligence Scale GAAIS were used to determine the attitudes and perceptions of health science academicians towards artificial intelligence. Results: The survey was completed by 212 academicians working in health sciences at 41 universities in Türkiye. Most of academicians 72.6 were familiar with the term AI applications, with 61.8 using it in English translation when writing articles, 79.8 believing that AI should be used in healthcare, 74.5 believing that AI is essential for the educational advancement of healthcare students, and 55.2 agreeing that AI applications improved the spelling of articles. According to both the questions prepared by the researchers and the results of the GAAIS, the attitudes and perceptions of these academics towards AI were optimistic. However, they also have concerns about some issues such as data reliability and accuracy of the information obtained. Conclusion: As a result, current findings revealed that most of the academicians in Türkiye use AI applications.

Article Details

Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Authors:

Güllü Aydın Yağcıoğlu | Lütfiye Akkurt | Senay Cerezci Duygu

Publisher:

Dokuz Eylul University

Main Topics:

Health Services and Systems (Other)

Journal:

Journal of Basic and Clinical Health Sciences Vol.9 Issue 3, pp.476-484

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001359214

pISSN:

2564-7288

Artificial intelligence

health science

academicians

attitudes

perceptions

Issues

Article Details

Attitudes and Perceptions of Health Sciences Academicians on Artificial Intelligence

Authors: Güllü Aydın Yağcıoğlu | Lütfiye Akkurt | Senay Cerezci Duygu

Publisher: Dokuz Eylul University

Main Topics: Health Services and Systems (Other)

Journal: Journal of Basic and Clinical Health Sciences Vol.9 Issue 3, pp.476-484

Document Type: Article

Publication Date: 9/2025

Document Language: English

Document ID (Org No.): 2001359214

pISSN: 2564-7288

Artificial intelligence

health science

academicians

attitudes

perceptions

Issues

Authors:

Güllü Aydın Yağcıoğlu | Lütfiye Akkurt | Senay Cerezci Duygu

Publisher:

Dokuz Eylul University

Main Topics:

Health Services and Systems (Other)

Journal:

Journal of Basic and Clinical Health Sciences Vol.9 Issue 3, pp.476-484

Document Type:

Article

Publication Date:

9/2025

Document Language:

English

Document ID (Org No.):

2001359214

pISSN:

2564-7288