Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations]
Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. We assessed the use of ChatGPT and other Artifici...
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F1000 Research Ltd
2025-01-01
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| Online Access: | https://mededpublish.org/articles/14-245/v2 |
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| author | Job Kuteesa Faith Oguttu Ian Guyton Munabi Aloysius Gonzaga Mubuuke Sarah Kiguli Ritah Nantale David Mukunya Elizabeth Ajalo Frank Kayemba Jonathan Babuya Kennedy Pangholi Amelia Margaret Namiiro Suzan Langoya Akuu Steven Ekak Ronald Tweheyo Kirsten Nantongo Brenda Nakitto Milton W. Musaba Joseph Luwaga Mpagi |
| author_facet | Job Kuteesa Faith Oguttu Ian Guyton Munabi Aloysius Gonzaga Mubuuke Sarah Kiguli Ritah Nantale David Mukunya Elizabeth Ajalo Frank Kayemba Jonathan Babuya Kennedy Pangholi Amelia Margaret Namiiro Suzan Langoya Akuu Steven Ekak Ronald Tweheyo Kirsten Nantongo Brenda Nakitto Milton W. Musaba Joseph Luwaga Mpagi |
| author_sort | Job Kuteesa |
| collection | DOAJ |
| description | Background ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. We assessed the use of ChatGPT and other Artificial Intelligence (AI) tools among medical faculty in Uganda. Methods We conducted a descriptive cross-sectional study among medical faculty at four public universities in Uganda from November to December 2023. Participants were recruited consecutively. We used a semi-structured questionnaire to collect data on participants’ socio-demographics and the use of AI tools such as ChatGPT. Our outcome variable was the use of ChatGPT and other AI tools. Data were analyzed in Stata version 17.0. Results We recruited 224 medical faculty, majority [75% (167/224)] were male. The median age (interquartile range) was 41 years (34–50). Almost all medical faculty [90% (202/224)] had ever heard of AI tools such as ChatGPT. Over 63% (120/224) of faculty had ever used AI tools. The most commonly used AI tools were ChatGPT (56.3%) and Quill Bot (7.1%). Fifty-six faculty use AI tools for research writing, 37 for summarizing information, 28 for proofreading work, and 28 for setting exams or assignments. Forty faculty use AI tools for non-academic purposes like recreation and learning new skills. Faculty older than 50 years were 40% less likely to use AI tools compared to those aged 24 to 35 years (Adjusted Prevalence Ratio (aPR):0.60; 95% Confidence Interval (CI): [0.45, 0.80]). Conclusion The use of ChatGPT and other AI tools was high among medical faculty in Uganda. Older faculty (>50 years) were less likely to use AI tools compared to younger faculty. Training on AI use in education, formal policies, and guidelines are needed to adequately prepare medical faculty for the integration of AI in medical education. |
| format | Article |
| id | doaj-art-86677d80b9bc4bbc983178697d02537e |
| institution | Kabale University |
| issn | 2312-7996 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | MedEdPublish |
| spelling | doaj-art-86677d80b9bc4bbc983178697d02537e2025-02-05T01:00:00ZengF1000 Research LtdMedEdPublish2312-79962025-01-011422377Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations]Job Kuteesa0Faith Oguttu1Ian Guyton Munabi2Aloysius Gonzaga Mubuuke3Sarah Kiguli4Ritah Nantale5David Mukunya6Elizabeth Ajalo7Frank Kayemba8https://orcid.org/0009-0001-2296-0200Jonathan Babuya9https://orcid.org/0000-0001-7586-3386Kennedy Pangholi10Amelia Margaret Namiiro11Suzan Langoya Akuu12Steven Ekak13https://orcid.org/0009-0003-5927-3038Ronald Tweheyo14https://orcid.org/0009-0001-4529-9574Kirsten Nantongo15Brenda Nakitto16Milton W. Musaba17Joseph Luwaga Mpagi18Department of Surgery, Mulago National Referral Hospital, Kampala, Central Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Human Anatomy, Makerere University School of Health Sciences, Kampala, Central Region, UgandaDepartment of Radiology, Makerere University School of Health Sciences, Kampala, Central Region, UgandaDepartment of Pediatrics and Child Health, Makerere University School of Health Sciences, Kampala, Central Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Pediatrics and Child Health, Makerere University School of Health Sciences, Kampala, Central Region, UgandaMedicine, Mbarara University of Science and Technology Faculty of Medicine, Mbarara, Western Region, UgandaFaculty of Health Sciences, Gulu University Faculty of Science, Gulu, Northern Region, UgandaDepartment of Community and Public Health, Busitema University-Mbale Campus, Tororo, Eastern Region, UgandaDepartment of Pediatrics and Child Health, Makerere University School of Health Sciences, Kampala, Central Region, UgandaFaculty of Health Sciences, Gulu University Faculty of Science, Gulu, Northern Region, UgandaObstetrics and Gynaecology, Busitema University -Mbale Campus, Mbale, UgandaDepartment of Microbiology and Immunology, Busitema University-Mbale Campus, Mbale, UgandaBackground ChatGPT is a large language model that uses deep learning techniques to generate human-like texts. ChatGPT has the potential to revolutionize medical education as it acts as an interactive virtual tutor and personalized learning assistant. We assessed the use of ChatGPT and other Artificial Intelligence (AI) tools among medical faculty in Uganda. Methods We conducted a descriptive cross-sectional study among medical faculty at four public universities in Uganda from November to December 2023. Participants were recruited consecutively. We used a semi-structured questionnaire to collect data on participants’ socio-demographics and the use of AI tools such as ChatGPT. Our outcome variable was the use of ChatGPT and other AI tools. Data were analyzed in Stata version 17.0. Results We recruited 224 medical faculty, majority [75% (167/224)] were male. The median age (interquartile range) was 41 years (34–50). Almost all medical faculty [90% (202/224)] had ever heard of AI tools such as ChatGPT. Over 63% (120/224) of faculty had ever used AI tools. The most commonly used AI tools were ChatGPT (56.3%) and Quill Bot (7.1%). Fifty-six faculty use AI tools for research writing, 37 for summarizing information, 28 for proofreading work, and 28 for setting exams or assignments. Forty faculty use AI tools for non-academic purposes like recreation and learning new skills. Faculty older than 50 years were 40% less likely to use AI tools compared to those aged 24 to 35 years (Adjusted Prevalence Ratio (aPR):0.60; 95% Confidence Interval (CI): [0.45, 0.80]). Conclusion The use of ChatGPT and other AI tools was high among medical faculty in Uganda. Older faculty (>50 years) were less likely to use AI tools compared to younger faculty. Training on AI use in education, formal policies, and guidelines are needed to adequately prepare medical faculty for the integration of AI in medical education.https://mededpublish.org/articles/14-245/v2ChatGPT medical faculty Bing Bard Uganda generative AIeng |
| spellingShingle | Job Kuteesa Faith Oguttu Ian Guyton Munabi Aloysius Gonzaga Mubuuke Sarah Kiguli Ritah Nantale David Mukunya Elizabeth Ajalo Frank Kayemba Jonathan Babuya Kennedy Pangholi Amelia Margaret Namiiro Suzan Langoya Akuu Steven Ekak Ronald Tweheyo Kirsten Nantongo Brenda Nakitto Milton W. Musaba Joseph Luwaga Mpagi Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] MedEdPublish ChatGPT medical faculty Bing Bard Uganda generative AI eng |
| title | Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] |
| title_full | Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] |
| title_fullStr | Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] |
| title_full_unstemmed | Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] |
| title_short | Utilisation of ChatGPT and other Artificial Intelligence tools among medical faculty in Uganda: a cross-sectional study [version 2; peer review: 1 approved, 2 approved with reservations] |
| title_sort | utilisation of chatgpt and other artificial intelligence tools among medical faculty in uganda a cross sectional study version 2 peer review 1 approved 2 approved with reservations |
| topic | ChatGPT medical faculty Bing Bard Uganda generative AI eng |
| url | https://mededpublish.org/articles/14-245/v2 |
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