Artificial Intelligence: Knowledge and Attitude Among Lebanese Medical Students
Open accessAbstract
Background Artificial intelligence (AI) has taken on a variety of functions in the medical field, and research has proven that it can address complicated issues in various applications. It is unknown whether Lebanese medical students and residents have a detailed understanding of this concept, and little is known about their attitudes toward AI. Aim This study fills a critical gap by revealing the knowledge and attitude of Lebanese medical students toward AI. Methods A multi-centric survey targeting 365 medical students from seven medical schools across Lebanon was conducted to assess their knowledge of and attitudes toward AI in medicine. The survey consists of five sections: the first part includes socio-demographic variables, while the second comprises the 'Medical Artificial Intelligence Readiness Scale' for medical students. The third part focuses on attitudes toward AI in medicine, the fourth assesses understanding of deep learning, and the fifth targets considerations of radiology as a specialization. Results There is a notable awareness of AI among students who are eager to learn about it. Despite this interest, there exists a gap in knowledge regarding deep learning, albeit alongside a positive attitude towards it. Students who are more open to embracing AI technology tend to have a better understanding of AI concepts (p=0.001). Additionally, a higher percentage of students from Mount Lebanon (71.6%) showed an inclination towards using AI compared to Beirut (63.2%) (p=0.03). Noteworthy are the Lebanese University and Saint Joseph University, where the highest proportions of students are willing to integrate AI into the medical field (79.4% and 76.7%, respectively; p=0.001). Conclusion It was concluded that most Lebanese medical students might not necessarily comprehend the core technological ideas of AI and deep learning. This lack of understanding was evident from the substantial amount of misinformation among the students. Consequently, there appears to be a significant demand for the inclusion of AI technologies in Lebanese medical school courses.
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Similar studies among medical students from different Arab countries also showed low levels of knowledge in basic AI concepts.
“Similar studies among medical students from different Arab countries also showed low levels of knowledge in basic AI concepts.”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [25]
Our results on positive attitudes toward AI were consistent with previous studies from Arab countries including Lebanon, Syria, Jordan, Egypt, and the KSA.
“Our results were consistent with previous studies from Arab countries including Lebanon [25], , Syria [19], Jordan [20], Egypt [33], and the KSA [26].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [25]
The same Lebanese study found 50.9% were unable to differentiate any of the functions/features of AI-related tools, principles of AI algorithms, or their applications in healthcare.
“and 50.9% were unable to differentiate any of the functions/features of AI-related tools, principles of AI algorithms, or their applications in healthcare [25].”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [25]
A multi-center study involving medical students from Lebanon (N = 365) found 45.8% were unable to define basic AI concepts.
“A multi-center study involving medical students from Lebanon (N = 365) found 45.8% were unable to define the basic AI concepts”
From Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey (2024) · cites this paper as [25]
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- Authors
- Daher, O. A., Dabbousi, A. A., Chamroukh, R., Saab, A. Y., Al Ayoubi, A. R., & Salameh, P.
- Affiliations
- Lebanese University (LB)
- Corresponding author
- Dabbousi, Ahmad Ayman
- Venue
- Cureus
- Published
- 2024-01-01
- Volume
- 16
- Issue
- 1
- Pages
- e51466-e51466
- ISSN
- 2168-8184 (ISSN-L)
- PMC
- PMC10829838
- OpenAlex
- W4390484403
- Cited by
- 16
- References
- 28
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 3
- FWCI
- 1.50
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Cureus (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence in healthcare, medical students, attitudes toward AI, deep learning
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