Artificial Intelligence in Biomedical Sciences: A Scoping Review
BackgroundArtificial intelligence (AI) is increasingly playing important roles in healthcare diagnosis, treatment, monitoring, and prevention of diseases. Despite this widespread implementation of AI in biomedical sciences, it has yet to be characterized.AimThe aim of this scoping review is to explo...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-08-01
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| Series: | British Journal of Biomedical Science |
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| Online Access: | https://www.frontierspartnerships.org/articles/10.3389/bjbs.2025.14362/full |
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| author | Rasha Abu-El-Ruz Ali Hasan Dima Hijazi Ovelia Masoud Atiyeh M. Abdallah Susu M. Zughaier Maha Al-Asmakh Maha Al-Asmakh |
| author_facet | Rasha Abu-El-Ruz Ali Hasan Dima Hijazi Ovelia Masoud Atiyeh M. Abdallah Susu M. Zughaier Maha Al-Asmakh Maha Al-Asmakh |
| author_sort | Rasha Abu-El-Ruz |
| collection | DOAJ |
| description | BackgroundArtificial intelligence (AI) is increasingly playing important roles in healthcare diagnosis, treatment, monitoring, and prevention of diseases. Despite this widespread implementation of AI in biomedical sciences, it has yet to be characterized.AimThe aim of this scoping review is to explore AI in biomedical sciences. Specific objectives are to synthesize six scopes addressing the characteristics of AI in biomedical sciences and to provide in-depth understanding of its relevance to education.MethodsThis scoping review has been developed according to Arksey and O’Malley frameworks. PubMed, Embase, and Web of Science databases were searched using broad search terms without restrictions. Citations were imported into EndNote for screening and extraction. Data were categorized and synthesized to define six scopes discussing AI in biomedical sciences.ResultsA total of 2,249 articles were retrieved for screening and extraction, and 192 articles were included in this review. Six scopes were synthesized from the extracted data: Scope (1): AI in biomedical sciences by decade, highlighting the increasing number of publications on AI in biomedical sciences. Scope (2): AI in biomedical sciences by region, showing that publications on AI in biomedical sciences mainly originate from high-income countries, particularly the USA. Scope (3): AI in biomedical sciences by model, identifying machine learning as the most frequently reported model. Scope (4): AI in biomedical sciences by discipline, with microbiology the discipline most commonly associated with AI in biomedical sciences. Scope (5): AI in biomedical sciences education, which was limited to only six studies, indicating a gap in research on the educational application of AI in biomedical sciences. Scope (6): Opportunities and limitations of AI in biomedical sciences, where major reported opportunities include efficiency, accuracy, universal applicability, and real-world application. Limitations include; model complexity, limited applicability, and algorithm robustness.ConclusionAI has generally been under characterized in the biomedical sciences due to variability in AI models, disciplines, and perspectives of applicability. |
| format | Article |
| id | doaj-art-cfea375ddd6f4cdaa89a41bd1ce3bf25 |
| institution | DOAJ |
| issn | 2474-0896 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | British Journal of Biomedical Science |
| spelling | doaj-art-cfea375ddd6f4cdaa89a41bd1ce3bf252025-08-20T03:02:36ZengFrontiers Media S.A.British Journal of Biomedical Science2474-08962025-08-018210.3389/bjbs.2025.1436214362Artificial Intelligence in Biomedical Sciences: A Scoping ReviewRasha Abu-El-Ruz0Ali Hasan1Dima Hijazi2Ovelia Masoud3Atiyeh M. Abdallah4Susu M. Zughaier5Maha Al-Asmakh6Maha Al-Asmakh7Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, QatarSchool of Arts and Sciences, Lebanese American University, Beirut, LebanonDepartment of Biological and Environmental Sciences, College of Art and Science, Qatar University, Doha, QatarDepartment of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, QatarDepartment of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, QatarCollege of Medicine, QU Health, Qatar University, Doha, QatarDepartment of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, QatarBiomedical Research Center, Qatar University, Doha, QatarBackgroundArtificial intelligence (AI) is increasingly playing important roles in healthcare diagnosis, treatment, monitoring, and prevention of diseases. Despite this widespread implementation of AI in biomedical sciences, it has yet to be characterized.AimThe aim of this scoping review is to explore AI in biomedical sciences. Specific objectives are to synthesize six scopes addressing the characteristics of AI in biomedical sciences and to provide in-depth understanding of its relevance to education.MethodsThis scoping review has been developed according to Arksey and O’Malley frameworks. PubMed, Embase, and Web of Science databases were searched using broad search terms without restrictions. Citations were imported into EndNote for screening and extraction. Data were categorized and synthesized to define six scopes discussing AI in biomedical sciences.ResultsA total of 2,249 articles were retrieved for screening and extraction, and 192 articles were included in this review. Six scopes were synthesized from the extracted data: Scope (1): AI in biomedical sciences by decade, highlighting the increasing number of publications on AI in biomedical sciences. Scope (2): AI in biomedical sciences by region, showing that publications on AI in biomedical sciences mainly originate from high-income countries, particularly the USA. Scope (3): AI in biomedical sciences by model, identifying machine learning as the most frequently reported model. Scope (4): AI in biomedical sciences by discipline, with microbiology the discipline most commonly associated with AI in biomedical sciences. Scope (5): AI in biomedical sciences education, which was limited to only six studies, indicating a gap in research on the educational application of AI in biomedical sciences. Scope (6): Opportunities and limitations of AI in biomedical sciences, where major reported opportunities include efficiency, accuracy, universal applicability, and real-world application. Limitations include; model complexity, limited applicability, and algorithm robustness.ConclusionAI has generally been under characterized in the biomedical sciences due to variability in AI models, disciplines, and perspectives of applicability.https://www.frontierspartnerships.org/articles/10.3389/bjbs.2025.14362/fullbiomedical sciencesartificial intelligencescoping reviewclinicalNAACLS |
| spellingShingle | Rasha Abu-El-Ruz Ali Hasan Dima Hijazi Ovelia Masoud Atiyeh M. Abdallah Susu M. Zughaier Maha Al-Asmakh Maha Al-Asmakh Artificial Intelligence in Biomedical Sciences: A Scoping Review British Journal of Biomedical Science biomedical sciences artificial intelligence scoping review clinical NAACLS |
| title | Artificial Intelligence in Biomedical Sciences: A Scoping Review |
| title_full | Artificial Intelligence in Biomedical Sciences: A Scoping Review |
| title_fullStr | Artificial Intelligence in Biomedical Sciences: A Scoping Review |
| title_full_unstemmed | Artificial Intelligence in Biomedical Sciences: A Scoping Review |
| title_short | Artificial Intelligence in Biomedical Sciences: A Scoping Review |
| title_sort | artificial intelligence in biomedical sciences a scoping review |
| topic | biomedical sciences artificial intelligence scoping review clinical NAACLS |
| url | https://www.frontierspartnerships.org/articles/10.3389/bjbs.2025.14362/full |
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