Artificial Intelligence in Cancer: A SWOT Analysis

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dc.authoridGülşah Torkay / 0000-0002-6803-494X
dc.authoridNouran Fadlallah / 0000-0003-0951-2128
dc.authoridAhmet Karagöz / 0000-0001-9527-6912
dc.authoridMesut Canlı / 0000-0003-2686-7801
dc.authoridEzgi Saydam / 0000-0001-5483-7111
dc.authoridAyşenur Mete / 0000-0002-8999-7454
dc.authoridFurkan Kızılışık / 0000-0003-0750-3754
dc.authoridHakan Darici / 0000-0001-9393-554X
dc.authoridYusuf Yeşil / 0000-0001-5932-5617
dc.authorscopusidHakan Darici / 22333489600
dc.authorwosidHakan Darici / AAG-4316-2019
dc.contributor.authorTorkay, Gülşah
dc.contributor.authorFadlallah, Nouran
dc.contributor.authorKaragöz, Ahmet
dc.contributor.authorCanlı, Mesut
dc.contributor.authorSaydam, Ezgi
dc.contributor.authorMete, Ayşenur
dc.contributor.authorKızılışık, Furkan
dc.contributor.authorDarici, Hakan
dc.contributor.authorYeşil, Yusuf
dc.date.accessioned2025-04-18T06:51:28Z
dc.date.available2025-04-18T06:51:28Z
dc.date.issued31 Aralık 2024
dc.departmentİstinye Üniversitesi, Lisansüstü Eğitim Enstitüsü, Sağlık Bilimleri, Kök Hücre ve Doku Mühendisliği Programı
dc.description.abstractCancer, a collection of maladies that has undergone extensive examination over centuries, remains a formidable challenge. Despite the array of available pharmacological and therapeutic interventions, the intricate molecular dynamics and heterogeneity of cancer continue to challenge the scientific community. Artificial Intelligence (AI) emerges as a promising avenue, offering the potential for expedited, precise diagnostics devoid of human expertise. Additionally, AI facilitates the tailoring of patient-specific therapeutic strategies targeting various facets of cancer, spanning macroscopic to microscopic levels. Nonetheless, it is imperative to scrutinize the potential benefits and limitations of AI technologies in this context. This review undertakes a comprehensive Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis of AI's application in cancer. An extensive compilation of AI applications encompasses predictive modeling, diagnostic capabilities, prognostic assessments, and personalized therapeutic modalities, spanning genomic analyses to individualized treatment regimens. The synthesis of evidence suggests that the advantages of AI outweigh its drawbacks; nevertheless, obstacles to its widespread integration persist.
dc.identifier.citationTorkay, G., Fadlallah, N., Karagöz, A., Canlı, M., et al. (2024). Artificial Intelligence in Cancer: A SWOT Analysis. Journal of AI, 8(1), 107-137. https://doi.org/10.61969/jai.1469589
dc.identifier.doi10.61969/jai.1469589
dc.identifier.endpage137
dc.identifier.issue1
dc.identifier.startpage107
dc.identifier.urihttps://doi.org/10.61969/jai.1469589
dc.identifier.urihttps://dergipark.org.tr/en/pub/jai/issue/82707/1469589
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6382
dc.identifier.volume8
dc.institutionauthorDarici , Hakan
dc.institutionauthoridHakan Darici / 0000-0001-9393-554X
dc.language.isoen
dc.publisherİzmir Academy Association
dc.relation.ispartofJournal Of Al
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial intelligence
dc.subjectcancer
dc.subjectdeep learning
dc.subjectmachine learning
dc.subjectprecision oncology
dc.subjectSWOT analysis
dc.titleArtificial Intelligence in Cancer: A SWOT Analysis
dc.typeArticle

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