This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (9) Artificial Intelligence (2129) Innovations and Technology in Cancer Care (531) Viewpoints on Innovations in Cancer Care and Research (21) Innovations and Technology in Cancer Research (43) Innovations in Cancer Diagnostic and Decision Support (109) Mobile Apps for Cancer Care and Cancer Prevention and Screening (265) Teleoncology (28)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57276, first published .
Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Artificial Intelligence as a Potential Catalyst to a More Equitable Cancer Care

Authors of this article:

Sebastian Garcia-Saiso1 Author Orcid Image ;   Myrna Marti1 Author Orcid Image ;   Karina Pesce2 Author Orcid Image ;   Silvana Luciani1 Author Orcid Image ;   Oscar Mujica1 Author Orcid Image ;   Anselm Hennis1 Author Orcid Image ;   Marcelo D'Agostino1 Author Orcid Image
Article Authors Cited by (13) Tweetations (2) Metrics

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  1. Manyazewal T, Davey G, Hanlon C, Newport M, Hopkins M, Wilburn J, Bakhiet S, Mutesa L, Semahegn A, Assefa E, Fekadu A. Innovative technologies to address neglected tropical diseases in African settings with persistent sociopolitical instability. Nature Communications 2024;15(1) View
  2. Cui Z, Suo C, Zhao Y, Wang S, Zhao M, Chen R, Lu L, Zhang T, Chen X. Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study. JMIR Cancer 2025;11:e66655 View
  3. Irwani , Saleh M, Bahrianoor . Digital Exclusion and Social Inequity: A Global Narrative Review of Access to Education, Healthcare, and the Digital Economy. Sinergi International Journal of Communication Sciences 2024;2(4):220 View
  4. Khan F, Ghasemi H. AI in clinical diagnostics: Is overreliance eroding clinical expertise?. PLOS Digital Health 2025;4(8):e0000959 View
  5. Kong W, Sun Y, Qin X, Zhu G, Zhu X, Kuang Z, Xiao Z, Li J. The Burden and Risk Factors of Gastric Cancer in Eastern Asia From 1990 to 2021: Longitudinal Observational Study of the Global Burden of Disease Study 2021. JMIR Cancer 2025;11:e75728 View
  6. Sevval K, Yusuke N. Artificial Intelligence in Healthcare: Enhancing Efficiency, Ensuring Equity, and Restoring Empathy. Journal of Big Data Research 2025;1(3):20 View
  7. Meinisasti R. Balancing Innovation and Ethics: A Narrative Review of Artificial Intelligence in Healthcare. Medicor : Journal of Health Informatics and Health Policy 2024;2(4):235 View
  8. Gupta S, Sharma S. Optimized artificial neural networks for breast cancer diagnosis prediction. Discover Applied Sciences 2025;7(10) View
  9. Wang M, Chang W, Zhang Y. Artificial Intelligence for the Diagnosis and Management of Cancers: Potentials and Challenges. MedComm 2025;6(11) View
  10. Saif N, Elkoumi A, Shaalan A. Use of artificial intelligence in oral radiology: a multicenter cross-sectional study in Egypt. BMC Oral Health 2025 View
  11. Inam S. A review of artificial intelligence for predicting climate driven infectious disease outbreaks to enhance global health resilience. Discover Public Health 2025;22(1) View

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  1. Kumar V. 2025 Seventh International Conference on Computational Intelligence andCommunication Technologies (CCICT). Advances in Artificial Intelligence for Oncology: A Comprehensive Review of Techniques, Challenges, and Applications View