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Future Science OA Volume 8, 2022 - Issue 4
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Review

An Overview of Artificial Intelligence in Oncology

Eduardo Farina1 Department of Radiology, Federal University of São Paulo, SP 04021-001, Brazil, Diagnósticos da America SA (Dasa), 05425-020, BrazilORCID Iconhttps://orcid.org/0000-0002-3935-6077
ORCID Icon,
Jacqueline J Nabhen2 School of Medicine, Federal University of Paraná, Curitiba, PR, 80060-000, BrazilORCID Iconhttps://orcid.org/0000-0001-5655-6719
ORCID Icon,
Maria Inez Dacoregio3 School of Medicine, State University of Centro-Oeste, Guarapuava, PR, 85040-167, BrazilORCID Iconhttps://orcid.org/0000-0003-0358-6652
ORCID Icon,
Felipe Batalini4 Department of Medicine, Division of Medical Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USAORCID Iconhttps://orcid.org/0000-0003-3354-308X
ORCID Icon &
Fabio Y Moraes5 Department of Oncology, Division of Radiation Oncology, Queen's University, Kingston, ON, K7L 3N6, CanadaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3407-9215
ORCID Icon
Article: FSO787 | Received 11 Jun 2021, Accepted 19 Jan 2022, Published online: 10 Feb 2022

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Jürgen Bajorath. (2022) Artificial Intelligence in Interdisciplinary Life Science and Drug Discovery Research. Future Science OA 8:4.
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Induni N Weerarathna, Aahash R Kamble & Anurag Luharia. (2023) Artificial Intelligence Applications for Biomedical Cancer Research: A Review. Cureus.
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Nitin Rane, Saurabh Choudhary & Jayesh Rane. (2023) Towards Autonomous Healthcare: Integrating Artificial Intelligence (AI) for Personalized Medicine and Disease Prediction. SSRN Electronic Journal.
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