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Title:
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GENOMIC DATA ANALYSIS:
CONCEPTUAL FRAMEWORK FOR THE APPLICATION
OF ARTIFICIAL INTELLIGENCE IN PERSONALIZED
TREATMENT OF ONCOLOGY PATIENTS |
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Author(s):
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Renata Kelemenic-Drazin and Ljerka Luic |
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ISBN:
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978-989-8704-34-4 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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233 |
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Last Page:
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236 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Oncology is one of the most dynamic branches of medicine. As a result of numerous oncology studies, there has been a
significant increase in scientific and clinical data that the human brain cannot store. Advances in artificial intelligence
(AI) technology have led to its rapid clinical application. In this paper, we wanted to see the role of the use of artificial
intelligence (AI) in oncology. We conducted an unsystematic search of databases (Pub Med, MEDLINE, and Google
Scholar) using the keywords: artificial intelligence, deep learning, machine learning, oncology, personalized medicine.
From a large number of articles available to us, we singled out review articles and clinical trial results according to their
clarity and innovation regarding the use of artificial intelligence in oncology. Of particular importance to us was the
ability to apply their results in everyday clinical work. The possibilities of using artificial intelligence in oncology are
innumerable. Thus, AI can be used for diagnostic purposes (malignant screening, histopathology, and molecular
diagnostics), therapeutic purposes (personalized treatment, prediction of treatment side effects and response to therapy,
treatment decisions) as well as for prognostic purposes (risk stratification, 5-year survival, monitoring). The
implementation of AI in clinical practice presents new challenges for clinicians. Namely, in the era of evidence-based and
patient-centered medicine, they will have to master statistical as well as computer skills in addition to clinical ones.
Therefore, it is necessary to start educating future doctors about the importance of AI in medicine as soon as possible. |
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