Current State of Artificial Intelligence (AI) in Oncology: A Review

  • Aqib Ali Department of Computer Science, Concordia College Bahawalpur, Pakistan
  • Samreen Naeem Department of Computer Science, Superior College Bahawalpur, Pakistan
  • Sania Anam Department of Information Technology, Islamia University Bahawalpur, Bahawalpur, Pakistan
  • Muhammad Munawar Ahmed Department of Information Technology, Islamia University Bahawalpur, Bahawalpur, Pakistan
DOI: https://doi.org/10.32350/cto.31.01
Keywords: artificial intelligence (AI), deep learning, machine learning (ML), oncology

Abstract

Abstract Views: 34

Artificial intelligence (AI) has made significant strides in recent years toward resolving a wide range of biological issues, including a number of occurrences connected to cancer. Deep learning is an adaptable sector of AI that enables the automatic extraction of features. It is increasingly being used in various fields of cancer research, both scientific and clinical. In this study, several current applications of AI in oncology, including the situations in which deep learning has effectively addressed intractable disputes, are discussed. This study also discusses the challenges that need to be surmounted before such an application of AI may be implemented more broadly. Similarly, it brings to light resources and data sets that can assist in maximizing the potential of AI. Essential insights in oncology may be generated based on the development of novel methodologies and uses of AI, making it possible for substantial changes to be made to clinical practice.

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Published
2023-06-15
How to Cite
Ali, A., Naeem, S., Anam, S., & Ahmed, M. M. (2023). Current State of Artificial Intelligence (AI) in Oncology: A Review. Current Trends in OMICS, 3(1), 01-17. https://doi.org/10.32350/cto.31.01
Issue
Vol 3 No 1 (2023): Spring
Section
Articles

Copyright (c) 2023 Samreen Naeem

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