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SYSTEMATIC REVIEW article

Front. Oncol.
Sec. Cancer Molecular Targets and Therapeutics
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1475893

Exploring the Role of Artificial Intelligence in Chemotherapy Development, Cancer Diagnosis, and Treatment: Present Achievements and Future Outlook

Provisionally accepted
Bassam Abdul Bassam Abdul 1*Ali Haider Mohammed Ali Haider Mohammed 2Souheil Hallit Souheil Hallit 3Diana Malaeb Diana Malaeb 4*Hassan Hosseini Hassan Hosseini 5
  • 1 Faculty of Pharmacy, Al Rafidain University College, Baghdad, Baghdad, Iraq
  • 2 School of Pharmacy, Monash University Malaysia, Bandar Sunway, Selangor Darul Ehsan, Malaysia
  • 3 Holy Spirit University of Kaslik, Jounieh, Mount Lebanon, Lebanon
  • 4 College of Pharmacy, Gulf Medical University, Ajman, United Arab Emirates
  • 5 Ramsay Santé Hôpital privé des Peupliers, Paris, France

The final, formatted version of the article will be published soon.

    Artificial intelligence (AI) has emerged as a transformative tool in oncology, offering promising applications in chemotherapy development, cancer diagnosis, and predicting chemotherapy response. Despite its potential, debates persist regarding the predictive accuracy of AI technologies, particularly machine learning (ML) and deep learning (DL).This review aims to explore the role of AI in forecasting outcomes related to chemotherapy development, cancer diagnosis, and treatment response, synthesizing current advancements and identifying critical gaps in the field.A comprehensive literature search was conducted across PubMed, Embase, Web of Science, and Cochrane databases up to 2023. Keywords included "Artificial Intelligence (AI)," "Machine Learning (ML)," and "Deep Learning (DL)" combined with "chemotherapy development," "cancer diagnosis," and "cancer treatment." Articles published within the last four years and written in English were included. The Prediction Model Risk of Bias Assessment tool was utilized to assess the risk of bias in the selected studies.This review underscores the substantial impact of AI, including ML and DL, on cancer diagnosis, chemotherapy innovation, and treatment response for both solid and hematological tumors. Evidence from recent studies highlights AI's potential to reduce cancer-related mortality by optimizing diagnostic accuracy, personalizing treatment plans, and improving therapeutic outcomes. Future research should focus on addressing challenges in clinical implementation, ethical considerations, and scalability to enhance AI's integration into oncology care.

    Keywords: Artificial intelligence (AI), Machine Learning (ML), deep learning (DL), chemotherapy development. cancer diagnosis, and cancer treatment

    Received: 04 Aug 2024; Accepted: 13 Jan 2025.

    Copyright: © 2025 Abdul, Mohammed, Hallit, Malaeb and Hosseini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Bassam Abdul, Faculty of Pharmacy, Al Rafidain University College, Baghdad, Baghdad, Iraq
    Diana Malaeb, College of Pharmacy, Gulf Medical University, Ajman, United Arab Emirates

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.