Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook
BackgroundArtificial 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, p...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2025.1475893/full |
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| author | Bassam Abdul Rasool Hassan Ali Haider Mohammed Souheil Hallit Souheil Hallit Souheil Hallit Diana Malaeb Hassan Hosseini Hassan Hosseini |
| author_facet | Bassam Abdul Rasool Hassan Ali Haider Mohammed Souheil Hallit Souheil Hallit Souheil Hallit Diana Malaeb Hassan Hosseini Hassan Hosseini |
| author_sort | Bassam Abdul Rasool Hassan |
| collection | DOAJ |
| description | BackgroundArtificial 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).ObjectiveThis 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.MethodsA 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.ConclusionThis 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. |
| format | Article |
| id | doaj-art-08f44493d9534d9dbe478a5bdc3407d1 |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-08f44493d9534d9dbe478a5bdc3407d12025-02-07T13:48:57ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-02-011510.3389/fonc.2025.14758931475893Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlookBassam Abdul Rasool Hassan0Ali Haider Mohammed1Souheil Hallit2Souheil Hallit3Souheil Hallit4Diana Malaeb5Hassan Hosseini6Hassan Hosseini7Department of Pharmacy, Al Rafidain University College, Baghdad, IraqSchool of Pharmacy, Monash University Malaysia, Subang Jaya, MalaysiaSchool of Medicine and Medical Sciences, Holy Spirit University of Kaslik, Jounieh, LebanonDepartment of Psychology, College of Humanities, Effat University, Jeddah, Saudi ArabiaApplied Science Research Center, Applied Science Private University, Amman, JordanCollege of Pharmacy, Gulf Medical University, Ajman, United Arab EmiratesInstitut Coeur et Cerveau de l’Est Parisien (ICCE), UPEC-University Paris-Est, Creteil, FranceRAMSAY SANTÉ, Hôpital Paul D’Egine (HPPE), Champigny sur Marne, FranceBackgroundArtificial 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).ObjectiveThis 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.MethodsA 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.ConclusionThis 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.https://www.frontiersin.org/articles/10.3389/fonc.2025.1475893/fullartificial intelligence (AI)machine learning (ML)deep learning (DL)chemotherapy developmentcancer diagnosiscancer treatment |
| spellingShingle | Bassam Abdul Rasool Hassan Ali Haider Mohammed Souheil Hallit Souheil Hallit Souheil Hallit Diana Malaeb Hassan Hosseini Hassan Hosseini Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook Frontiers in Oncology artificial intelligence (AI) machine learning (ML) deep learning (DL) chemotherapy development cancer diagnosis cancer treatment |
| title | Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook |
| title_full | Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook |
| title_fullStr | Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook |
| title_full_unstemmed | Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook |
| title_short | Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook |
| title_sort | exploring the role of artificial intelligence in chemotherapy development cancer diagnosis and treatment present achievements and future outlook |
| topic | artificial intelligence (AI) machine learning (ML) deep learning (DL) chemotherapy development cancer diagnosis cancer treatment |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2025.1475893/full |
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