The evolving landscape: Role of artificial intelligence in cancer detection
Artificial intelligence (AI) has played a major role in recent developments in healthcare, particularly in cancer diagnosis. This review investigated the dynamic role of AI in the detection of cancer and provides insights into the fundamental contributions of AI in the revolutionization of cancer de...
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| Format: | Article |
| Language: | English |
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AIMS Press
2024-05-01
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| Series: | AIMS Bioengineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/bioeng.2024009 |
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| author | Praveen Kumar Sakshi V. Izankar Induni N. Weerarathna David Raymond Prateek Verma |
| author_facet | Praveen Kumar Sakshi V. Izankar Induni N. Weerarathna David Raymond Prateek Verma |
| author_sort | Praveen Kumar |
| collection | DOAJ |
| description | Artificial intelligence (AI) has played a major role in recent developments in healthcare, particularly in cancer diagnosis. This review investigated the dynamic role of AI in the detection of cancer and provides insights into the fundamental contributions of AI in the revolutionization of cancer detection methodologies, focusing on the role of AI in radiology and medical imaging and highlighting AI's advancements in enhancing accuracy and efficiency in identifying cancerous lesions. Furthermore, it explained the indispensable role of pathology and histopathology in cancer diagnosis, emphasizing AI's potential to augment traditional methods and improve diagnostic precision. Genomics and personalized medicine were explored as integral components of cancer detection, illustrating how AI facilitates tailored treatment strategies by analyzing vast genomic datasets. Additionally, the discussion encompassed clinical decision support systems, explaining their utility in aiding healthcare professionals with evidence-based insights for more informed decision-making in cancer detection and management. Finally, the review addressed the challenges and future directions in the integration of AI into cancer detection practices, highlighting the need for continued research and development to overcome existing limitations and realize the full potential of AI-driven solutions in combating cancer. |
| format | Article |
| id | doaj-art-c801f7061cd0432c92c87d9734e1cd67 |
| institution | Kabale University |
| issn | 2375-1495 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Bioengineering |
| spelling | doaj-art-c801f7061cd0432c92c87d9734e1cd672025-01-24T01:28:36ZengAIMS PressAIMS Bioengineering2375-14952024-05-0111214717210.3934/bioeng.2024009The evolving landscape: Role of artificial intelligence in cancer detectionPraveen Kumar0Sakshi V. Izankar1Induni N. Weerarathna2David Raymond3Prateek Verma4Department of Computer Science and Medical Engineering, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (Deemed To Be University), Wardha, Maharashtra 442001, IndiaDepartment of Computer Science and Design, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (Deemed To Be University), Wardha, Maharashtra 442001, IndiaDepartment of Biomedical Sciences, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research (Deemed To Be University), Wardha, Maharashtra, 442001, IndiaDepartment of Computer Science and Medical Engineering, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (Deemed To Be University), Wardha, Maharashtra 442001, IndiaDepartment of Artificial Intelligence and Machine Learning, Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (Deemed To Be University), Wardha, Maharashtra 442001, IndiaArtificial intelligence (AI) has played a major role in recent developments in healthcare, particularly in cancer diagnosis. This review investigated the dynamic role of AI in the detection of cancer and provides insights into the fundamental contributions of AI in the revolutionization of cancer detection methodologies, focusing on the role of AI in radiology and medical imaging and highlighting AI's advancements in enhancing accuracy and efficiency in identifying cancerous lesions. Furthermore, it explained the indispensable role of pathology and histopathology in cancer diagnosis, emphasizing AI's potential to augment traditional methods and improve diagnostic precision. Genomics and personalized medicine were explored as integral components of cancer detection, illustrating how AI facilitates tailored treatment strategies by analyzing vast genomic datasets. Additionally, the discussion encompassed clinical decision support systems, explaining their utility in aiding healthcare professionals with evidence-based insights for more informed decision-making in cancer detection and management. Finally, the review addressed the challenges and future directions in the integration of AI into cancer detection practices, highlighting the need for continued research and development to overcome existing limitations and realize the full potential of AI-driven solutions in combating cancer.https://www.aimspress.com/article/doi/10.3934/bioeng.2024009artificial intelligencedeep learningmachine learningcancer detection |
| spellingShingle | Praveen Kumar Sakshi V. Izankar Induni N. Weerarathna David Raymond Prateek Verma The evolving landscape: Role of artificial intelligence in cancer detection AIMS Bioengineering artificial intelligence deep learning machine learning cancer detection |
| title | The evolving landscape: Role of artificial intelligence in cancer detection |
| title_full | The evolving landscape: Role of artificial intelligence in cancer detection |
| title_fullStr | The evolving landscape: Role of artificial intelligence in cancer detection |
| title_full_unstemmed | The evolving landscape: Role of artificial intelligence in cancer detection |
| title_short | The evolving landscape: Role of artificial intelligence in cancer detection |
| title_sort | evolving landscape role of artificial intelligence in cancer detection |
| topic | artificial intelligence deep learning machine learning cancer detection |
| url | https://www.aimspress.com/article/doi/10.3934/bioeng.2024009 |
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