Harnessing AI for Enhanced Cancer Care: Current Applications and Future Prospects

Authors

  • Subhajit Roy Brainware University Author
  • De Debapriya Brainware University Author

Keywords:

AI in oncology, Cancer diagnostics, Treatment planning, Medical imaging, Predictive analytics, Personalized medicine, Drug discovery, Symptom monitoring

Abstract

Artificial intelligence (AI) is profoundly transforming the field of oncology, offering significant advancements in cancer care, including diagnostics, treatment planning, and patient management. Currently, AI applications in oncology span several critical areas. Advanced diagnostic tools leverage AI algorithms, particularly deep learning, to analyze medical images like radiographs, CT scans, and MRIs, enabling early and accurate cancer detection. Predictive analytics and AI models are used to foresee patient outcomes by examining extensive data, including genetic information, tumor characteristics, and clinical records, thereby enabling personalized treatment plans. AI's role in personalized medicine is also notable; by integrating data from various sources, AI recommends specific treatment regimens tailored to individual patients, enhancing treatment efficacy and reducing adverse effects. Furthermore, AI aids in optimizing radiation therapy by improving dose distribution to target tumors more effectively while sparing healthy tissues. In drug discovery, AI accelerates the process by analyzing vast datasets to identify potential therapeutic targets and predict new compounds' efficacy, thus speeding up the introduction of new cancer treatments. Additionally, AI tools are improving patient management by monitoring symptoms, managing treatment side effects, and providing psychological support through AI-driven chatbots and mobile applications.

Looking to the future, AI holds immense potential in oncology, promising to integrate multidisciplinary platforms for comprehensive cancer care, address the challenges of rare tumors, and support drug discovery and development further. As AI technology evolves, it is poised to transform oncology, making cancer care more efficient, effective, and personalized, ultimately leading to better patient outcomes and a deeper understanding of cancer biology. These ongoing advancements underscore the potential of AI to significantly reduce the global burden of cancer and revolutionize the field of oncology.

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Published

30-12-2025

Issue

Section

Articles

How to Cite

Roy, S., & Debapriya, D. (2025). Harnessing AI for Enhanced Cancer Care: Current Applications and Future Prospects. Brainwave: A Multidisciplinary Journal, 6(4), 1186–1199. https://www.brainwareuniversity.ac.in/brainwave-papers/index.php/bamj/article/view/38