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Khushboo H. Trivedi,
Dr. Hiren Kumar Thakor,
- Assistant Professor, Department of Computer Engineering, Noble University, Junagadh, Gujarat, India
- Associate Professor, Department of Computer Engineering, Noble University, Junagadh, Gujarat, India
Abstract
According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on humanity can be minimized. We examine how AI-enabled integrated medicine might improve comprehensive healthcare monitoring and cancer treatment control systems. The foundation of this comprehensive approach is the integration of various treatment modalities, such as radiotherapy, chemotherapy, immunotherapy, targeted therapy, hormone therapy, surgical procedures, palliative care, integrative medicine, precision medicine, stem cell transplantation, photodynamic therapy, radiofrequency ablation, CAR-T cell therapy, angiogenesis inhibitors, phototherapy, and electron-chemotherapy. Rapid advancements in artificial intelligence (AI) have demonstrated its potential to revolutionize biomedical cancer investigation by providing cutting-edge approaches to cancer detection, treatment, and patient care in general.
Keywords: Patient data, Remote Monitoring, AI in medicine, Cancer diagnosis, Oncology, Prediction, Treatment
[This article belongs to Journal of Microwave Engineering and Technologies ]
Khushboo H. Trivedi, Dr. Hiren Kumar Thakor. Towards smart cancer care – AI enhanced monitoring and intervention. Journal of Microwave Engineering and Technologies. 2025; 12(01):38-44.
Khushboo H. Trivedi, Dr. Hiren Kumar Thakor. Towards smart cancer care – AI enhanced monitoring and intervention. Journal of Microwave Engineering and Technologies. 2025; 12(01):38-44. Available from: https://journals.stmjournals.com/jomet/article=2025/view=193287
References
1. Patient-facing cancer mobile apps that enable patient reported outcome data to be collected: A systematic review of content, functionality, quality, and ability to integrate with electronic health records. Author: Amy Vercell, Norina Gasteiger, Janelle Yorke, Dawn Dowding, Article 104931
2. IOT-based healthcare system for cancer diagnosis May 2023 DOI:10.1729/Journal.34193 Authors: Ishaan Sinha Chandigarh University Vanshika Tonk
3. Real time remote symptom monitoring during chemotherapy for cancer: European multicentre randomised controlled trial (eSMART) Roma Maguire 1, Lisa McCann 2, Affiliations Expand PMID: 34289996 PMCID: PMC8293749 DOI: 10.1136/bmj.n1647
4. Developing a real-time electronic symptom monitoring system for patients after discharge following cancer-related surgery BMC cancer research article author Avery et al. BMC Cancer (2019) 19:463 https://doi.org/10.1186/s12885-019-5657-6
5. Physical aspects of a real-time tumor-tracking system for gated radiotherapy. International Journal of Radiation Oncology*Biology*Physics Volume 48, Issue 4, 1 November 2000, Pages 1187-1195
6. Huang, C. Y., & Yang, M. C. (2020). Empirical investigation of factors influencing consumer intention to use an artificial intelligence-powered mobile application for weight loss and health management. Telemedicine and e-Health. https://doi.org/10.1089/tmj.2020.0056
7. Gaikwad, S. (2021). I study artificial intelligence in healthcare. In Proceedings of the 7th International Conference on Advanced … IEEE. https://doi.org/10.1109/ICADV.2021
8. N Bala. (2023). Identify brain stroke in severity and symptoms in sex differences using AIML. In Proceedings of the 3rd International Conference on Technological … IEEE. https://doi.org/10.1109/ICT.2023.10
9. Youth fitness, exercise and health: There is much to be done CB Corbin – Research Quarterly for Exercise and Sport, 1987 – Taylor & Francis
10. Applications of artificial neural networks in health care organizational decision-making: A scoping review N Shahid, T Rappon, W Berta – PloS one, 2019 – journals.plos.org
11. Responsible AI for digital health: a synthesis and a research agenda C Trocin, P Mikalef, Z Papamitsiou… – Information Systems …, 2023 – Springer
12. Application of artificial intelligence in physical education: a systematic review T Zhou, X Wu, Y Wang, Y Wang, S Zhang – Education and Information …, 2023 – Springer

Journal of Microwave Engineering and Technologies
| Volume | 12 |
| Issue | 01 |
| Received | 24/12/2024 |
| Accepted | 03/01/2025 |
| Published | 09/01/2025 |
| Publication Time | 16 Days |
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