Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies

Year : 2026 | Volume : 15 | Issue : 02 | Page : 31 38
By

Khushboo H. Trivedi,

Hirenkumar Thakor,

  1. Assistant Professor and Ph. D. Scholar, Department of Computer Engineering, Noble University, Junagadh, Gujarat, India
  2. Associate Professor and Academic In-charge, Department of Computer Application, MCA College, Noble University, Junagadh, Gujarat, India

Abstract

Modern healthcare systems are being improved by artificial intelligence (AI) and machine learning (ML), particularly in the treatment of cancer. An AI-driven machine learning system for monitoring cancer patients in real time and offering tailored therapeutic methods is presented in this research. In order to track health issues in real time, the suggested system gathers ongoing health data from wearable sensors and integrates it with patient medical records. This data is analyzed by machine learning algorithms to spot anomalous changes and anticipate any health hazards early on. The system creates customized alerts and suggestions based on the condition of each patient based on the real-time analysis. This facilitates prompt action by medical personnel and enhances patient care. Prediction accuracy, response time, scalability, and dependability are some of the metrics used to assess the performance of the suggested system. The findings demonstrate that, in comparison to conventional monitoring techniques, the AI-based strategy enhances real-time monitoring, decreases delays in medical action, and promotes more individualized care. This multidisciplinary study supports the digital transformation of healthcare by integrating smart monitoring technology, healthcare analytics, and artificial intelligence. The suggested framework lessens the effort of medical personnel while increasing the effectiveness and caliber of cancer care. The study shows how AI-powered machine learning tools can be crucial to creating intelligent, sustainable healthcare solutions in the future.

Keywords: Artificial intelligence, machine learning, cancer patient monitoring, real-time health monitoring, personalized intervention, smart healthcare, digital health

[This article belongs to Research and Reviews: Journal of Oncology and Hematology ]

How to cite this article: Khushboo H. Trivedi, Hirenkumar Thakor. Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies. Research and Reviews: Journal of Oncology and Hematology. 2026; 15(02):31-38.
How to cite this URL: Khushboo H. Trivedi, Hirenkumar Thakor. Transforming Cancer Care Through AI-Driven Machine Learning: Real-Time Patient Monitoring and Personalized Intervention Strategies. Research and Reviews: Journal of Oncology and Hematology. 2026; 15(02):31-38. Available from: https://journals.stmjournals.com/rrjooh/article=2026/view=253701

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Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 02/02/2026
Accepted 10/06/2026
Published 31/08/2026
Publication Time 210 Days

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