Year: 2025
Type: article
Abstract: : This paper introduces an AI platform designed to improve personalized cancer care and treatment planning. The platform employs advanced machine learning algorithms to analyze patient information, including genetic data, medical history, and clinical results, to generate tailored treatment recommendations. By integrating diverse data sources, the system enables oncologists to take more accurate and information-based decisions on the treatment pathway while optimizing the process, minimizing risks, and side effects.It integrates well with the existing systems of healthcare, using predictive analytics to forecast treatment responses and adapt plans as the disease progresses, whereas the AI platform continually learns from new data, making better recommendations over time, and ensuring that ongoing treatment stays updated with current research as well as the individual patient's needs. The platform strives to revolutionize oncology by delivering personal, accurate, and data-informed treatment plans. It has the potential to improve clinical outcomes while reducing the burden on patients, thereby streamlining cancer care and, ultimately, enhancing the quality of the treatment process.
Author: Aryan Chaturvedi
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410726334