Nagent AI
Case Study

Empowering Cancer Care

19th Feb 2026
2 mins Minutes read
How an oncologist developed a Clinical Decision Support Agent to assist in treatment planning and early diagnosis in high-volume medical centers.
Empowering Cancer Care

Overview

Dr. Gaurav, a leading Radiation Oncologist, leveraged Nagent AI’s Agent Builder and its Structured Learning Program to create a groundbreaking Clinical Decision Support Agent (CDSA) for oncology. The agent is designed to assist doctors in developing countries by improving early diagnosis, optimizing treatment plans, and personalizing cancer care while saving valuable time.

The Challenge

Cancer care involves analyzing vast amounts of patient data, from medical records and imaging scans to genomic reports. This made consistent, data-driven decision-making time-consuming and resource-intensive, especially in high-volume treatment centers where doctors manage thousands of patients.

The Solution

Using Nagent AI’s no-code Agent Builder, Dr. Gaurav created an AI agent that integrates into clinical workflows to process patient records and scans, summarize cases into structured clinical briefs, and recommend treatment options based on the latest global research. The system learns continuously from doctor feedback and ensures both accuracy and ethical compliance through domain-supervised agentic architecture.

The Result

The CDSA is currently being evaluated by a panel of leading oncologists and is slated for mass deployment following FDA approval.

Impact

This initiative showcases how subject matter experts, not engineers, can build transformative AI tools. Dr. Gaurav’s Clinical Decision Support Agent stands as a milestone in AI-assisted cancer care, proving that with the right platform, medical innovation can emerge directly from the frontlines of patient care.