The Centre for Development of Advanced Computing (C-DAC) and AIIMS New Delhi developed iOncology.ai, an indigenous AI-powered platform to assist in treating female cancers.

This development aims to reduce mortality rates associated with late-stage detection. By integrating diverse medical data, the tool provides clinicians with a comprehensive view of a patient's condition to speed up decision-making.

The platform was showcased on May 28, 2026 [2], during the Digital India ‘Ask Our Experts’ event in New Delhi. The system is designed to integrate pathology reports, imaging, laboratory results, and clinical histories into a single interface. This consolidation allows for more accurate early detection, and streamlined treatment planning for patients with breast and ovarian cancers.

Medical professionals in India face significant challenges with ovarian cancer due to its tendency to be detected late. Similarly, breast cancer represents a substantial public health burden, accounting for roughly 27% [1] of all female cancers in India.

Unlike many AI tools developed using Western datasets, iOncology.ai was trained specifically on data from Indian patients. This localization ensures that the AI accounts for regional biological variations, and clinical patterns specific to the Indian population.

The collaboration between C-DAC and AIIMS New Delhi leverages both computational expertise and clinical experience. The resulting tool is intended to aid doctors in diagnosing malignancies more quickly and tailoring treatment plans to the individual needs of the patient.

“iOncology.ai was trained specifically on data from Indian patients.”

The creation of iOncology.ai represents a shift toward 'precision medicine' tailored to specific ethnic and regional demographics. Because AI performance often depends on the diversity of its training data, using indigenous Indian patient data may reduce diagnostic errors that occur when Western-trained models are applied to different populations.