Indian AI Platform iOncology.ai Gains Spotlight in BRICS Health Journal

An innovative artificial intelligence platform, iOncology.ai, developed by the All India Institute of Medical Sciences (AIIMS), New Delhi, and the Centre for Development of Advanced Computing (C-DAC), Pune, has been featured in a special issue of The BRICS Health Journal. The platform, supported by the Ministry of Electronics and Information Technology, was highlighted during the BRICS Summit held on September 12-13, underscoring its potential impact on cancer care in emerging economies.

AI-Driven Cancer Care Solutions

iOncology.ai is designed to integrate various aspects of cancer care, including early detection, risk stratification, treatment planning, and patient-data management. The platform aims to enhance cancer screening and diagnosis, thereby improving access to specialist care. According to a review titled “Transforming cancer care in emerging economies: India’s AI innovation,” authored by Ashok Sharma and colleagues from AIIMS and C-DAC, the platform's design aligns with India's broader digital health initiatives.

Global Health Implications

The review highlights the significant disparity in cancer care across BRICS nations, which account for over 40% of the global population and report approximately 9 million new cancer cases annually. iOncology.ai could play a crucial role in bridging these gaps by providing evidence-based, interoperable solutions tailored for resource-limited settings. Dr. Ashok Sharma emphasized the importance of BRICS collaboration in enhancing cancer prevention and treatment efforts.

Path to Clinical Validation

While iOncology.ai is still undergoing pilot-stage clinical validation, the platform has not yet been clinically validated. It is currently being evaluated in research settings, and prospective multicentre validation will be required to establish its diagnostic accuracy and clinical utility. The platform utilizes curated Indian clinical datasets and plans to incorporate genetic data to enhance its capabilities further. As it progresses, it aims to integrate with electronic health record systems, enhancing its utility in clinical environments.