Bengaluru-based startup mlHealth360 has signed a Memorandum of Understanding (MoU) with the Government of Madhya Pradesh to introduce artificial intelligence (AI)-enabled radiology solutions across public healthcare facilities in the state.
This strategic collaboration aims to strengthen diagnostic capabilities by improving accuracy, reducing reporting delays, and enabling faster, more informed clinical decision-making in real-world healthcare settings.
As part of the initial phase, the solution will be deployed across ten district hospitals, serving as a pilot for potential statewide expansion based on performance and learnings.
The initiative brings together advanced AI-led diagnostics with existing hospital infrastructure, ensuring seamless integration with systems such as PACS and RIS while maintaining continuity in clinical workflows. It also enables the use of data-driven insights to support more informed public health planning and resource allocation.
At the core of the deployment is mlHealth360 proprietary Scaida AI platform, which is designed to detect and triage abnormalities in CT scans, provide real-time decision support to clinicians, and assist in generating standardized, consistent reports. The platform is built for scalability, with cloud-based deployment, remote expert connectivity, and data residency within India, making it well-suited for high-volume, resource-constrained environments.
The initiative is expected to significantly improve patient outcomes by enabling early and accurate diagnosis of critical conditions such as stroke, hemorrhage, trauma, and tumors. AI-driven prioritisation of cases will help clinicians focus on urgent cases more effectively, while access to specialist-level insights within district hospitals will reduce dependency on referrals to tertiary care centres.
The rollout will take place in a phased manner over the coming months, beginning with site readiness, followed by system integration and clinician training, and culminating in full operational deployment and evaluation.
