AI-led diagnostics to enhance patient outcomes and reduce burdmlHealth360 has signed a Memorandum of Understanding (MoU) with the Government of Madhya Pradesh to introduce 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.
Mr. Kumar Surender Sinwar, Founder & CEO, mlHealth360 said, “This collaboration allows us to take a meaningful step toward integrating AI into mainstream public healthcare delivery. Our approach goes beyond deploying technology. We are focused on ensuring that it fits naturally into existing clinical workflows and delivers real value to healthcare professionals. By working in high-volume district hospital environments, we are able to test the scalability and reliability of our solutions where the need is most critical. We believe this initiative will help establish a strong foundation for wider adoption of AI in healthcare, improving diagnostic access, reducing delays, and supporting better clinical outcomes across diverse and underserved populations.”
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 prioritization 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 centers. This is likely to lower the burden on patients, improve turnaround times for radiology reports, and strengthen last-mile healthcare delivery across underserved regions.
Dr. Narendra Gupta from the Health Department, Madhya Pradesh “Our priority is to continuously strengthen the quality and accessibility of healthcare services across the state, particularly at the district level. This partnership enables us to introduce advanced diagnostic support systems that can enhance the capabilities of our medical professionals and improve patient care. By leveraging AI in radiology, we aim to reduce delays in diagnosis, ensure more accurate clinical assessments, and minimize the need for patients to travel to higher-level facilities. The initiative also supports our broader vision of using technology to build a more efficient and future-ready healthcare system that can respond effectively to evolving public health needs.”
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. This partnership represents a significant milestone for mlHealth360 in its effort to expand AI-powered healthcare solutions within India’s public health ecosystem. It provides an opportunity to validate its technology in high-volume settings while advancing its broader vision of making quality diagnostics accessible beyond urban centers. For the Government of Madhya Pradesh, the collaboration reflects a continued focus on leveraging innovation to build a more responsive, efficient, and technology-enabled healthcare system.
