Moscow’s MosMedAI launches 18th medical AI tool to automate scoliosis detection

RUSSIA—Moscow has expanded its digital healthcare ecosystem through MosMedAI, the city’s AI-powered medical imaging platform, by launching its 18th AI service, designed to automatically detect and grade scoliosis on X-ray scans.

The new tool strengthens efforts to standardize diagnostic accuracy while easing pressure on radiologists facing growing workloads across Russia’s healthcare system.

MosMedAI now processes over one million imaging studies every month from medical institutions nationwide, reflecting its rapid integration into routine clinical practice and its expanding role in supporting regional hospitals with limited specialist capacity.

Automated scoliosis detection enhances radiology workflows

The newly introduced AI algorithm performs measurements that radiologists previously conducted manually, significantly reducing interpretation time and improving diagnostic consistency.

It also highlights suspected spinal abnormalities directly on X-ray images using visual markers, allowing clinicians to verify findings more efficiently and provide faster second opinions.

The system is designed to support, not replace, medical professionals by improving workflow accuracy and ensuring that subtle cases of spinal curvature are not overlooked during routine screening.

Scaling AI across Russia’s healthcare system

Moscow has positioned MosMedAI as a national platform for distributing advanced imaging technologies beyond the capital.

Since its broader rollout, regional healthcare facilities have gained access to AI tools that assist in analyzing chest X-rays, CT scans, mammography, fluorography, and brain imaging.

The addition of scoliosis detection brings the total number of active AI services to 18, reinforcing the platform’s multi-modality capabilities.

Authorities have emphasized that this model helps bridge disparities in diagnostic capacity between urban hospitals and smaller regional centers, where access to subspecialist radiologists remains limited.

Clinical integration and regulatory oversight

The expansion of AI in Moscow’s healthcare system began in 2020 under a structured clinical experiment focused on testing computer vision tools in medical imaging.

Since then, more than 200 AI solutions have participated in the program, gradually transitioning from pilot testing to real-world clinical deployment.

In 2023, Moscow introduced a compulsory medical insurance tariff for AI-supported double reading in breast cancer screening, further embedding artificial intelligence into routine healthcare financing.

All AI systems integrated into MosMedAI are registered as medical devices, ensuring compliance with national regulatory standards and patient safety requirements.

Expert Insights on Diagnostic Impact

Medical officials have highlighted the growing role of AI in supporting diagnostic decision-making.

According to the Center for Diagnostics and Telemedicine, which oversees the platform’s development, AI tools now serve as a reliable second opinion for radiologists by generating structured reports and visually marking potential pathology areas on imaging scans.

Experts note that timely scoliosis detection is essential to prevent progression and long-term complications, particularly among younger patients where early intervention is critical.

Recent healthcare commentary has also highlighted the growing reliance on AI-assisted imaging across Russian regions, where demand for radiology services continues to outpace specialist availability.

Platform growth and ongoing digital expansion

MosMedAI, developed under Moscow’s Department of Health, continues to evolve as a centralized digital infrastructure for medical image analysis across the country.

The Center for Diagnostics and Telemedicine, established in 1996, leads implementation efforts in collaboration with the city’s information technology department, focusing on workflow optimization, clinical research, and medical education.