Yandex B2B Tech, in partnership with the Yandex School of Data Analysis and St. Petersburg State Pediatric Medical University, has launched a groundbreaking AI solution for assessing brain development in infants under 12 months. This neural network automates the analysis of MRI scans, reducing processing time from days to mere minutes, while achieving over 90% accuracy in distinguishing gray and white matter. The tool supports early diagnosis and rehabilitation planning for conditions like cerebral palsy, which affects 2-3 out of every 1000 live births in India. Traditional MRI interpretation is challenging due to low contrast in infant brains, making this innovation critical for timely interventions. Available as open-source code on GitHub, the AI solution is designed for easy adoption by Indian healthcare institutions, significantly improving diagnostic accuracy, speeding up analysis, and enhancing clinical throughput. This development underscores the potential of AI in advancing early childhood disability diagnostics and rehabilitation strategies.
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Yandex Unveils Open-Source AI Tool that Accurately Detects Early Signs of Infant Cerebral Palsy with Over 90% Precision

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