Aarthi Scans & Labs, India’s largest integrated diagnostics provider, has completed the nationwide rollout of BoneXpert, an AI-powered bone age analysis solution, across all 100 of its centres.
The company operates more than 75 MRI scanners, 76 CT scanners and 20 processing laboratories, serving over 8,000 patients daily across major cities including Chennai, Hyderabad, Mumbai, Delhi, Pune, Kolkata and Bengaluru.
BoneXpert is a globally recognised, CE-approved technology developed by a Europe-based AI med-tech company and is widely regarded as a gold standard for automated bone age assessment. The solution enables objective, accurate and highly reproducible analysis by eliminating inter- and intra-observer variability, ensuring consistent results from the same X-ray across different locations and time points.
The technology plays a key role in the evaluation of growth and pubertal disorders, diagnosis and management of endocrine conditions, and long-term monitoring of skeletal growth and treatment response. By leveraging artificial intelligence, BoneXpert delivers faster turnaround times while maintaining high clinical precision, strengthening diagnostic confidence for clinicians and patients alike.
Using a single left-hand X-ray, BoneXpert provides a comprehensive, multi-method assessment that includes Greulich-Pyle (GP) bone age, Tanner-Whitehouse (TW2/TW3) bone age, carpal bone age, Bone Age Standard Deviation Score (SDS) and Bone Health Index (BHI). This depth of analysis supports early identification of constitutional growth delay and endocrine abnormalities, enabling timely clinical intervention.
With the pan-India implementation of BoneXpert, Aarthi Scans & Labs ensures uniform access to advanced bone age assessment across its network. The rollout is expected to support paediatricians, endocrinologists and orthopaedic specialists with reliable, clinically actionable insights, while enhancing long-term treatment monitoring.
The initiative underscores Aarthi Scans & Labs’ focus on clinical excellence, innovation and patient-centric care, and marks a significant step in expanding the adoption of validated AI technologies in diagnostic imaging in India.
Also Read