Aster CMI launches AI tool to efficiently diagnose carpal tunnel syndrome

Aster CMI Hospital has launched an AI-powered tool to help clinicians efficiently diagnose carpal tunnel syndrome (CTS).

The tool is developed by Dr Lokesh Bathala, a lead consultant in neurology at Aster CMI, with technical support from Prof Phaneendra Yalavarthy from the Indian Institute of Science’s (IISc) Department of Computational and Data Sciences.

The tool will automatically identify the median nerve in the hand during ultrasound imaging, flagging any swelling and other concerns with a 95% accuracy rate, saving time for clinicians.

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