Researchers from the Indian Institute of Science (IISc) Bengaluru, in collaboration with Aster-CMI Hospital, have revolutionised the diagnosis of Carpal Tunnel Syndrome (CTS).
“CTS results in numbness, tingling or pain in the wrist area. It is one of the most common nerve-related disorders, specifically affecting individuals who perform repetitive hand movements.”
Enter the AI tool, a marvel in medical imaging that utilises a Machine Learning model based on a transformer architecture akin to the one powering ChatGPT.
Led by Karan R Gujarati, a former MTech student at the Department of Computational and Data Sciences at IISc, the research team faced the challenge of interpreting ultrasound images.
A standout feature of this tool is its real-time functionality, allowing it to instantly measure the cross-sectional area of the median nerve — a critical factor in diagnosing CTS.
The tool has already undergone a pilot trial, where it works in conjunction with traditional ultrasound machines, offering doctors an enhanced view and analysis of the median nerve.