DeepSpine provides AI powered quantification and analysis tool for lumbar spine MRI studies
DeepTek, a health tech startup in the Radiology AI space announced the global launch of DeepSpine – an AI powered lumbar spine quantification and metrics tool designed to analyse MRI lumbar spine images. The tool was launched at the Radiological Society of North America (RSNA) annual meeting in Chicago, USA.
DeepSpine provides AI powered quantification and analysis tool for lumbar spine MRI studies and can assist radiologists, technologists, orthopedic surgeons and physio experts to get objective automated quantification and other document of lumbar spine, adding value to the radiology reports and decongesting the radiology workflow.
Dr Amit Kharat – Radiologist and Co Founder, DeepTek says, “The lumbar spine MRI quantification and metrics tool can derive metrics from MRI studies such as Vertebral Body Heights, Disc Bulge Classification, Foraminal Stenosis, Listhesis, Canal Stenosis and various spine angles. This can help get deep insights in treatment planning and progress monitoring. The tool can be a great value add to the ecosystem of health care workers managing low back pain”.
DeepTek has has strategic equity investment from TATA Capital Healthcare Fund II, NTT DATA (a leading global IT innovator with a large medical imaging business in the USA), Nobori Ltd. (Japan’s leading Radiology solutions company), Doctor-Net Inc. (Japan’s largest teleradiology company) and a few other institutional