RSIP Vision, a provider of AI solutions for medical image analysis, has introduced a new articular cartilage segmentation tool for sports medicine applications.
The new tool has been designed to facilitate the precise, non-invasive and automatic assessment of chondral lesions in MRI scans.
RSIP’s new software module holds the potential to allow rapid, accurate and deep learning-based segmentation of joint cartilage from MRI scans of hips, knees and ankles.
The company’s advanced medical imaging algorithms offer precise measurement of the location, geometry and boundaries of osteochondral lesions in MRI images.
Chondral lesions are mostly observed in young and active patients, including athletes.
The deep learning (DL) algorithms will be used by the new module to deal with MRI scans of cartilage in hip, knee and ankle joints.
The new solution, which is vendor-neutral and available to third-party MRI manufacturers and medical device vendors, allows physician operators to assess cartilage damage, select the optimal treatment option and follow-up postoperatively.
RSIP Vision stated that the new module is crucial in sports medicine, where cartilage damage is a common and debilitating problem among athletes from all fields.
Israel’s Tel Aviv Sourasky Medical Centre orthopaedic surgeon Dr Shai Factor said: “Analysing the parameters of the lesion and its boundaries allows the surgeon, along with the patient, to choose the ideal cartilage repair technique.
“Additionally, in cases where cartilage transfer is the chosen option, this technology will make it possible to map the donor cartilage area, as well, and plan the surgery in the best way that will lead to better outcomes.”
Last month, RSIP Vision unveiled a new surgical workflow analysis technology, which identifies individual stages of a surgical procedure and labels them in real-time.
