Image of 3D hip replacement model, courtesy of RSIP Vision

RSIP Vision, Israeli global leaders in artificial intelligence (AI), image processing technology and computer vision release AI-based total hip replacement solution.

The AI algorithm creates a 3-D model of the patient’s hip to design an exact replacement. The algorithm is designed to make surgical planning more accurate and efficient by using complex segmentation and landmark detection.

Due to the complexity of the hip, even the tiniest of flaws in the implant design could cause negative long term effects to the patient’s posture, limit mobility and cause chronic pain to the point where additional surgery may be necessary.

Dr. Rabeeh Fares, a radiologist at Sourasky Medical Centre in Tel Aviv states:

“ THA [total hip arthroplasty] became very common procedure nowadays, it is performed daily in most medical centers. Recovery and rehabilitation depend on planning the procedure and selecting the perfect implant, which is tailor made for each unique patient. This is time consuming and at the same time crucial for the success of the operation. From our perspective, a fully automated algorithm for segmentation of a diseased joint has become mandatory in our daily practice as it is far more accurate and time saving in comparison with a manual method.”

In iData’s most recent report on the U.S. Market Report Suite for Orthopedic Soft Tissue Repair, the U.S. market was estimated to be valued at $1.7 billion in 2019. It is expected to increase at a CAGR of 5% to reach $2.4 billion.

The analysts at iData have found hip arthroscopy be the fastest-growing segment of the total orthopedic soft tissue repair market. Factors contributing to its growth include recent advances and improved imaging technology resulting in more precise diagnostics, and increasing numbers of hip labral tear repairs in both athletes due to injury and elderly population typically for degenerative disorders and chronic diseases.

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For Further Information

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