Computer Aided Diagnostic System for ACL

Artificial intelligence based solution for detection of ACL injury in a patient.

About Anterior Cruciate Ligament

The anterior cruciate ligament (ACL) is one of the key ligaments that help stabilize your knee joint. The ACL connects your thighbone (femur) to your shinbone (tibia). It's most commonly torn during sports that involve sudden stops and changes in direction — such as basketball, soccer, tennis and volleyball.

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ACL Statistics

The anterior cruciate ligament (ACL) is the most commonly injured knee ligament. In the United States there are between 100,000 and 200,000 ACL ruptures per year, with an annual incidence in the general population of approximately 1 in 3500, although the actual incidence may be higher . Soccer was found to be the most common sport associated with knee injuries accounting for 30.6% of the injuries followed by kabaddi (20.9%). The most common mechanism was non-contact injury (64.4%). Only 39.8% of the athletes returned to sport.

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Our Work

We have developed a lightweight Computer Aided Diagnostic System with an aim of easing the weary task of detection of ACL injury and to enable practical use of our model in remote and rural areas where high computation power and network maybe deficient.

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