AIdentyfy
About AIdentyfy
The work made for AIdentyfy runs to 1 verified project since 2018 — mostly Development, backend and App.
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Non-invasive Implant Identification Made Possible with Artificial Intelligence
Infinum built a mobile app that can identify prosthetic implants with up to 99% certainty. Missing data hinders prosthetic implant identification If you underwent a hip replacement today, an X-ray image of your implant, along with its make and model would be electronically recorded in your digital health record. This information would be critical years down the road, when the implant eventually requires maintenance or replacement. However, patients who received a prosthetic implant prior to electronic records often do not possess this important data, leaving doctors with no choice but to circulate X-ray images to different prosthetic manufacturers for manual identification. This cumbersome process can lead to longer surgery times, preventable procedures, and other serious complications. Technology sets the new pace The AIDentyfy mobile app, conceived by a team of orthopedic surgeons at Mount Sinai Hospital, is able to identify prosthetic type and manufacturer within seconds and with up to 99% certainty. This is accomplished by cross-referencing an implant’s X-ray image against a database of implant silhouettes. Based on machine learning algorithms, the app becomes better at implant identification with every image uploaded into the system. Credits: Agency: Infinum https://infinum.com/