About
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.
Challenge, approach, and impact
Preventing complications
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. We provided the complete software architecture – mobile, backend, and the integration of machine learning models via Amazon Web Services.
How we built
Testimonials
Anonymous
MD, Mount Sinai Hospital
“Infinum delivered an app that significantly streamlines surgical processes. Their team is responsive, has impressive technical expertise, and is committed to understanding our objectives.“
Team structure
Client team
***** *****
Product Owner
Project stakeholder
***** *****
Head of Orthopedic Surgery
Daily point of contact
The client stakeholders at Mount Sinai Hospital were working closely with the team at Infinum
Agency team
1 x iOS Developer
Production
1 x Backend Developer
Production
1 x Project Manager
Governance
1 x QA
Production