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The app prompts doctors to take a photo of a prosthetic’s X-ray using a smartphone. The image is run through an artificial neural network, cross-referencing the photo against a crowd-sourced database of implant silhouettes. Once the implant is identified by the machine learning models, cases are evaluated by verified surgical team members.

Powered by deep learning and cloud-based HIPAA-compliant case management, AIdentyfy is designed to save precious time. The app allows surgeons to spend less time on pre-operative planning. They can view upcoming surgeries and easily coordinate with surgical teams.


Saving precious time

Medical data is kept safe and can be accessed with biometric authentication. This provides a high level of security as required by HIPAA. Outside of the app, cases are shared through a HIPAA-compliant e-mail server.


Safe data and faster pre-operative planning

Infinum delivered an app that significantly streamlines surgical processes. Their team is responsive, has impressive technical expertise, and is committed to understanding our objectives.

JUN S. KIM

Anonymous

Learn how Infinum worked with Mount Sinai Hospital and how they can support your HealthTech product and team.

Infinum Success Story in HealthTech for Mount Sinai Hospital - A case study | 2024

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.


Preventing complications

The client stakeholders at Mount Sinai Hospital were working closely with the team at Infinum

AIdentyfy - AI-powered implant identification

Infinum

Providing a complete software architecture for an app which improves people's quality of lives, was an amazing experience.