Development of a Proof of Concept for an AI-based software application for a Medtech project

Business Task

The Dysnix team signed a contract for the development of Proof of Concept for AI-based software application to recognize surgical instruments from the video stream. This application is to be a part of the interactive workflow management software for use during surgical operations. The developed demo became the basis for attracting investment to implement the project further - www.crunchbase.com/organization/explorer-surgical

The Dysnix team's tasks were:

• Dataset preparation
• Application development
• QA and bug fixes within 2 milestones (see below)
• Deployment of an application into the customer's environment

The demo was developed to minimize risks.

Non-completed tasks and incorrect tools lead to:

• Disruptions, delays, and errors in the operating room
• Frustrations for the surgical team
• Excess costs for hospitals
• Suboptimal outcomes for patients.

Solutions

We prepared a dataset and trained a model for surgical instrument detection, as well as developed an application using this model. The application can:

• Detect all the surgical objects on a video
• Classify all the detected objects
• Track objects on the screen and produce events on changes

Value delivered by Dysnix

• Preparation of a dataset and training of a model for surgical instrument detection, as well as the development of an application using this model
• All the development stages were shown as demos weekly so that customers could see progress in the work made
• Trained the in-house team on how to use the developed solutions
• Preparation of the documentation for obtaining financing