A portable AI-enabled ultrasound system is being developed to help health workers monitor and identify high-risk pregnancies in low-resource settings by using an AI engine in combination with advanced image processing. Our client is developing a market-ready Software as a Medical Device (SaMD) product, using an off-the-shelf ultrasound probe connected to a user-supplied tablet.

Lacking expertise in Medtech product development, our client turned to Syncro Medical to advance the prototype application they had developed, centered around their proprietary AI engine, into a commercial product.

In order to do so, Syncro Medical assessed the architecture & design, workflows, and implementation of the existing prototype and identified key areas within the software that our team could significantly improve. We also added new features to support the commercial version. Our work included:

Scalability & Performance:

• • Added capability to monitor probe state, reset the probe automatically, and indicate to the user necessary actions to take to ensure that consistent, high-quality images are fed into the AI engine.
  • Refactored code in order to accommodate integration with multiple probe types and cloud servers.
  • Refactored the code to be cross-platform in order to accommodate a variety of user-supplied tablets.

Data Acquisition, Storage, and Archiving:

• • The prototype app lacked a means of storing acquired images after being processed by the AI models. Syncro Medical created an efficient process to create DICOM images and send them to PACS servers for archiving.

Data Reporting & Visualization:

• • Syncro Medical improved user workflow and enhanced the UI in order to make the results of the AI-models accessible to users at varying skill levels.