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FXNet from Predible Health

Predible Health - Ambra Solution PartnerComputer aided detection of fractures from wrist x-rays.

Predible Health builds software that provides physicians with data-driven clinical insights to gain a deeper understanding about each patient. Predible’s Deep Learning powered algorithms help physicians to deliver best quality care in the quickest time.

Predible Health’s FXNet automates aspects of screening by marking regions of interest for fracture studies, and enables radiologists to focus on reading X-rays that require attention, with greater speed and accuracy.

Features:

Predible ROI Viewer

Powerful Deep Learning System

Detects images with fractures and localized regions of interest.

Interactive Viewer

Interactive viewer provides editing and examination tools to quantify regions of interest.

Prepares Preliminary Text Reports

Automatically prepares a preliminary text report based on deep learning analysis on image findings, reducing turnaround times.

Details:

With the advances in imaging modalities and the abundance of diagnostic information at hand, there has been a real challenge in managing the Radiology workflow. As image volumes continue to increase, there’s less time for reading and reporting.

Developed with radiologists’ workload in mind, in association with leading radiology workflow provider, Telerad Tech, our FXNet product aims to:

  1. Reduce workload by screening away normal from fracture studies
  2. Reduce turnaround times by preparing preliminary text reports on image finding

We are a team of data scientists and imagineers motivated to bring a change to the traditional healthcare delivery process. Our journey started two years ago after winning the Longitudinal Multiple Sclerosis Lesion Segmentation Challenge held at the IEEE-International Symposium on Biomedical Imaging 2015 held at New York, USA. Winners of Philips Startup Cup 2016, Predible believes technology will play a huge role in increasing accessibility of quality healthcare to everyone who needs it.