Copyright: ThalesSource : Thales


AI x Detecting Unusual Behavior

Developing AI solutions for anomaly detection in medical radiology equipment maintenance

This challenge is over, applications are closed

Challenge Overview

Description du challenge

Thales provides a digital platform solution to ease maintenance of medical radiology equipment by retrieving and analyzing technical data, and thus alert in case of events that could impact the system. We are looking to improve the capabilities of the system by implementing functions to detect abnormal behavior thanks to AI/ML solutions. The solution should be able to reduce downtime and maintenance costs, identify and fix issues before they become severe, and protect sensitive patient data.

Copyright: andrey
Copyright: andrey
Copyright: metamorworks
Copyright: metamorworks


Expertise in

  • Neuronal network
  • Unsupervised / semi supervised learning
  • Data Science: proficiency in data analysis, data mining, and data preprocessing, as well as experience working with large and complex datasets
  • Medical Imaging: knowledge of medical imaging equipment and systems, as well as experience in interpreting and analyzing medical imaging data

Projects you could be working on

  • Have a solution that can continuously learn, even with little data at the start, to detect deviant behavior of the system or system usage compared to the norm for a given system
  • Anticipate a usage that would lead to a failure in the long run
  • Detect an intrusion or cybersecurity threats