Vélizy-Villacoublay
Île-de-France
78140
France
In the high pressure environment of hospitals, every minute counts. For healthcare professionals, this requires the clearest x-ray images possible to facilitate fast and accurate diagnosis of patients.
Drawing on longstanding experience in the development of radiology and imaging solutions, technologies delivered by Thales provide hospitals with exceptional image quality, rapid image acquisition and processing, coupled with connectivity capabilities that enable instant clinical data transmission. New-generation solutions go further by capitalizing on synergies in artificial intelligence, cybersecurity, big data and data management, and the Internet of Things.
Research projects are continuing to make substantial headway, led by Thales teams at the Digital Factory in Paris, France, in conjunction with R&D specialists at the CortAIx center in Montreal, Canada. Work is focused on further boosting the implementation of artificial intelligence as an aid for patient diagnosis. Additionally, Thales’s cybersecurity credentials are providing hospitals with new data protection methods, shielding personal medical information and avoiding potential data breaches.
These capabilities are taking digital radiology technology to new levels. Inès Mouga adds that “As well as enabling doctors to ‘see’ more clearly through sharp images and to potentially detect pathologies such as cancers or pulmonary nodules that might otherwise escape the human eye, they are being given unprecedented resources to interpret, manage and protect data.”
The transition to an all-digital radiology world is very much in progress, and Thales is enabling hospitals and patients to fully benefit from technological advancements.
This article is part of a series of publications associated with Thales Media Day in Montreal, January 24, devoted to the Autonomous world & artificial intelligence, in the presence of Patrice Caine, Thales Group CEO & Yoshua Bengio, Full Professor, Department of Computer Science Operations Research, Canada Research Chair in Statistical Learning Algorithms.
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