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UTSEG – AI

Ultrasound Thyroid Simulator Enhanced by Generative Artificial Intelligence

 

Description

Digital healthcare and advanced simulation in the field of medical imaging diagnostics supported by Artificial Intelligence. The project’s goal is to develop a AI-supported imaging diagnostic system for thyroid pathologies, to be used for training in medical simulation.

Result to be enhanced

Paid collaboration during the development of the solution by Montgomery College in Maryland.

Why is it important?

One of the first solutions based on generative Artificial Intelligence.

 

Project and Acronym: UTSEG -AI
TRL:  Iniziale 4 – Finale 7
Call for applications: Innometro
Innovation Cluster to contact: Polo ICT, BioPMed
Technologies used: Generative AI, thyroid echografic simulation

Lead company:
Logos Centro Studi S.r.l
salvetti@logosnet.org | www.logosnet.org

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This website was developed as part of the TIPPS – Transition and Innovation with the Piedmont Innovation Clusters as a System project, launched with the support of co-funding from the Piedmont Region’s 2014–2020 ERDF Regional Operational Programme (ROP). Starting in 2023, and in continuity with the first project cycle, this platform and its contents have been updated as part of the “CLIPS – Clusters Innovation_Piedmont Clusters as a System” project, funded by the Piedmont Regional Programme ERDF 2021–2027.

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