| KEYWORD |
Design and development of distributed software platform to gather, manage and visualize clinical images
Thesis in external company
keywords DECISION SUPPORT, INTERNET OF THINGS, IOT, MEDICAL IMAGING
Reference persons SANTA DI CATALDO, EDOARDO PATTI
External reference persons Daniele Conti (daniele.conti@syndiag.ai)
Research Groups DAUIN - GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ELECTRONIC DESIGN AUTOMATION - EDA, GR-06 - ELECTRONIC DESIGN AUTOMATION - EDA, ICT4SS - ICT FOR SMART SOCIETIES
Thesis type EXPEIRMENTAL, IN COMPANY
Description SynDiag in an Italian startup born to enable early diagnosis of ovarian cancer with artificial intelligence applied to medical imaging.
Ovarian cancer is a pathology presenting high mortality due to late diagnosis: 75% of clinical cases are detected when already developed and with survival rate at 30%. Performing an early diagnosis would increase the survival probability as high as 90%. For such a reason SynDiag wants to equip al gynecologists with a medical device based on AI that speeds up the diagnostic process.
SynDiag is a young team composed of researchers, medical doctors and entrepreneurs, hosted at I3P – Incubator of Politecnico di Torino. We collaborate with hospitals in Italy and Israel.
The thesis here proposed, in the field of IoT, is focused on the development of the medical web application used by medical doctors that access artificial intelligence algorithms.
The web app should interface with all ultrasound scan devices already present in clinics and hospitals, acquire data sent by medical doctors on the cloud and perform processing using cloud services.
The thesis will focus on:
- Analysis of ultrasound scan machines exporting protocols
- Definition of acquisition protocol of medical data
- Definition of the software platform to gather, manage and visualize clinical images
- Development on the medical web app: backend – frontend
- Integration of API for cloud computing
Deadline 13/02/2021
PROPONI LA TUA CANDIDATURA