RHD screening AI tool

RHD screening AI tool

Trustworthy Medical Imaging Processing service in the cloud & Post-processing pipelines

Testing in UFMG hospital to use cloud services for critical tasks that require trustworthy services tried and tested in the real world and scalable to other end users; KUMUNI an asset enables clients to track what is being done with data through periodical checking tests on the service bias. The RHD screening AI tool has shown potential to help physicians in the diagnosis of RHD by performing an initial screening of cases, thus reducing the workload and improving the time-efficiency of health personnel while enhancing patient outcomes. Regarding QUIBIM, the exploitation plan during the next 3 years consists of the inclusion of the RHD tool in the QUIBIM analysis suite. The product can be purchased by obtaining an annual license (Hospitals, clinical centres, research institutions, etc) in which an unlimited number of analysis could be performed or by a pay per analysis model in which a standard price/analysis is fixed and a monthly fee is charged. After the first year the 20% maintenance is charged to the client.
Contact Person: 
Antonio Ribeiro, Federal University of Minas Gerais, Brazil George Teodoro, University of Brasilia, Brazil Angel Enrich, QUIBIM, Spain angel@quibim.com
MARKETS & USERS

Current Users: 
PROVAR initiative (Brazil), QUIBIM (Spain)

User Categories: 
Network managers
Chief Technology Officer (CTO)
Developers
Other

Community / market sectors: 
Telehealth professionals, cloud service providers and decision makers in local and national digital health programmes/healthcare systems.

Specific needs / Value Proposition: 
To support computing the score of trustworthiness of resources, services, components or applications based on the relevant trustworthiness properties and their metrics. Testing of application in the real world and get the feedback from the user.

Specific benefits / Value Proposition: 
Process medical images with the ability to evaluate trustworthiness in performance, privacy, availability, robustness and dependability.

SUSTAINABILITY PLAN
Testing in UFMG hospital to use cloud services for critical tasks that require trustworthy services tried and tested in the real world and scalable to other end users; KUMUNI an asset enables clients to track what is being done with data through periodical checking tests on the service bias. The RHD screening AI tool has shown potential to help physicians in the diagnosis of RHD by performing an initial screening of cases, thus reducing the workload and improving the time-efficiency of health personnel while enhancing patient outcomes. Regarding QUIBIM, the exploitation plan during the next 3 years consists of the inclusion of the RHD tool in the QUIBIM analysis suite. The product can be purchased by obtaining an annual license (Hospitals, clinical centres, research institutions, etc) in which an unlimited number of analysis could be performed or by a pay per analysis model in which a standard price/analysis is fixed and a monthly fee is charged. After the first year the 20% maintenance is charged to the client.
OWNER DETAILS
Owner (incl. Joint ownership): 
Federal University of Minas Gerais (Brazil) and QUIBIM (Spain)

Owner type: Academia/Research

Country: 
Brazil
Spain
Delivery Model: 
Open source

EU EUBrasilCloudFORUM is funded by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 689495. Este projeto é resultante da 3a Chamada Coordenada BR-UE em Tecnologias da Informação e Comunicação (TIC), anunciada pelo Ministério da Ciência, Tecnologia e Inovação (MCTI), no âmbito to acordo de subvenção Número 689495. Privacy Policy | Disclaimer Terms of use