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project info
Start date: 1 January 2022
End date: 31 December 2023
funding
Fund: European Regional Development Fund (ERDF)
Total budget: 2 526 357,08 €
EU contribution: 1 761 608,00 € (69,73%)
programme
Programming period: 2014-2021
Managing authority: Ministerstwo obsługujące ministra właściwego ds. rozwoju regionalnego

Intelligent platform to support diagnosis and treatment of fertility disorders

Number_reference_aid_programme: SA.41471(2015/X) Purpose of public aid: Article 25 of Regulation (EC) No 651/2014 of 17 June 2014 declaring certain categories of aid compatible with the internal market in the application of Articles 107 and 108 of the Treaty That’s it. EU L 187/1 of 26.06.2014). The result of the project is to create an intelligent platform to support the treatment of infertility. The platform is based on the assumption of effective data entry and processing. The data processed using AI algorithms is made available to the doctor in a form that facilitates their finding and analysis and is used to generate suggestions for further course of therapy. 1. The system will support the doctor’s decisions by: providing it with information in an easy-to-understand and partially processed way – the platform will present the data in a way that takes into account the relevance for a given case (b) enabling access to patient history. C) Suggesting possible treatment pathways by providing information for their comprehensive assessment The result will be achieved by carrying out B &R works using machine learning algorithms. The platform will be implemented in the activities of the Applicant, reducing the time of the visit and improving the quality of the services provided. It will also be made available to medical practitioners who will be able to conduct infertility treatment in cooperation with Invicta. 2. Data Platform will use AI mechanisms to create digital representations of data contained in documents, recognise them and save them in appropriate places of the file (the platform itself determines which document it is dealing with, identifies the relevant information contained therein, and where this information should be recorded in the patient’s file). In addition, the platform will obtain data through a transcription of conversations used to assist the doctor in the conduct

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