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FACIAL.ME - an artificial intelligence plataform for facial paralysis patients

Grant number: 18/08520-7
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: October 01, 2019 - December 31, 2020
Field of knowledge:Health Sciences - Medicine
Principal researcher:Ricardo Guimarães
Grantee:Ricardo Guimarães
Company:Facialme - Desenvolvimento de Sistemas Ltda
CNAE: Desenvolvimento e licenciamento de programas de computador customizáveis
Atividades de atenção à saúde humana não especificadas anteriormente
City: São Paulo
Principal researchers:Anna Carolina de Oliveira Fonseca
Assoc. researchers: Pedro Jorge Saldanha Ramos ; Silvio Pires Penteado
Associated scholarship(s):20/09961-7 - Data security architecture of the FACIAL.ME system, BP.TT
19/21969-6 - Data security architecture of the FACIAL.ME system, BP.TT
19/21205-6 - Development of ML-algorithm for rehabilitation of patients with facial palsy, BP.TT
19/21473-0 - Follow-up of the evolution of patients with facial palsy using models of artificial intelligence, BP.TT

Abstract

Every year, about 80,000 Brazilians suffer Facial Paralysis. Patients who are not treated right away think that nothing more can be done to improve their facial movements, and that they will have sequels forever. There are currently no open access technological solutions where patients with facial paralysis can easily obtain information, anticipate the outcomes of their treatments and be guided in the therapeutic rehabilitation process. The main objective of FACIAL.ME is to create a digital platform to support clinical teams and guide patients with facial paralysis during the facial rehabilitation process. To test the technical-scientific feasibility of FACIAL.ME, we will begin during Phase I PIPE a proof of concept with a set of ~ 50 patients. To prepare this proof of concept, PIPE I will have three main activities: 1) Identify and test the use of patient-reported outcome measurements and imaging techniques using Artificial Intelligence (AI) tools for self-monitoring of patients with paralysis ; 2) create a product prototype that is portable and secure using agile development methodology; 3) build and test the prototype in conjunction with patients and clinical staff (user-centered design). The expected results for the execution of this project are: after 9 months, obtain a solution that is currently non-existent in the market, tested and co-validated with end users, that can be launched in the market; testing of an innovative AI technology for use by patients with facial paralysis; scale-up of the solution with third-party external investment; production of scientific articles on the use of AI in the monitoring of patients with facial paralysis and on the process of application co-creation for patients with facial paralysis based on the user-centered design methodology. (AU)