Use of artificial intelligence as an instrument of evaluation after stroke: a scoping review based on international classification of functioning, disability and health concept

Author:

Luvizutto Gustavo José1ORCID,Silva Gabrielly Fernanda2,Nascimento Monalisa Resende2,Sousa Santos Kelly Cristina2,Appelt Pablo Andrei2,de Moura Neto Eduardo2,de Souza Juli Thomaz34ORCID,Wincker Fernanda Cristina34ORCID,Miranda Luana Aparecida34,Hamamoto Filho Pedro Tadao4ORCID,de Souza Luciane Aparecida Pascucci Sande1ORCID,Simões Rafael Plana5,de Oliveira Vidal Edison Iglesias3,Bazan Rodrigo4ORCID

Affiliation:

1. Department of Applied Physical Therapy, Federal University of Triângulo Mineiro, Uberaba, Brazil

2. Federal University of Triângulo Mineiro, Uberaba, Brazil

3. Department of Internal Medicine, Botucatu Medical School, Brazil

4. Department of Neurology, Psychology and Psychiatry, Botucatu Medical School, Brazil

5. Department of Bioprocesses and Biotechnology, São Paulo State University, Botucatu, SP, Brazil

Publisher

Informa UK Limited

Subject

Neurology (clinical),Community and Home Care,Rehabilitation

Reference90 articles.

1. Global, regional, and national burden of stroke, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

2. Lee MH, Siewiorek DP, Smailagic A, Bernardino A, Badia SB Opportunities of a machine learning-based decision support system for stroke rehabilitation assessment. 20202020ArXiv, Abs./2002.12261.

3. Mispredictions and misrecollections: Challenges for subjective outcome measurement

4. Motor recovery after stroke: A systematic review of the literature

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