Development and Assessment of an Artificial Intelligence-Based Tool for Ptosis Measurement in Adult Myasthenia Gravis Patients Using Selfie Video Clips Recorded on Smartphones.

Lootus, Meelis; Beatson, Lulu; Atwood, Lucas; Bourdais, Theo; Steyaert, Sandra; Sarabu, Chethan; Framroze, Zeenia; Dickinson, Harriet; Steels, Jean-Christophe; Lewis, Emily; Shah, Nirav R; Rinaldo, Francesca

Lootus, Meelis; Beatson, Lulu; Atwood, Lucas; Bourdais, Theo; Steyaert, Sandra; Sarabu, Chethan; Framroze, Zeenia; Dickinson, Harriet; Steels, Jean-Christophe; Lewis, Emily; Shah, Nirav R; Rinaldo, Francesca.

Afiliação

Lootus M; Sharecare Inc., Atlanta, GA, USA.
Beatson L; Sharecare Inc., Atlanta, GA, USA.
Atwood L; Sharecare Inc., Atlanta, GA, USA.
Bourdais T; Sharecare Inc., Atlanta, GA, USA.
Steyaert S; Stanford University, Center for Bioinformatics Research, Palo Alto, CA, USA.
Sarabu C; Sharecare Inc., Atlanta, GA, USA.
Framroze Z; Sharecare Inc., Atlanta, GA, USA.
Dickinson H; UCB Pharma, Slough, UK.
Steels JC; UCB Pharma, Brussels, Belgium.
Lewis E; UCB Pharma, Brussels, Belgium.
Shah NR; Clinical Excellence Research Center, Stanford University, Palo Alto, CA, USA.
Rinaldo F; Sharecare Inc., Atlanta, GA, USA.

Digit Biomark ; 7(1): 63-73, 2023.

Article em En | MEDLINE | ID: mdl-37545566

Palavras-chave

Computer vision; Decentralized study; Personal smartphones; Ptosis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Digit Biomark Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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