Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata

Jeremy Jueng; Vishnu Bhupalam; Ashley Su; Leonie Dupuis; Caridad Infante; Shazmeen Shaikh; Robert Dellavalle; Ian Brooks; Vernon Burton; James Solomon

doi:10.1016/j.jdin.2022.08.021

Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata

JAAD Int. 2022 Sep 6:9:102-104. doi: 10.1016/j.jdin.2022.08.021. eCollection 2022 Dec.

Authors

Affiliations

¹ Department of Dermatology, University of Central Florida College of Medicine, Orlando, Florida.
² University of Illinois, Center for Health Informatics, Champaign, Illinois.
³ Department of Dermatology, University of Colorado Health Science Center, Aurora, Colorado.
⁴ Clemson Cyber Institute, Clemson, South Carolina.
⁵ Department of Dermatology, Carle-Illinois College of Medicine, Champaign, Illinois.
⁶ Department of Dermatology, University of South Florida Morsani College of Medicine, Tampa, Florida.

No abstract available

Keywords: alopecia areata; artificial intelligence; biologics; corticosteroids; patient-centered research; patient-reported outcomes; social media; treatment response.