J
Justin M. Ko
Researcher at Stanford University
Publications - 82
Citations - 10370
Justin M. Ko is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Alopecia areata. The author has an hindex of 15, co-authored 62 publications receiving 7124 citations. Previous affiliations of Justin M. Ko include Harvard University & Eastern Virginia Medical School.
Papers
More filters
Journal ArticleDOI
Assessment of the Development of New Regional Dermatoses in Patients Treated for Atopic Dermatitis With Dupilumab.
TL;DR: In this paper, the authors describe the epidemiology, clinical features, and treatment of patients with moderate-to-severe atopic dermatitis and the association of developing new regional dermatoses with dupilumab treatment.
Journal ArticleDOI
"'You lose your hair, what's the big deal?' I was so embarrassed, I was so self-conscious, I was so depressed:" a qualitative interview study to understand the psychosocial burden of alopecia areata.
Natalie V. J. Aldhouse,Helen Kitchen,Sarah Knight,Jake Macey,Fabio P. Nunes,Yves Dutronc,Natasha Atanaskova Mesinkovska,Justin M. Ko,Brett A. King,Kathleen W. Wyrwich +9 more
TL;DR: The psychosocial burden of alopecia areata impairs patients’ emotional and psychological wellbeing, relationships and lifestyles, and greater disease awareness and effective treatments are needed.
Journal ArticleDOI
The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials.
Kathleen W. Wyrwich,Helen Kitchen,Sarah Knight,Natalie V. J. Aldhouse,Jake Macey,Fabio P. Nunes,Yves Dutronc,Natasha Atanaskova Mesinkovska,Justin M. Ko,Brett A. King +9 more
TL;DR: Content‐valid and clinically meaningful instruments are required to evaluate outcomes of therapeutic interventions in alopecia areata (AA).
Journal ArticleDOI
Disparities in dermatology AI performance on a diverse, curated clinical image set
Roxana Daneshjou,Kailas Vodrahalli,Roberto A. Novoa,Melissa Jenkins,Weixin Liang,Veronica Rotemberg,Justin M. Ko,Susan M. Swetter,Elizabeth E. Bailey,Olivier Gevaert,Pritam Mukherjee,Michelle W Phung,K. Yekrang,Bradley Fong,Rachna Sahasrabudhe,Johan Allerup,Utako Okata-Karigane,James Zou,Albert S. Chiou +18 more
TL;DR: The Diverse Dermatology Images (DDI) dataset is created—the first publicly available, expertly curated, and pathologically confirmed image dataset with diverse skin tones and identifies important weaknesses and biases in dermatology AI that should be addressed for reliable application to diverse patients and diseases.
Journal ArticleDOI
Implementation and evaluation of Stanford Health Care direct-care teledermatology program.
TL;DR: Evaluated teledermatology services allow dermatology providers to increase access while maintaining high-quality care in an academic medical center and patients indicated high levels of satisfaction with the service although they had suggestions for improvement.