Machine Learning Applications in Hidradenitis Suppurativa Diagnosis, Management, and Severity Assessment: A Systematic Review
J Cutan Med Surg
.
2024 Dec 21:12034754241303091.
doi: 10.1177/12034754241303091.
Online ahead of print.
Authors
Eric McMullen
1
,
Dea Metko
2
,
Shanti Mehta
3
,
Rajan Grewal
2
,
Mahan Maazi
4
,
Abu Bakar Butt
5
,
Yousif Al-Naser
6
7
,
Vincent Piguet
1
8
Affiliations
1
Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada.
2
Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada.
3
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
4
Faculity of Medicine, University of British Columbia, Vancouver, BC, Canada.
5
School of Health, University of Waterloo, Waterloo, ON, Canada.
6
Medical Radiation Sciences, McMaster University, Hamilton, ON, Canada.
7
Department of Diagnostic Imaging, Trillium Health Partners, Mississauga, ON, Canada.
8
Division of Dermatology, Department of Medicine, Women's College Hospital, Toronto, ON, Canada.
PMID:
39708349
DOI:
10.1177/12034754241303091
No abstract available
Keywords:
artificial intelligence; hidradenitis suppurativa; machine learning.
Publication types
Letter