Artificial intelligence recognition of cutaneous chronic graft-versus-host disease by a deep learning neural network

Andrew McNeil; Kelsey Parks; Xiaoqi Liu; Inga Saknite; Fuyao Chen; Tahsin Reasat; Austin Cronin; Lee Wheless; Benoit M Dawant; Eric R Tkaczyk

doi:10.1111/bjh.18141

Artificial intelligence recognition of cutaneous chronic graft-versus-host disease by a deep learning neural network

Br J Haematol. 2022 Jun;197(6):e69-e72. doi: 10.1111/bjh.18141. Epub 2022 Mar 24.

Authors

Andrew McNeil^{1

2

3}, Kelsey Parks^{2

3}, Xiaoqi Liu^{1

2

3}, Inga Saknite^{3

4}, Fuyao Chen^{2

3

5

6}, Tahsin Reasat¹, Austin Cronin^{2

3}, Lee Wheless^{2

3}, Benoit M Dawant¹, Eric R Tkaczyk^{2

3

5}

Affiliations

¹ Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
² Dermatology Service and Research Service, Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
³ Vanderbilt Department of Dermatology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
⁴ Biophotonics Laboratory, Institute of Atomic Physics and Spectroscopy, University of Latvia, Riga, Latvia.
⁵ Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
⁶ School of Medicine, Yale University, New Haven, Connecticut, USA.

No abstract available

Publication types

Letter
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

Artificial Intelligence
Deep Learning*
Graft vs Host Disease* / diagnosis
Graft vs Host Disease* / etiology
Humans
Machine Learning
Neural Networks, Computer
Skin Diseases* / diagnosis
Skin Diseases* / etiology

Publication types

MeSH terms

Grants and funding