Journal of the European Academy of Dermatology and Venereology

Volume 39, Issue 5 pp. e451-e452

LETTER TO THE EDITOR

Enhancing multimodal deep learning for improved precision and efficiency in medical diagnostics

Keyan Jin,

Corresponding Author

Keyan Jin

[email protected]

orcid.org/0009-0004-9783-8818

School of Faculty of Applied Sciences, Macao Polytechnic University, Macao, China

Correspondence

Keyan Jin, School of Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.

Email: [email protected]

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Keyan Jin,

Corresponding Author

Keyan Jin

[email protected]

orcid.org/0009-0004-9783-8818

School of Faculty of Applied Sciences, Macao Polytechnic University, Macao, China

Correspondence

Keyan Jin, School of Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.

Email: [email protected]

Search for more papers by this author

First published: 29 May 2024

https://doi.org/10.1111/jdv.20166

Citations: 1

Linked article: Q. Li et al. J Eur Acad Dermatol Venereol. 2024;38:2268-2279. https://doi.org/10.1111/jdv.20031.

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DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.

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Volume39, Issue5

May 2025

Pages e451-e452

Enhancing multimodal deep learning for improved precision and efficiency in medical diagnostics

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Enhancing multimodal deep learning for improved precision and efficiency in medical diagnostics

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Human-multimodal deep learning collaboration in ‘precise’ diagnosis of lupus erythematosus subtypes and similar skin diseases

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