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Review
. 2022 Jun 23;9(7):273.
doi: 10.3390/bioengineering9070273.

Review on Facial-Recognition-Based Applications in Disease Diagnosis

Jiaqi Qiang  1   2 , Danning Wu  1   2 , Hanze Du  1 , Huijuan Zhu  1 , Shi Chen  1 , Hui Pan  1   3
Affiliations
Review

Review on Facial-Recognition-Based Applications in Disease Diagnosis

Jiaqi Qiang et al. Bioengineering (Basel). .

Abstract

Diseases not only manifest as internal structural and functional abnormalities, but also have facial characteristics and appearance deformities. Specific facial phenotypes are potential diagnostic markers, especially for endocrine and metabolic syndromes, genetic disorders, facial neuromuscular diseases, etc. The technology of facial recognition (FR) has been developed for more than a half century, but research in automated identification applied in clinical medicine has exploded only in the last decade. Artificial-intelligence-based FR has been found to have superior performance in diagnosis of diseases. This interdisciplinary field is promising for the optimization of the screening and diagnosis process and assisting in clinical evaluation and decision-making. However, only a few instances have been translated to practical use, and there is need of an overview for integration and future perspectives. This review mainly focuses on the leading edge of technology and applications in varieties of disease, and discusses implications for further exploration.

Keywords: artificial intelligence; automated identification; disease diagnosis; facial recognition.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Workflow of facial recognition in disease diagnosis.
See this image and copyright information in PMC

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