Face recognition in identifying genetic diseases: a progress review

Salsabila Aurellia, Siti Fauziyah Rahman

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Genetic diseases vary widely. Practitioners often face the complexity of determining genetic diseases. In distinguishing one genetic disease from another, it is difficult to do without a thorough test on the patient or also known as genetic testing. However, in some previous studies, genetic diseases have unique physical characteristics in sufferers. This leads to detecting differences in these physical characteristics to assist doctors in diagnosing people with genetic diseases. In recent years, facial recognition research has been quite active. Researchers continue to develop it from various existing methods, algorithms, approaches, and databases where the application is applied in various fields, one of which is medical imagery. Face recognition is one of the options for identifying disease. The condition of a person's face can be said to be a representation of a person's health. Where the accuracy in early detection can be pretty good, so face recognition is also one of the solutions that can be used to identify various genetic diseases in collaboration with artificial intelligence. This article review will focus more on the development of facial recognition in 2-dimensional images, showing that different methods can produce different results and face recognition can also overcome complex genetic disease variations.

Original languageEnglish
Pages (from-to)1019-1025
Number of pages7
JournalIAES International Journal of Artificial Intelligence
Issue number3
Publication statusPublished - Sept 2023


  • Face recognition
  • 2-dimensional
  • Artificial intelligence
  • Genetic disease
  • Identification


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