Перейти в головне навігаційне меню Перейти до головного Перейти на нижній колонтитул сайту

Медичні науки та громадське здоров’я

June 23, 2023; Oxford, UK: V Міжнародна науково-практична конференція «THEORETICAL AND EMPIRICAL SCIENTIFIC RESEARCH: CONCEPT AND TRENDS»


EVALUATION OF THE “FACE2GENE” PROGRAM AS A TOOL FOR PHENOTYPICAL IDENTIFICATION OF GENETIC PATHOLOGY


DOI
https://doi.org/10.36074/logos-23.06.2023.68
Опубліковано
05.07.2023

Анотація

Introduction. Approximately 4% of the world's population suffers from orphan diseases, the majority of them has a genetic origin. Syndromological analysis is crucial in studying the semiotics of hereditary pathology, but it requires substantial experience and can be subjective. Additionally, there is a shortage of trained clinical geneticists, leading to long waiting times for appointments. To address these challenges, computer programs have been developed with utilizing artificial intelligence to detect rare hereditary disorders by analysing facial images. The "Face2Gene" application generates a list of ten genetic pathologies that the patient may have, aides geneticists in more effective screening of genetic syndromes.

Посилання

  1. Maciej Geremek and Krzysztof Szklanny. 2021. Deep Learning-Based Analysis of Face Images as a Screening Tool for Genetic Syndromes. PubMedCentral.
  2. Yaron Gurovich, Yair Hanani, Omri Bar, Nicole Fleischer1, Dekel Gelbman, Lina Basel-Salmon, Peter Krawitz, Susanne B Kamphausen, Martin Zenker, Lynne M. Bird, Karen W. Gripp. 2019. DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning. Nature Medicine.
  3. Anjuman Rahman. 2019. How doctors are using an AI app to detect rare genetic disorders. NS MEDICAL DEVICES.