The Role of AI in Early Detection of Genetic Disorders

Authors

  • Jordan Moore
  • Jordan Jones
  • Jesse Gonzalez

Keywords:

genetics, ai, detection, healthcare, data

Abstract

Artificial Intelligence (AI) is rapidly transforming the landscape of genetic disorder diagnosis. This article delves into the application of AI technologies to identify genetic anomalies at an early stage, emphasizing the potential for improved accuracy and speed over traditional methods. Through machine learning algorithms and data integration, AI systems can analyze vast amounts of genetic data to predict and identify disorders more effectively. The study presents case analyses demonstrating AI's efficiency in clinical settings and discusses future implications for genetic medicine. Emphasizing ethical considerations and data security, this research charts a path toward enhanced genetic healthcare solutions.

Author Biographies

Jordan Moore

PhD
Technical University of Munich
Arcisstraße 21, 80333 München, Germany

Jordan Jones

MD
Lviv National Medical University
Pekarska St, 69, Lviv, Lviv Oblast, Ukraine, 79010

Jesse Gonzalez

PhD
University of Toronto
27 King's College Cir, Toronto, ON M5S, Canada

References

Viroliya, K., Hojjat, A., Pena, B., Bhatt, H., Mehta, N. N., Venkata, S. Y., ... & Palabindela, P. (2023). Sa1359 HELICOBACTER PYLORI ASSOCIATED GASTRO-INTESTINAL BLEEDING IN BARIATRIC SURGERY-NATIONWIDE SURREY. Gastroenterology, 164(6), S-373.

Published

2026-02-16

Issue

Section

Articles