Current and Future Applications of Artificial Intelligence in Clinical Genetics

Read full text
Authors: Janet Lawrence
Cited by: 1
References: 14

Abstract

Artificial Intelligence (AI) is transforming medicine, and its influence on clinical genetics cannot be ignored. From variant analysis and diagnostic interpretation to predictive and prognostic medicine, AI is improving the efficacy of genetic and genomic medicine using machine learning and deep learning systems to process large sequences of genomic data. This editorial explores current applications, highlights emerging advances, and discusses briefly the potential trajectory of AI in clinical genetics and our role to play as healthcare professionals. It also touches on the ethical limitations of AI in medicine.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Genomics and Rare Diseases Machine Learning in Healthcare

Publication details

Journal / source
Cureus
Publisher
Springer Science and Business Media LLC
Volume
18
Issue
1
Pages
e100581–e100581
Publication date
1 January 2026
Language
EN