%0 Journal Article
%T The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution.
%A Ozcelik F
%A Dundar MS
%A Yildirim AB
%A Henehan G
%A Vicente O
%A Sánchez-Alcázar JA
%A Gokce N
%A Yildirim DT
%A Bingol NN
%A Karanfilska DP
%A Bertelli M
%A Pojskic L
%A Ercan M
%A Kellermayer M
%A Sahin IO
%A Greiner-Tollersrud OK
%A Tan B
%A Martin D
%A Marks R
%A Prakash S
%A Yakubi M
%A Beccari T
%A Lal R
%A Temel SG
%A Fournier I
%A Ergoren MC
%A Mechler A
%A Salzet M
%A Maffia M
%A Danalev D
%A Sun Q
%A Nei L
%A Matulis D
%A Tapaloaga D
%A Janecke A
%A Bown J
%A Cruz KS
%A Radecka I
%A Ozturk C
%A Nalbantoglu OU
%A Sag SO
%A Ko K
%A Arngrimsson R
%A Belo I
%A Akalin H
%A Dundar M
%J Funct Integr Genomics
%V 24
%N 4
%D 2024 Aug 16
%M 39147901
%F 3.674
%R 10.1007/s10142-024-01417-9
%X Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, availability of greater sets of omics data, and the need to continuously analyse them have led to the development of new AI platforms. AI continues to weave its way into the fabric of genetics with the potential to unlock new discoveries and enhance patient care. This technology is setting the stage for breakthroughs across various domains, including dysmorphology, rare hereditary diseases, cancers, clinical microbiomics, the investigation of zoonotic diseases, omics studies in all medical disciplines. AI's role in facilitating a deeper understanding of these areas heralds a new era of personalised medicine, where treatments and diagnoses are tailored to the individual's molecular features, offering a more precise approach to combating genetic or acquired disorders. The significance of these AI platforms is growing as they assist healthcare professionals in the diagnostic and treatment processes, marking a pivotal shift towards more informed, efficient, and effective medical practice. In this review, we will explore the range of AI tools available and show how they have become vital in various sectors of genomic research supporting clinical decisions.