Benjamin D Solomon, Morgan Cheatham, Thales A C de Guimarães, Dat Duong, Melissa A Haendel, Tzung-Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni-Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J Guillen Sacoto, Yousif J Shwetar, Vincent D Ustach, Rebekah L Waikel, William Woof
{"title":"Perspectives on the Current and Future State of Artificial Intelligence in Medical Genetics.","authors":"Benjamin D Solomon, Morgan Cheatham, Thales A C de Guimarães, Dat Duong, Melissa A Haendel, Tzung-Chien Hsieh, Behnam Javanmardi, Britt Johnson, Peter Krawitz, Paul Kruszka, Tim Laurent, Ni-Chung Lee, Kirsty McWalter, Michel Michaelides, Klaus Mohnike, Nikolas Pontikos, Maria J Guillen Sacoto, Yousif J Shwetar, Vincent D Ustach, Rebekah L Waikel, William Woof","doi":"10.1002/ajmg.a.64118","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will affect, medical genetics. The authors who contributed to this collection of essays intentionally represent different areas of expertise, career stages, and geographies, and include diverse types of clinicians, computer scientists, and researchers. The individual pieces cover a wide range of areas related to medical genetics; we expect that these pieces may provide helpful windows into the ways in which AI is being actively studied, used, and considered in medical genetics.</p>","PeriodicalId":7507,"journal":{"name":"American Journal of Medical Genetics Part A","volume":" ","pages":"e64118"},"PeriodicalIF":1.7000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Medical Genetics Part A","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/ajmg.a.64118","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is rapidly transforming numerous aspects of daily life, including clinical practice and biomedical research. In light of this rapid transformation, and in the context of medical genetics, we assembled a group of leaders in the field to respond to the question about how AI is affecting, and especially how AI will affect, medical genetics. The authors who contributed to this collection of essays intentionally represent different areas of expertise, career stages, and geographies, and include diverse types of clinicians, computer scientists, and researchers. The individual pieces cover a wide range of areas related to medical genetics; we expect that these pieces may provide helpful windows into the ways in which AI is being actively studied, used, and considered in medical genetics.
期刊介绍:
The American Journal of Medical Genetics - Part A (AJMG) gives you continuous coverage of all biological and medical aspects of genetic disorders and birth defects, as well as in-depth documentation of phenotype analysis within the current context of genotype/phenotype correlations. In addition to Part A , AJMG also publishes two other parts:
Part B: Neuropsychiatric Genetics , covering experimental and clinical investigations of the genetic mechanisms underlying neurologic and psychiatric disorders.
Part C: Seminars in Medical Genetics , guest-edited collections of thematic reviews of topical interest to the readership of AJMG .