Adam G. Haneberg BS , Kevin Pierre MD , Eric Winter-Reinhold , Bruno Hochhegger MD , Keith R. Peters MD , Joseph Grajo MD , Manuel Arreola PhD , Navid Asadizanjani PhD , Jiang Bian PhD , Anthony Mancuso MD , Reza Forghani MD, PhD
{"title":"Introduction to Radiomics and Artificial Intelligence: A Primer for Radiologists","authors":"Adam G. Haneberg BS , Kevin Pierre MD , Eric Winter-Reinhold , Bruno Hochhegger MD , Keith R. Peters MD , Joseph Grajo MD , Manuel Arreola PhD , Navid Asadizanjani PhD , Jiang Bian PhD , Anthony Mancuso MD , Reza Forghani MD, PhD","doi":"10.1053/j.ro.2023.02.002","DOIUrl":null,"url":null,"abstract":"<div><p>Health informatics<span> and artificial intelligence (AI) are expected to transform the healthcare enterprise and the future practice of radiology<span>. There is an increasing body of literature on radiomics and deep learning/AI applications in medical imaging. There are also a steadily increasing number of FDA cleared AI applications in radiology. It is therefore essential for radiologists to have a basic understanding of these approaches, whether in academia or private practice. In this article, we will provide an overview of the field and familiarize the readers with the fundamental concepts behind these approaches.</span></span></p></div>","PeriodicalId":51151,"journal":{"name":"Seminars in Roentgenology","volume":"58 2","pages":"Pages 152-157"},"PeriodicalIF":0.8000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Roentgenology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0037198X23000093","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 1
Abstract
Health informatics and artificial intelligence (AI) are expected to transform the healthcare enterprise and the future practice of radiology. There is an increasing body of literature on radiomics and deep learning/AI applications in medical imaging. There are also a steadily increasing number of FDA cleared AI applications in radiology. It is therefore essential for radiologists to have a basic understanding of these approaches, whether in academia or private practice. In this article, we will provide an overview of the field and familiarize the readers with the fundamental concepts behind these approaches.
期刊介绍:
Seminars in Roentgenology is designed primarily for the practicing radiologist and for the resident. Each quarterly issue compiled by a leading guest editor covers a single topic of current importance. The clinical, pathological, and roentgenologic aspects are emphasized, while research and techniques are discussed insofar as they provide documentation and clarification of the subject under discussion. This Seminars series is of interest to radiologists, sonographers, and radiologic technicians.