Joel Grunhut, John J Newland, Rebecca Frances Brown
{"title":"Implications of Artificial Intelligence for Colorectal Cancer in Young Populations.","authors":"Joel Grunhut, John J Newland, Rebecca Frances Brown","doi":"10.1002/jso.28036","DOIUrl":null,"url":null,"abstract":"<p><p>A considerable amount of recent research has focused on the role of artificial intelligence (AI) in colorectal cancer (CRC), aiming to improve outcomes in CRC. However, AI for young onset colorectal cancer (yoCRC)-defined as colorectal cancer in patients less than 50 years old-is not nearly as explored, and its role in the prevention, detection, and management of yoCRC remains largely unknown. To address this gap, we performed an integrative review on AI in yoCRC. We conducted a comprehensive literature search of PubMed, Medline (Ovid), and Embase for articles published from 2020 to 2024, adhering to specific inclusion and exclusion criteria. This integrative review involved gathering information from diverse research designs and literature sources. After removing duplicates and applying inclusion criteria, a total of 11 articles were included in the review. Our analysis identified one review discussing the importance of AI in yoCRC, three articles presenting research studies mentioning applications for yoCRC, and seven comprehensive investigations utilizing AI with a specific focus on yoCRC. The findings indicate that while AI in CRC is an evolving research field, there are few plans or implementations reported on how to incorporate AI specifically in yoCRC. Potential limitations of this review include the limited number of databases searched and the scope of search queries used. Nonetheless, this review highlights the need for more targeted research on AI applications in yoCRC. Future research can build upon the foundation of AI in CRC with adjustments to account for the increasing incidence of yoCRC.</p>","PeriodicalId":17111,"journal":{"name":"Journal of Surgical Oncology","volume":" ","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Surgical Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jso.28036","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
A considerable amount of recent research has focused on the role of artificial intelligence (AI) in colorectal cancer (CRC), aiming to improve outcomes in CRC. However, AI for young onset colorectal cancer (yoCRC)-defined as colorectal cancer in patients less than 50 years old-is not nearly as explored, and its role in the prevention, detection, and management of yoCRC remains largely unknown. To address this gap, we performed an integrative review on AI in yoCRC. We conducted a comprehensive literature search of PubMed, Medline (Ovid), and Embase for articles published from 2020 to 2024, adhering to specific inclusion and exclusion criteria. This integrative review involved gathering information from diverse research designs and literature sources. After removing duplicates and applying inclusion criteria, a total of 11 articles were included in the review. Our analysis identified one review discussing the importance of AI in yoCRC, three articles presenting research studies mentioning applications for yoCRC, and seven comprehensive investigations utilizing AI with a specific focus on yoCRC. The findings indicate that while AI in CRC is an evolving research field, there are few plans or implementations reported on how to incorporate AI specifically in yoCRC. Potential limitations of this review include the limited number of databases searched and the scope of search queries used. Nonetheless, this review highlights the need for more targeted research on AI applications in yoCRC. Future research can build upon the foundation of AI in CRC with adjustments to account for the increasing incidence of yoCRC.
期刊介绍:
The Journal of Surgical Oncology offers peer-reviewed, original papers in the field of surgical oncology and broadly related surgical sciences, including reports on experimental and laboratory studies. As an international journal, the editors encourage participation from leading surgeons around the world. The JSO is the representative journal for the World Federation of Surgical Oncology Societies. Publishing 16 issues in 2 volumes each year, the journal accepts Research Articles, in-depth Reviews of timely interest, Letters to the Editor, and invited Editorials. Guest Editors from the JSO Editorial Board oversee multiple special Seminars issues each year. These Seminars include multifaceted Reviews on a particular topic or current issue in surgical oncology, which are invited from experts in the field.