人工智能在胃癌影像学中的应用,重点是诊断成像和身体形态计量学。

IF 3.2 4区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Kyung Won Kim, Jimi Huh, Bushra Urooj, Jeongjin Lee, Jinseok Lee, In-Seob Lee, Hyesun Park, Seongwon Na, Yousun Ko
{"title":"人工智能在胃癌影像学中的应用,重点是诊断成像和身体形态计量学。","authors":"Kyung Won Kim,&nbsp;Jimi Huh,&nbsp;Bushra Urooj,&nbsp;Jeongjin Lee,&nbsp;Jinseok Lee,&nbsp;In-Seob Lee,&nbsp;Hyesun Park,&nbsp;Seongwon Na,&nbsp;Yousun Ko","doi":"10.5230/jgc.2023.23.e30","DOIUrl":null,"url":null,"abstract":"<p><p>Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.</p>","PeriodicalId":56072,"journal":{"name":"Journal of Gastric Cancer","volume":"23 3","pages":"388-399"},"PeriodicalIF":3.2000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8d/b8/jgc-23-388.PMC10412978.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry.\",\"authors\":\"Kyung Won Kim,&nbsp;Jimi Huh,&nbsp;Bushra Urooj,&nbsp;Jeongjin Lee,&nbsp;Jinseok Lee,&nbsp;In-Seob Lee,&nbsp;Hyesun Park,&nbsp;Seongwon Na,&nbsp;Yousun Ko\",\"doi\":\"10.5230/jgc.2023.23.e30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.</p>\",\"PeriodicalId\":56072,\"journal\":{\"name\":\"Journal of Gastric Cancer\",\"volume\":\"23 3\",\"pages\":\"388-399\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2023-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/8d/b8/jgc-23-388.PMC10412978.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Gastric Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.5230/jgc.2023.23.e30\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Gastric Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5230/jgc.2023.23.e30","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

胃癌仍然是一个重要的全球健康问题,迫使需要在成像技术的进步,以确保准确的诊断和有效的治疗计划。人工智能(AI)已经成为胃癌成像的有力工具,特别是在诊断成像和身体形态测量方面。本文就人工智能在胃癌影像学中的最新进展及应用进行综述。我们研究了人工智能成像在胃癌诊断和分期中的作用,展示了其在提高患者管理这些关键方面的准确性和效率方面的潜力。此外,我们还探讨了人工智能身体形态测量技术在评估胃切除术临床影响方面的应用。人工智能在这方面的应用对理解术后变化和优化患者预后具有重要意义。此外,我们研究了人工智能技术对胃癌患者预后的现状。这些预后模型利用人工智能算法来预测长期生存结果,并帮助临床医生做出明智的治疗决策。然而,人工智能技术在胃癌成像中的应用存在一些局限性。随着人工智能的不断发展,我们希望看到尖端技术转化为常规临床实践,最终改善患者对胃癌的护理和治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry.

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry.

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry.

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry.

Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Gastric Cancer
Journal of Gastric Cancer Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
4.30
自引率
12.00%
发文量
36
期刊介绍: The Journal of Gastric Cancer (J Gastric Cancer) is an international peer-reviewed journal. Each issue carries high quality clinical and translational researches on gastric neoplasms. Editorial Board of J Gastric Cancer publishes original articles on pathophysiology, molecular oncology, diagnosis, treatment, and prevention of gastric cancer as well as articles on dietary control and improving the quality of life for gastric cancer patients. J Gastric Cancer includes case reports, review articles, how I do it articles, editorials, and letters to the editor.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信