文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

人工智能在人体成像中的实际应用。

Practical applications of AI in body imaging.

作者信息

Mervak Benjamin M, Fried Jessica G, Neshewat Julian, Wasnik Ashish P

机构信息

University of Michigan-Ann Arbor, Ann Arbor, USA.

出版信息

Abdom Radiol (NY). 2025 Jun 27. doi: 10.1007/s00261-025-05088-3.


DOI:10.1007/s00261-025-05088-3
PMID:40576669
Abstract

Artificial intelligence (AI) algorithms and deep learning continue to change the landscape of radiology. New algorithms promise to enhance diagnostic accuracy, improve workflow efficiency, and automate repetitive tasks. This article provides a narrative review of the FDA-cleared AI algorithms which are commercially available in the United States as of late 2024 and targeted toward assessment of abdominopelvic organs and related diseases, evaluates potential advantages of using AI, and suggests future directions for the field.

摘要

人工智能(AI)算法和深度学习不断改变着放射学的格局。新算法有望提高诊断准确性、提升工作流程效率并实现重复性任务的自动化。本文对截至2024年末在美国可商业获取的、经美国食品药品监督管理局(FDA)批准的、针对腹盆腔器官及相关疾病评估的AI算法进行了叙述性综述,评估了使用AI的潜在优势,并提出了该领域未来的发展方向。

相似文献

[1]
Practical applications of AI in body imaging.

Abdom Radiol (NY). 2025-6-27

[2]
A deep learning approach to direct immunofluorescence pattern recognition in autoimmune bullous diseases.

Br J Dermatol. 2024-7-16

[3]
Leadership in radiology in the era of technological advancements and artificial intelligence.

Eur Radiol. 2025-6-27

[4]
Artificial intelligence for detecting keratoconus.

Cochrane Database Syst Rev. 2023-11-15

[5]
Artificial intelligence entering the pathology arena in oncology: current applications and future perspectives.

Ann Oncol. 2025-4-28

[6]
Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.

J Med Internet Res. 2023-4-4

[7]
The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia.

Therap Adv Gastroenterol. 2025-6-23

[8]
Uses of Different Machine Learning Algorithms for Diagnosis of Dental Caries.

J Healthc Eng. 2022

[9]
AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

J Med Internet Res. 2025-6-23

[10]
Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.

J Nephrol. 2024-1

本文引用的文献

[1]
AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential.

Cureus. 2024-4-6

[2]
A Review of the Clinical Applications of Artificial Intelligence in Abdominal Imaging.

Diagnostics (Basel). 2023-9-8

[3]
Impact of Artificial Intelligence-Assisted Indication Selection on Appropriateness Order Scoring for Imaging Clinical Decision Support.

J Am Coll Radiol. 2023-12

[4]
Artificial Intelligence in Body Imaging: An Overview of Commercially Available Tools.

Semin Roentgenol. 2023-4

[5]
Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.

Eur Radiol. 2023-7

[6]
A quantitative MRCP-derived score for medium-term outcome prediction in primary sclerosing cholangitis.

Dig Liver Dis. 2023-3

[7]
Quantitative magnetic resonance cholangiopancreatography metrics are associated with disease severity and outcomes in people with primary sclerosing cholangitis.

JHEP Rep. 2022-9-3

[8]
Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study.

Tomography. 2022-8-13

[9]
A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.

Eur Radiol. 2023-1

[10]
MRI-Based Characterization of Intestinal Motility in Children and Young Adults With Newly Diagnosed Ileal Crohn Disease Treated by Biologic Therapy: A Controlled Prospective Study.

AJR Am J Roentgenol. 2022-10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索