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市场调查报告书
商品编码
1786121
影像诊断的人工智能的展望(2025年)The 2025 Artificial Intelligence in Diagnostic Imaging Landscape |
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人工智慧 (AI) 对医疗保健领域的影响数不胜数，但其对诊断影像的影响最为显着。这得益于对目视检查的依赖减少、对流程的需求增加、每次扫描所需的数据分析增加、错误和成本降低，以及特定计算工具的开发，这些工具使得 AI 引导的决策更具可操作性。
基于人工智慧的应用正在对放射学市场产生重大影响。近年来，AI 在诊断成像领域做出了重大贡献。这些贡献影响了临床决策支援、医院工作流程和监管机构。本报告总结了这些变化，并提供了影响特定诊断影像模式（包括磁振造影 (MR)、CT、X 光和乳房 X 光摄影）的临床和技术创新的具体范例。
本报告整合了2024年至2025年的AI调查数据，并整合了市场展望报告系列，总结了行业对AI的看法以及按模式和身体部位划分的用例偏好。
本报告也总结了诊断影像领域主要公司的关键发展，并介绍了200多家与诊断影像AI相关的公司。
本报告的关键主题
- AI在诊断影像的应用
- AI在诊断影像领域的研究与临床进展
- 跨模式AI的原始数据
- AI在诊断影像领域的商业前景
- AI监管
对于任何想要深入了解人工智慧进步如何影响医学诊断影像市场的人来说，本报告都是理想的选择。这份报告是以下人士的理想资源：
- 行销管理者
- product manager
- 行销总监
- 销售管理者
- 分析师
几乎所有从事诊断影像设备製造、医院和医疗保健系统、咨询、投资或金融业的人。本报告将帮助您快速了解最新发展动态并规划未来。
目录
- 执行摘要
- AI 在诊断放射学的应用
- 影像分析与临床决策支持
- AI 模型在放射学的应用
- 包含影像处理在内的多模态 AI 模型
- 不同模态诊断影像中 AI 的主要临床进展
- AI 在影像系统的商业前景
- 各种模态的原始 AI 数据
- AI 在放射学的早期应用
- AI 应用的放射学用例优先排序
- AI 的考量与利用
- 影像 AI 公司简介
- 併购活动、伙伴关係等
- AI 法规
- FDA AI 项目批准
- CE 标誌与 AI
- 结论
Artificial intelligence (AI) is influencing healthcare in countless ways, and its impact on diagnostic imaging is one of the greatest. This is due to the dependence on visual examination, demand for increased procedures, more data analysis required per scan, error/cost reduction, and the development of specific computing tools that make AI-guided decisions far more practical.
Artificial intelligence based applications are having a significant impact on the radiology marketplace. In recent years there have been significant contributions from AI to the field of diagnostic imaging. These contributions have impacted clinical decision support, hospital operations workflows and regulation agencies. This report summarizes these changes and highlights specific examples of clinical and technical innovations that are impacting specific imaging modalities such as MR, CT, X-ray and mammography.
The report also consolidates AI survey data from 2024 through 2025 from selected reports from our Market Outlook report series and provides a summary of industry perceptions and use case preferences of AI in aggregate as well as broken out by modality and site type.
In addition, the report summarizes major developments from leading companies in the diagnostic imaging field as well as provides a profile of over 200 companies that are involved in the AI in diagnostic imaging industry.
Key Topics Covered in the Report are:
- AI Adoption in Diagnostic Imaging
- AI Research and Clinical Advances in Imaging
- AI Primary Data Across Modalities
- Business Landscape of AI in Radiology
- AI Regulation
This report is ideal for anyone interested in learning more about how advancements in artificial intelligence are impacting the medical diagnostic imaging market. It is a great resource for:
- Marketing Managers
- Product Managers
- Marketing Directors
- Sales Managers
- Analysts
Basically, anyone that works in diagnostic imaging equipment manufacturing, hospital and healthcare systems, consulting, investment or finance. This report is a great way to get a quick overview of recent developments and help to plan for what lies ahead.
TABLE OF CONTENTS
- EXECUTIVE SUMMARY
- AI ADOPTION IN RADIOLOGY IMAGING
- IMAGE ANALYSIS AND CLINICAL DECISION SUPPORT
- AI MODEL USAGE IN RADIOLOGY
- MULTIMODAL AI MODELS INVOLVING IMAGING
- KEY CLINICAL ADVANCES OF AI IN IMAGING BY MODALITY
- BUSINESS LANDSCAPE OF AI IN IMAGING SYSTEMS
- AI PRIMARY DATA ACROSS MODALITIES
- EARLY ADOPTION OF AI APPLICATIONS IN RADIOLOGY
- PRIORITIZATION OF RADIOLOGY USE CASES FOR AI APPLICATIONS
- AI CONSIDERATION AND USAGE
- PROFILES OF COMPANIES INVOLVED IN IMAGING AI
- M&A ACTIVITY, PARTNERSHIPS, ETC.
- AI REGULATION
- FDA AI PROGRAM APPROVALS
- CE MARK AND AI
- CONCLUSION
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