影像診斷的人工智能的展望(2025年)

The 2025 Artificial Intelligence in Diagnostic Imaging Landscape

出版日期: 2025年08月07日 | 出版商:

IMV Medical Information | 英文 59 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

人工智慧 (AI) 對醫療保健領域的影響數不勝數，但其對診斷影像的影響最為顯著。這得益於對目視檢查的依賴減少、對流程的需求增加、每次掃描所需的數據分析增加、錯誤和成本降低，以及特定計算工具的開發，這些工具使得 AI 引導的決策更具可操作性。

基於人工智慧的應用正在對放射學市場產生重大影響。近年來，AI 在診斷成像領域做出了重大貢獻。這些貢獻影響了臨床決策支援、醫院工作流程和監管機構。本報告總結了這些變化，並提供了影響特定診斷影像模式（包括磁振造影 (MR)、CT、X 光和乳房 X 光攝影）的臨床和技術創新的具體範例。

本報告整合了2024年至2025年的AI調查數據，並整合了市場展望報告系列，總結了行業對AI的看法以及按模式和身體部位劃分的用例偏好。

本報告也總結了診斷影像領域主要公司的關鍵發展，並介紹了200多家與診斷影像AI相關的公司。

本報告的關鍵主題

AI在診斷影像的應用
AI在診斷影像領域的研究與臨床進展
跨模式AI的原始數據
AI在診斷影像領域的商業前景
AI監管

對於任何想要深入了解人工智慧進步如何影響醫學診斷影像市場的人來說，本報告都是理想的選擇。這份報告是以下人士的理想資源：

行銷管理者
product manager
行銷總監
銷售管理者
分析師

幾乎所有從事診斷影像設備製造、醫院和醫療保健系統、諮詢、投資或金融業的人。本報告將幫助您快速了解最新發展動態並規劃未來。

執行摘要
AI 在診斷放射學的應用
影像分析與臨床決策支持
AI 模型在放射學的應用
包含影像處理在內的多模態 AI 模型
不同模態診斷影像中 AI 的主要臨床進展
AI 在影像系統的商業前景
各種模態的原始 AI 數據
- AI 在放射學的早期應用
- AI 應用的放射學用例優先排序
- AI 的考量與利用
影像 AI 公司簡介
併購活動、夥伴關係等
AI 法規
FDA AI 項目批准
CE 標誌與 AI
結論

簡介目錄

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.

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