診斷影像中的人工智慧：2023

The 2023 Artificial Intelligence in Diagnostic Imaging Landscape

出版日期: 2023年10月03日 | 出版商:

IMV Medical Information | 英文 40 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) 正在以無數方式影響醫療保健，包括對診斷影像的影響。這是由於對目視檢查的依賴增加、對增加程序的需求、每次掃描所需的數據分析增加、錯誤/成本減少以及特定計算工具的開發使人工智能引導的決策更加實用等。

基於人工智慧的應用正在對放射學產生重大影響。近年來，人工智慧在診斷影像領域做出了巨大貢獻。這些貢獻對臨床決策支援、醫院營運工作流程和監管機構都有影響。本報告總結了這些變化，並提供了影響特定影像方式（包括 MR、CT、超音波、X 光和 PET）的臨床和技術創新的具體範例。

本報告對診斷影像中的人工智慧進行了調查，總結了市場概況、人工智慧在診斷影像中的引入趨勢、研究和臨床進展、放射學領域的業務狀況、人工智慧法規等。

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, Ultrasound, X-ray and PET.

The report also consolidates AI survey data from 2021 through 2023 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 130 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.

OVERVIEW

The 2023 Artificial Intelligence in Diagnostic Imaging Landscape

EXECUTIVE SUMMARY

AI ADOPTION IN DIAGNOSTIC IMAGING

Radiology Department Uses in 2023
- Workflow
- Clinical Decision Support & Image Analysis
Large Language Models (LLM) in Radiology
- Use of General LLMs in Radiology
Multimodal AI Models & Diagnostic Imaging

AI RESEARCH & CLINCIAL ADVANCES IN IMAGING

AI Direction in Radiology PACS & Enterprise Imaging Systems

AI PRIMARY DATA ACROSS MODALITIES

Early Adoption of AI Applications in Radiology
Prioritization of Radiology Use Cases for AI Applications

BUSINESS LANDSCAPE OF AI IN RADIOLOGY

AI Software Companies in the News
Diagnostic Imaging Company Leaders in AI
- GE Healthcare
- Philips Healthcare
  - Diagnosis and Treatment
  - Connected Care
- Siemens Healthineers
The Veterans Administration and AI
Profiles of Companies Involved in Imaging AI

AI REGULATION

AI Market Approval Processes
- FDA and AI Regulation
- FDA AI Program Approvals
- CE Mark and AI
Other Global AI Collaborators
- Good Machine Learning Practice (GMLP)
- Digital Health Collaborations