诊断影像中的人工智慧：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个工作天内

价格

简介目录

人工智慧 (AI) 正在以无数方式影响医疗保健，包括对诊断影像的影响。这是由于对目视检查的依赖增加、对增加程序的需求、每次扫描所需的数据分析增加、错误/成本减少以及特定计算工具的开发使人工智能引导的决策更加实用等。

基于人工智慧的应用正在对放射学产生重大影响。近年来，人工智慧在诊断影像领域做出了巨大贡献。这些贡献对临床决策支援、医院营运工作流程和监管机构都有影响。本报告总结了这些变化，并提供了影响特定影像方式（包括 MR、CT、超音波、X 光和 PET）的临床和技术创新的具体范例。

本报告对诊断影像中的人工智慧进行了调查，总结了市场概况、人工智慧在诊断影像中的引入趋势、研究和临床进展、放射学领域的业务状况、人工智慧法规等。

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