影像诊断的人工智能:2024年

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。这是由于对视觉检查的依赖增加、对程式的需求增加、每次扫描所需的数据分析增加、错误/成本减少以及使人工智慧引导决策更加实用的特定计算工具的发展。

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，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。

本报告调查了诊断成像中的人工智慧市场、人工智慧的进步如何影响医疗诊断成像市场、人工智慧在诊断成像中的引入以及诊断成像领域的主要公司。家影像诊断AI相关企业的简介。

目录

概要

• 影像诊断的人工智能:2024年

摘要整理

人工智慧在影像诊断中的引入

• 2024 年放射线学的用途
  • 工作流程
  • 临床决策支援与影像分析
• 放射学大语言模型 (LLM)
  • 法学硕士在放射学领域的应用
• 多模态人工智慧模型与影像诊断

人工智慧研究与诊断影像的临床进展

• 透过引进人工智慧来推动 PACS 和企业系统的发展

各种模式的人工智慧原始资料

• 较早引进人工智慧在放射学领域的应用
• 人工智慧应用中放射学用例的优先顺序
• 人工智慧的考虑与使用

人工智慧在放射科的业务现况

• 新闻重点报导的人工智慧软体公司
• 诊断影像公司人工智慧领域的领导者
  • GE Healthcare
  • Siemens Healthineers
  • Philips Healthcare
• AI领域的科技企业领导者
• 影像AI相关企业简介
  • Braid Health
  • CellmatiQ GmbH
  • Covera Health
  • Diagnocat
  • DilenyTech
  • Dr CADx
  • Dyad Medical, Inc.
  • GLEAMER
  • Hasty.ai
  • HeartLab
  • Hexarad Ltd
  • Imagerie.fr
  • Intixel
  • Intelligent Retinal Imaging Systems - IRIS Pensacola, Florida
  • MARS Bioimaging Ltd
  • Mediwhale Olea Medical
  • Persimio
  • Promedius Inc.
  • Quantivly
  • Qubiotech
  • Quibim
  • Rology
  • ROB'E
  • RT MEDICAL SYSTEMS
  • Synapsica

AI法规

• 人工智慧市场审批流程
• 来自世界其他地区的人工智慧合作者

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, Ultrasound, X-ray and PET.

The report also consolidates AI survey data from 2022 through 2024 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.

TABLE OF CONTENTS

OVERVIEW

• The 2024 Artificial Intelligence in Diagnostic Imaging Landscape

EXECUTIVE SUMMARY

AI ADOPTION IN DIAGNOSTIC IMAGING

• Radiology Department Uses in 2024
  • 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

• PACS & Enterprise System Evolution with AI Adoption

AI PRIMARY DATA ACROSS MODALITIES

• Early Adoption of AI Applications in Radiology
• Prioritization of Radiology Use Cases for AI Applications
• AI Consideration and Usage

BUSINESS LANDSCAPE OF AI IN RADIOLOGY

• AI Software Companies in the News
• Diagnostic Imaging Company Leaders in AI
  • GE Healthcare
  • Siemens Healthineers
  • Philips Healthcare
• Technology Company Leaders in AI
• Profiles of Companies Involved in Imaging AI
  • Braid Health
  • CellmatiQ GmbH
  • Covera Health
  • Diagnocat
  • DilenyTech
  • Dr CADx
  • Dyad Medical, Inc.
  • GLEAMER
  • Hasty.ai
  • HeartLab
  • Hexarad Ltd
  • Imagerie.fr
  • Intixel
  • Intelligent Retinal Imaging Systems - IRIS Pensacola, Florida
  • MARS Bioimaging Ltd
  • Mediwhale
  • Olea Medical
  • Persimio
  • Promedius Inc.
  • Quantivly
  • Qubiotech
  • Quibim
  • Rology
  • ROB'E
  • RT MEDICAL SYSTEMS
  • Synapsica

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)

CONCLUSION