画像診断における人工知能：2024年

人工知能（AI）はヘルスケアに数え切れないほどの影響を及ぼしていますが、画像診断への影響もその1つです。これは、視診への依存、増加する手技に向けた需要、スキャンごとに必要なデータ解析の増加、エラー/コストの削減、AIが導く判断をはるかに実用的なものにする特定のコンピューティングツールの開発などによるものです。

人工知能ベースの応用は、放射線医学市場に大きな影響を与えています。近年、画像診断分野にAIが大きく貢献しています。これらの貢献は、臨床意思決定支援、病院業務ワークフロー、規制機関に影響を与えています。

当レポートでは、画像診断における人工知能市場について調査し、人工知能の進歩が医療用画像診断市場にどのような影響を及ぼしているか、画像診断におけるAIの導入、画像診断分野における主要企業の主要な開発動向をまとめるとともに、画像診断AIに関連する130社以上の企業プロファイルも掲載しています。

目次

概要

• 画像診断における人工知能：2024年

エグゼクティブサマリー

画像診断におけるAIの導入

• 2024年の放射線科の用途
  • ワークフロー
  • 臨床意思決定支援と画像分析
• 放射線医学における大規模言語モデル（LLM）
  • 放射線科におけるLLMの活用
• マルチモーダルAIモデルと画像診断

AI研究と画像診断における臨床的進歩

• AI導入によるPACSとエンタープライズシステムの進化

さまざまなモダリティにおけるAIプライマリデータ

• 放射線科におけるAIアプリケーションの早期導入
• AIの応用における放射線学の使用事例の優先順位付け
• AIの検討と利用

放射線科におけるAIのビジネス情勢

• ニュースで取り上げられたAIソフトウェア企業
• AIにおける画像診断会社のリーダー
  • GE Healthcare
  • Siemens Healthineers
  • Philips Healthcare
• AI分野のテクノロジー企業リーダー
• 画像AIに関わる企業プロファイル
  • 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規制

• AI市場承認プロセス
• その他の世界のAIコラボレーター

結論

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