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The 2024 Artificial Intelligence in Diagnostic Imaging Landscape

Publisher IMV Medical Information
Published Oct 23, 2024
Length 56 Pages
SKU # TMG19272153

Description

The 2024 Artificial Intelligence in Diagnostic Imaging Landscape


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 MRI, 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

56 Pages
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

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