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
- Marketing Managers
- Product Managers
- Marketing Directors
- Sales Managers
- Analysts
- 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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