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Artificial Intelligence (AI) Radiology Tool Global Market Report 2024 - By Report, Size, Share And Industry Trends, Forecast To 2033
Artificial Intelligence (AI) Radiology Tool Market
As per the report, the artificial intelligence (AI) radiology tool market size has grown rapidly in recent years. It will grow from $1.26 billion in 2023 to $1.48 billion in 2024 at a compound annual growth rate (CAGR) of 17.8%. The artificial intelligence (AI) radiology tool market size is expected to see rapid growth in the next few years. It will grow to $2.88 billion in 2028 at a compound annual growth rate (CAGR) of 18.1%.
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Personalized Medicine Drives Growth In AI Radiology Tool Market
The increasing shift toward personalized medicine is expected to propel the growth of the artificial intelligence (AI) radiology tool market going forward. Personalized medicine, also known as precision medicine, is an innovative medical approach that tailors treatment and healthcare strategies to the individual characteristics of each patient. The increasing shift toward personalized medicine is driven by a combination of crucial elements, such as progress in genomics and molecular biology. AI radiology tools enhance personalized medicine by providing precise diagnostics, predictive analytics, real-time treatment response monitoring, integration with genomic data, and improved patient stratification, enabling individualized and effective healthcare interventions. For instance, in February 2024, according to the Personalized Medicine Coalition, a US-based non-profit organization, the FDA approved 16 novel personalized therapies for patients with rare diseases in 2023, compared to six in 2022. Therefore, the increasing shift toward personalized medicine drives the artificial intelligence (AI)radiology tool market.
Radiology Partners Launches RPX AI To Revolutionize Diagnostic Capabilities With Advanced AI Platform
Major companies operating in the artificial intelligence (AI) radiology tool market are developing advanced solutions, such as artificial intelligence platforms, to enhance the diagnostic capabilities of radiologists. Advanced artificial intelligence platform integrates AI algorithms to analyze medical imaging data, providing radiologists with augmented insights and aiding in the accurate detection and diagnosis of various medical conditions. For instance, in November 2023, Radiology Partners (RP), a US-based radiology practice company, launched RPX AI, a cloud-based advanced artificial intelligence platform for rapidly deploying AI medical imaging tools at scale, utilizing Amazon Web Services (AWS) HealthImaging. This platform aims to simplify the integration and implementation process for medical imaging AI models, making them more accessible and efficient for hospitals and health systems.
The artificial intelligence (AI) radiology tool market covered in this report is segmented -
1) By Type: Diagnostic Radiology, Interventional Radiology
2) By Application: Eye Care, Oncology, Radiology, Cardiovascular, Pathology, Other Applications
3) By End-User: Clinics, Hospitals, Diagnostic Centers, Other End-Users
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Major companies operating in the artificial intelligence (AI) radiology tool market are Google LLC, Samsung Electronics Co. Ltd, Microsoft Corporation, Intel Corporation, International Business Machines Corp., NVIDIA Corporation, Siemens Healthcare Private Limited, Koninklijke Philips N.V., GE HealthCare, Nuance Communications Inc., Aidoc Medical, OXOS Medical, Subtle Medical Inc., Enlitic Inc., Arterys Inc., Aidence.com, Oxipit.ai, Zebra Medical Vision, CellmatiQ GmbH, Azmed
Contents of the report:
1. Executive Summary
2. Artificial Intelligence (AI) Radiology Tool Market Report Structure
3. Artificial Intelligence (AI) Radiology Tool Market Trends And Strategies
4. Artificial Intelligence (AI) Radiology Tool Market - Macro Economic Scenario
5. Artificial Intelligence (AI) Radiology Tool Market Size And Growth
…..
27. Artificial Intelligence (AI) Radiology Tool Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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