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Stroke Post Processing Software Market Trends
- Report ID: GMI9428
- Published Date: May 2024
- Report Format: PDF
Stroke Post Processing Software Market Trends
- The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies is driving growth in the stroke post-processing software market. These technologies excel in analyzing medical imaging data, detecting abnormalities, and forecasting patient outcomes.
- Integrating AI and ML into stroke software enables automated lesion segmentation, quantitative analysis, and predictive modeling based on imaging data. These advancements enhance diagnostic accuracy, treatment planning, and offer potential insights into stroke mechanisms for identifying new therapeutic avenues.
Frequently Asked Questions (FAQ) :
Stroke post processing software market size was valued at USD 169.1 million in 2023 and is estimated to grow at 8.4% CAGR from 2024 to 2032, owing to the increasing prevalence of strokes globally.
The desktop segment in the market is expected to reach USD 220.2 million by 2032, backed by advanced features, such as intricate image analysis, comprehensive reporting tools.
U.S. stroke post processing software market is anticipated to reach USD 126.3 million by 2032, attributed to aging population, sedentary lifestyles, and increasing prevalence of risk factors such as hypertension and diabetes.
Agfa-Gevaert NV, Aidoc, Avicenna.AI, Brainomix, Canon Inc., F. Hoffmann-La Roche Ltd., GE HealthCare Technologies Inc., icometrix, Koninklijke Philips N.V., Nicolab B.V., RapidAI and Siemens Healthineers AG
Stroke Post Processing Software Market Scope
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