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Articles, white papers, and commentary on innovations in ultrasound, data and AI |
CategoriesAll AI & Ultrasound Commercialization Integration With Med Devices Quantitative Ultrasound Wearable Ultrasound |
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3/1/2025 Moving From Eyeballs to Algorithms
2/21/2025 Annotation and Data-driven Ultrasound AI Needs and Challenges of Annotation for Ultrasound Data AI Interpretation
The integration of artificial intelligence (AI) in medical imaging has led to significant advancements in diagnostics, treatment planning, and patient care. Ultrasound imaging, in particular, presents unique challenges and opportunities due to its real-time imaging capability, cost-effectiveness, and non-invasive nature. However, for AI models to effectively interpret ultrasound data, high-quality annotated datasets are crucial. This white paper explores the needs and challenges associated with annotation for ultrasound AI interpretation. The Need for Annotation in Ultrasound AI Annotated datasets are fundamental to training AI models to recognize anatomical structures, detect pathologies, and assist in clinical decision-making. |
DisclaimerArticles are intended for informational and discussion purposes only. Cephasonics makes no representations, warranties, or assurances as to the accuracy, currency, or completeness of the information provided. |
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