Academic Journal
Recent Advances in Artificial Intelligence-Assisted Ultrasound Scanning
| العنوان: | Recent Advances in Artificial Intelligence-Assisted Ultrasound Scanning |
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| المؤلفون: | Tenajas, Rebeca, Miraut, David, Illana, Carlos I., Alonso González, Rodrigo, Arias Valcayo, Fernando, López Herráiz, Joaquín |
| بيانات النشر: | MDPI |
| سنة النشر: | 2023 |
| المجموعة: | Universidad Complutense de Madrid (UCM): E-Prints Complutense |
| مصطلحات موضوعية: | 539.1, Standard plane localization, Deep, Classification, Física nuclear, 2207 Física Atómica y Nuclear |
| الوصف: | Funded by the Spanish Ministry of Economic Affairs and Digital Transformation (Project MIA.2021.M02.0005 TARTAGLIA, from the Recovery, Resilience, and Transformation Plan financed by the European Union through Next Generation EU funds). TARTAGLIA takes place under the R&D Missions in Artificial Intelligence program, which is part of the Spain Digital 2025 Agenda and the Spanish National Artificial Intelligence Strategy. ; Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam procedure in many different clinical cases. It benefits from the continued evolution of ultrasonic technologies and a well-established US-based digital health system. Nevertheless, its diagnostic performance still presents challenges due to the inherent characteristics of US imaging, such as manual operation and significant operator dependence. Artificial intelligence (AI) has proven to recognize complicated scan patterns and provide quantitative assessments for imaging data. Therefore, AI technology has the potential to help physicians get more accurate and repeatable outcomes in the US. In this article, we review the recent advances in AI-assisted US scanning. We have identified the main areas where AI is being used to facilitate US scanning, such as standard plane recognition and organ identification, the extraction of standard clinical planes from 3D US volumes, and the scanning guidance of US acquisitions performed by humans or robots. In general, the lack of standardization and reference datasets in this field makes it difficult to perform comparative studies among the different proposed methods. More open-access repositories of large US datasets with detailed information about the acquisition are needed to facilitate the development of this very active research field, which is expected to have a very positive impact on US imaging. ; Depto. de Estructura de la Materia, Física Térmica y Electrónica ; Fac. de Ciencias Físicas ; TRUE ; Ministry of Economic Affairs and Digital Transformation from the ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2076-3417 |
| Relation: | MIA.2021.M02.0005 TARTAGLIA; http://dx.doi.org/10.3390/app13063693; https://www.mdpi.com/; https://hdl.handle.net/20.500.14352/72357 |
| DOI: | 10.3390/app13063693 |
| الاتاحة: | https://hdl.handle.net/20.500.14352/72357 https://doi.org/10.3390/app13063693 https://www.mdpi.com/ |
| Rights: | Atribución 3.0 España ; open access ; https://creativecommons.org/licenses/by/3.0/es/ |
| رقم الانضمام: | edsbas.7A8A4B87 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20763417 |
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| DOI: | 10.3390/app13063693 |