Academic Journal
New ultrasound techniques. Present and future.
| العنوان: | New ultrasound techniques. Present and future. |
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| المؤلفون: | Clau Terré, Fernando, Vicho Pereira, Raul, Ayuela Azcárate, Jose Maria, Ruiz Bailén, Manuel |
| المصدر: | Med Intensiva (Engl Ed) ; ISSN:2173-5727 ; Volume:49 ; Issue:1 |
| بيانات النشر: | Elsevier Science |
| سنة النشر: | 2025 |
| المجموعة: | PubMed Central (PMC) |
| مصطلحات موضوعية: | Artificial intelligence, Diagnosis, Diagnóstico, Echocardiography, Ecocardiografía, Ecografía, Imagen médica, Inteligencia artificial, Medical images, Monitoring, Monitorización, Software |
| الوصف: | The present study highlights the advances in ultrasound, especially regarding its clinical applications to critically ill patients. Artificial intelligence (AI) is crucial in automating image interpretation, improving accuracy and efficiency. Software has been developed to make it easier to perform accurate bedside ultrasound examinations, even by professionals lacking prior experience, with automatic image optimization. In addition, some applications identify cardiac structures, perform planimetry of the Doppler wave, and measure the size of vessels, which is especially useful in hemodynamic monitoring and continuous recording. The "strain" and "strain rate" parameters evaluate ventricular function, while "auto strain" automates its calculation from bedside images. These advances, and the automatic determination of ventricular volume, make ultrasound monitoring more precise and faster. The next step is continuous monitoring using gel devices attached to the skin. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | https://doi.org/10.1016/j.medine.2024.09.010; https://pubmed.ncbi.nlm.nih.gov/39368887 |
| DOI: | 10.1016/j.medine.2024.09.010 |
| الاتاحة: | https://doi.org/10.1016/j.medine.2024.09.010 https://pubmed.ncbi.nlm.nih.gov/39368887 |
| Rights: | Copyright © 2024 Elsevier España, S.L.U. and SEMICYUC. All rights reserved. |
| رقم الانضمام: | edsbas.CEC8CEC6 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.medine.2024.09.010 |
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