Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit
<p><strong>Background:</strong> Interpreting point-of-care lung ultrasound (LUS) images from intensive care unit (ICU) patients can be challenging, especially in low- and middle- income countries (LMICs) where there is limited training available. Despite recent advances in the use...
Päätekijät: | Nhat, PTH, Van Hao, N, Tho, PV, Kerdegari, H, Pisani, L, Thu, LNM, Phuong, LT, Duong, HTH, Thuy, DB, McBride, A, Xochicale, M, Schultz, MJ, Razavi, R, King, AP, Thwaites, L, Van Vinh Chau, N, Yacoub, S, Gomez, A |
---|---|
Muut tekijät: | VITAL Consortium |
Aineistotyyppi: | Journal article |
Kieli: | English |
Julkaistu: |
BioMed Central
2023
|
Samankaltaisia teoksia
-
Automatic detection of B-lines in lung ultrasound videos from severe dengue patients
Tekijä: Kerdegari, H, et al.
Julkaistu: (2021) -
Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients
Tekijä: Nhat, PTH, et al.
Julkaistu: (2024) -
Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit
Tekijä: Phung Tran Huy Nhat, et al.
Julkaistu: (2023-07-01) -
B-Line Detection and Localization in Lung Ultrasound Videos Using Spatiotemporal Attention
Tekijä: Hamideh Kerdegari, et al.
Julkaistu: (2021-12-01) -
B-line detection and localization in lung ultrasound videos using spatiotemporal attention
Tekijä: Kerdegari, H, et al.
Julkaistu: (2021)