[HTML][HTML] Artificial intelligence for ultrasound scanning in regional anaesthesia: a sco** review of the evidence from multiple disciplines

JS Bowness, D Metcalfe, K El-Boghdadly… - British Journal of …, 2024 - Elsevier
Background Artificial intelligence (AI) for ultrasound scanning in regional anaesthesia is a
rapidly develo** interdisciplinary field. There is a risk that work could be undertaken in …

Usfm: A universal ultrasound foundation model generalized to tasks and organs towards label efficient image analysis

J Jiao, J Zhou, X Li, M **a, Y Huang, L Huang… - Medical Image …, 2024 - Elsevier
Inadequate generality across different organs and tasks constrains the application of
ultrasound (US) image analysis methods in smart healthcare. Building a universal US …

[HTML][HTML] Advanced ultrasound and photoacoustic imaging in cardiology

M Wu, N Awasthi, NM Rad, JPW Pluim, RGP Lopata - Sensors, 2021 - mdpi.com
Cardiovascular diseases (CVDs) remain the leading cause of death worldwide. An effective
management and treatment of CVDs highly relies on accurate diagnosis of the disease. As …

Brachial plexus nerve trunk recognition from ultrasound images: A comparative study of deep learning models

D Tian, B Zhu, J Wang, L Kong, B Gao, Y Wang… - IEEE …, 2022 - ieeexplore.ieee.org
Brachial plexus block is a common regional anesthesia method widely used in upper limb
surgery. Nowadays, ultrasound-guided brachial plexus block has been extensively used in …

A multiscale attentional unet model for automatic segmentation in medical ultrasound images

R Wang, H Zhou, P Fu, H Shen, Y Bai - Ultrasonic Imaging, 2023 - journals.sagepub.com
Ultrasonography has become an essential part of clinical diagnosis owing to its noninvasive,
and real-time nature. To assist diagnosis, automatically segmenting a region of interest …

Explainable hybrid transformer for multi-classification of lung disease using chest X-rays

X Fu, R Lin, W Du, A Tavares, Y Liang - Scientific Reports, 2025 - nature.com
Lung disease is an infection that causes chronic inflammation of the human lung cells, which
is one of the major causes of death around the world. Thoracic X-ray medical image is a well …

Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches

Y Jo, D Lee, D Baek, BK Choi, N Aryal, J Jung… - Scientific Reports, 2023 - nature.com
Successful ultrasound-guided supraclavicular block (SCB) requires the understanding of
sonoanatomy and identification of the optimal view. Segmentation using a convolutional …

Laser diode photoacoustic point source detection: machine learning-based denoising and reconstruction

V Vousten, H Moradi, Z Wu, EM Boctor… - Optics …, 2023 - opg.optica.org
A new development in photoacoustic (PA) imaging has been the use of compact, portable
and low-cost laser diodes (LDs), but LD-based PA imaging suffers from low signal intensity …

BPSegSys: A brachial plexus nerve trunk segmentation system using deep learning

Y Wang, B Zhu, L Kong, J Wang, B Gao, J Wang… - Ultrasound in Medicine …, 2024 - Elsevier
Objective Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual nerve
block anesthesia method that can be used to observe the target nerve and its surrounding …

Single Frame Laser Diode Photoacoustic Imaging: Denoising and Reconstruction

V Vousten, H Moradi, EM Boctor… - arxiv preprint arxiv …, 2022 - arxiv.org
A new development in photoacoustic (PA) imaging has been the use of compact, portable
and low-cost laser diodes (LDs), but LD-based PA imaging suffers from low signal intensity …