Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

Purpose To systematically review the use of artificial intelligence (AI) in musculoskeletal
(MSK) ultrasound (US) with an emphasis on AI algorithm categories and validation …

One of the main challenges in deep learning-based underwater image enhancement is the
limited availability of high-quality training data. Underwater images are difficult to capture …

Underwater fish segmentation to estimate fish body measurements is still largely unsolved
due to the complex underwater environment. Relying on fully-supervised segmentation …

Subacromial motion metrics can be extracted from dynamic shoulder ultrasonography,
which is useful for identifying abnormal motion patterns in painful shoulders. However, frame …

Background In recent years, the integration of artificial intelligence (AI) techniques into
medical imaging has shown great potential to transform the diagnostic process. This review …

Background and Objectives: We aimed to develop a predictive model for the outcome of
bruxism treatments using ultrasonography (USG)-based machine learning (ML) techniques …

Aim This scoping review aims to assess the utility of ultrasound as a prospective tool in
measuring body composition and nutritional status in the paediatric population. We provide …

Ultrasound imaging plays a crucial role in assessing disease and making diagnoses for a
range of conditions, especially so in low-to-middle-income (LMIC) countries. One such …