Overcoming barriers in the use of artificial intelligence in point of care ultrasound.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 40253547.
- Also identified by DOI 10.1038/s41746-025-01633-y and PMC identifier 12009405.
- Licence recorded as CC BY-NC-ND.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
Point-of-care ultrasound is a portable, low-cost imaging technology focused on answering specific clinical questions in real time. Artificial intelligence amplifies its capabilities by aiding clinicians in the acquisition and interpretation of the images; however, there are growing concerns on its effectiveness and trustworthiness. Here, we address key issues such as population bias, explainability and training of artificial intelligence in this field and propose approaches to ensure clinical effectiveness.