Back to search

Article

Artificial Intelligence for Lung Ultrasound Interpretation: A Systematic Review

2026-06-23

Abstract excerpt

Context and objectives: Lung ultrasound (LUS) is a safe low-cost tool that enables diagnosis, monitoring and guidance for interventional procedures at the patient's bedside. However, its expansion is hindered by a lack of training programs and the inherent difficulty of interpreting ultrasound images. In this context, Artificial Intelligence (AI) is emerging as a supportive tool for LUS interpretation, ensuring di...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9133a161-4bf5-50f9-91e0-ca8c84a3b143
DOI
10.20944/preprints202606.1688.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence for Lung Ultrasound Interpretation: A Systematic ReviewDOI 10.20944/preprints202606.1688.v1
Select a neighboring publication to make it the new centre.