The future of Neonatal Lung Ultrasound: validation of an Artificial Intelligence model for interpreting lung scans. A multicentre prospective diagnostic study.
Abstract:Background Artificial intelligence (AI) is a promising field in
the neonatal field. We focused on lung ultrasound (LUS), a
useful tool for the neonatologist. Our aim was to train a neural network
to create a model able to interpret LUS. Methods Our
multicentric, prospective study included newborns with gestational age
(GA) ≥ 33+0 weeks with early tachypnea/dyspnea/oxygen requirements. For
each baby, three LUS were performed: within 3 hours of life (T0), at
4–6 hours of life (T1) and in the absence of respirat… Show more
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