A Novel Automatic Algorithm to Support Lung Ultrasound Non-Expert Physicians in Interstitial Pneumonia Evaluation: A Single-Center Study.

Marialuisa Sveva Marozzi Sebastiano CiccoFrancesca ManciniFrancesco CorvasceFiorella Anna LombardiVanessa DesantisLuciana LoponteTiziana GilibertiClaudia Maria MorelliStefania LongoGianfranco Lauletta Antonio Giovanni Solimando Roberto Ria Angelo Vacca

Published in: Diagnostics (Basel, Switzerland) (2024)

Our data suggest that the considered AI automatic algorithm may assist non-expert physicians in LUS, resulting in non-inferior-to-expert LUS despite a tendency to overestimate ILD lesions. Therefore, the AI algorithm has the potential to support physicians, particularly non-expert LUS sonographers, in daily clinical practice to monitor patients with ILDs. The adopted device is user-friendly, offering a fully automatic real-time analysis. However, it needs proper training in basic skills.

Keyphrases

clinical practice
deep learning
machine learning
artificial intelligence
primary care
neural network
big data
magnetic resonance imaging
physical activity
computed tomography
idiopathic pulmonary fibrosis
virtual reality
contrast enhanced ultrasound