Peer-Reviewed Publication
Rev Med Suisse2026;22(957):661-664.April 8, 2026Journal Article

[AI-assisted radiology in the management of respiratory infections].

Nicola De Pasquale1, David Rotzinger2, Chiara Pozzessere2, Noémie Boillat-Blanco1, Véronique Suttels3
1Service des maladies infectieuses, Centre hospitalier universitaire vaudois et Université de Lausanne, 1011 Lausanne.
2Service de radiologie, Centre hospitalier universitaire vaudois et Université de Lausanne, 1011 Lausanne.
3LiGHT Laboratory, École polytechnique fédérale de Lausanne, 1015 Lausanne.

Abstract

Respiratory infections are among the leading causes of consultation in primary care and emergency settings and account for substantial healthcare resource use. Their management relies heavily on chest imaging, particularly radiography and, more recently, lung ultrasound. Artificial intelligence (AI) applied to these modalities offers new opportunities to improve anomaly detection, reduce interobse…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.