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DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.
Heitmann J, Glangetas A, Doenz J, Dervaux J, Shama DM, Garcia DH, Benissa MR, Cantais A, Perez A, Müller D, Chavdarova T, Ruchonnet-Metrailler I, Siebert JN, Lacroix L, Jaggi M, Gervaix A, Hartley MA; with the Pneumoscope Study Group. Heitmann J, et al. Among authors: jaggi m. NPJ Digit Med. 2023 Jun 2;6(1):104. doi: 10.1038/s41746-023-00838-3. NPJ Digit Med. 2023. PMID: 37268730 Free PMC article.
Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.
Glangetas A, Hartley MA, Cantais A, Courvoisier DS, Rivollet D, Shama DM, Perez A, Spechbach H, Trombert V, Bourquin S, Jaggi M, Barazzone-Argiroffo C, Gervaix A, Siebert JN. Glangetas A, et al. Among authors: jaggi m. BMC Pulm Med. 2021 Mar 24;21(1):103. doi: 10.1186/s12890-021-01467-w. BMC Pulm Med. 2021. PMID: 33761909 Free PMC article. Clinical Trial.
Assessment of Fatigue Using Wearable Sensors: A Pilot Study.
Luo H, Lee PA, Clay I, Jaggi M, De Luca V. Luo H, et al. Among authors: jaggi m. Digit Biomark. 2020 Nov 26;4(Suppl 1):59-72. doi: 10.1159/000512166. eCollection 2020 Winter. Digit Biomark. 2020. PMID: 33442581 Free PMC article.
256 results