Cargando…
Practical implementation of artificial intelligence algorithms in pulmonary auscultation examination
Lung auscultation is an important part of a physical examination. However, its biggest drawback is its subjectivity. The results depend on the experience and ability of the doctor to perceive and distinguish pathologies in sounds heard via a stethoscope. This paper investigates a new method of autom...
Autores principales: | Grzywalski, Tomasz, Piecuch, Mateusz, Szajek, Marcin, Bręborowicz, Anna, Hafke-Dys, Honorata, Kociński, Jędrzej, Pastusiak, Anna, Belluzzo, Riccardo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511356/ https://www.ncbi.nlm.nih.gov/pubmed/30927097 http://dx.doi.org/10.1007/s00431-019-03363-2 |
Ejemplares similares
-
The accuracy of lung auscultation in the practice of physicians and medical students
por: Hafke-Dys, Honorata, et al.
Publicado: (2019) -
Artificial Intelligence Approach to the Monitoring of Respiratory Sounds in Asthmatic Patients
por: Hafke-Dys, Honorata, et al.
Publicado: (2021) -
The discerning ear: cardiac auscultation in the era of artificial intelligence and telemedicine
por: Jani, Vivek, et al.
Publicado: (2021) -
Artificial intelligence-assisted auscultation in detecting congenital heart disease
por: Lv, Jingjing, et al.
Publicado: (2021) -
Real-World Verification of Artificial Intelligence Algorithm-Assisted Auscultation of Breath Sounds in Children
por: Zhang, Jing, et al.
Publicado: (2021)