PubMed
open access
CC BY 4.0
Chest auscultation - tradition and expectations
AI-assisted digital stethoscopes can classify heart and lung sounds with accuracy comparable to or exceeding that of the average clinician and help the physician in the diagnostic process. With this essay we want to discuss benefits and downsides of this new technology. Will proficiency in auscultat
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Chest auscultation - tradition and expectations <i>Concerns and promises in the era of smart stethoscopes</i>#1157736
- Clinical Evaluation of AI-aided Auscultation With Automatic Classification of Respiratory System Sounds#1139128
- Innoventric Trillium™ Stent Graft First-in-Human (FIH) Study#848327
- Assessmet of Patients With PAH Right Ventricular Volume#856794
- An Educational Intervention to Improve the Success of Intubation in Newborns Using a Video Laryngoscope by Reducing the Time the Procedure Takes.#893885
Record · ID 1121234
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive