Medical Xpress November 29, 2024
Although crackles have long been regarded as a hallmark finding in physical examinations, a new study has revealed their unreliability not only among human physicians but also in artificial intelligence systems.
Auscultation has long been a valuable tool for diagnosing diseases and assessing their severity in a real-time, non-invasive, and cost-effective manner. However, the reliability of breath sound interpretation is heavily dependent on physicians’ experience, preferences, and auscultatory skills. Additionally, the inherent characteristics of adventitious breath sounds pose significant classification challenges. More importantly, artificial intelligence (AI) encounters similar difficulties.
In collaboration, the Emergency Department of National Taiwan University Hospital Hsinchu Branch and the Department of Electrical Engineering at National Tsing Hua University established an online breath sound database named the...
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