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The unreliability of crackles: insights from a breath sound study using physicians and artificial intelligence

Medicine and Health

The unreliability of crackles: insights from a breath sound study using physicians and artificial intelligence

C. Huang, C. Chen, et al.

This prospective study reveals the reliability challenges of identifying crackles and wheezes in breath sounds, conducted by Chun-Hsiang Huang, Chi-Hsin Chen, Jing-Tong Tzeng, An-Yan Chang, Cheng-Yi Fan, Chih-Wei Sung, Chi-Chun Lee, and Edward Pei-Chuan Huang. While both physicians and AI performed well for wheezing, crackles proved less reliable, raising important questions for medical decision-making. Discover the intricacies of this fascinating research!

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