MENU
01
BLOG + NEWS
02
RESEARCH
03
PROJECTS
04
BIICERS
05
ABOUT
© Behavioral Informatics &
Interaction Computation Lab.
All rights reserved.
RESEARCH
HOME
RESEARCH
Health Analytics
Clinical Attributes
The unreliability of crackles: insights from a breath sound study using physicians and artificial intelligence
npj primary care respiratory medicine
Abstract
In comparison to other physical assessment methods, the inconsistency in respiratory evaluations continues to pose a major issue and challenge.
Authors
DOI
10.1038/s41533-024-00392-9
Publisher
npj Primary Care Respiratory Medicine
Related Research
27
Feb
2026
Health Analytics・Diagnosis
Diffusion-Synthesized Chest X-rays Improve Fairness and Diagnostic Performance
Dawood Rehmen, Huan-Yu Chen, Chi-Chun Lee, Natalia Vilor-Tejedor, Shreya G Upadhyay, Po-Chih Kuo
30
Jan
2026
Health Analytics・Clinical Attributes
Early hypoxia prediction in diseased patients via wheezing sounds in respiration: a prospective cohort study
Chun-Hsiang Huang, Cheng-Yi Fan, Chi-Hsin Chen, Chih-Wei Sung, Ching-Yu Chen, Shao-Yung Lin, Jing-Tong Tzeng, Chi-Chun Lee, Andrew Sheed, Eric H. Chou, Edward Pei-Chuan Huang
26
Jan
2026
Health Analytics・Diagnosis
Bayesian modelling for enhanced uncertainty, consistency, and calibration in multi-disease chest x-ray diagnosis
Dawood Rehmen, Huan-Yu Chen, Chi-Chun Lee
Bayesian deep learning | uncertainty | consistency | calibration | medical image analysis