Credit: Getty Images The road to race-neutral pulmonary function testing has been long and evolving; now, ATS recommends this approach and a Boston hospital offers an implementation model. In July, ...

SAN DIEGO – The elimination of race adjustments in lung-function testing could affect millions of people in the U.S. as they lose or gain eligibility for jobs and benefits due to reclassification of ...

Credit: Getty Images A pulmonologist discusses the history and influence of race-based reference equations in pulmonary function testing interpretation and patient care. Pulmonary function testing ...

The Social Security Administration has requested the National Academies of Sciences, Engineering, and Medicine to review the latest published research and science and produce a report addressing best ...

Good breathing is at the heart of good health. When asthma or shortness of breath appears, a person might be sent for pulmonary function tests. Arlene Dunlap of Piscataway, N.J. knows those tests well ...

SELLERSVILLE, Pennsylvania (WPVI) -- A nagging cough or congestion might not mean much to most of us. But it can be serious for those with lung conditions. Exercise testing can help specialists find ...

From smart inhalers to AI-powered diagnostics, lung health monitoring is entering a new era. Portable devices, contactless sensors, and predictive algorithms are making respiratory care more precise ...

Please provide your email address to receive an email when new articles are posted on . Clinicians need to remember that a patient’s reported race includes social factors in addition to genetics. In ...

The use of newly developed race-neutral reference equations for pulmonary function test (PFT) interpretation led to a significant increase in both the prevalence and severity of respiratory ...

Infants born preterm remain vulnerable to numerous health complications, such as respiratory distress syndrome, chronic lung disease, and pulmonary dysfunction. Moreover, extremely low gestational age ...

For lung resection candidates, adding cardiopulmonary exercise testing parameters to basic clinical data and pulmonary function tests did not yield a significant improvement in machine learning models ...