Pulmonary diagnostic tests are a series of tests which evaluate how well the lungs are performing. These tests may be performed to help diagnose disease, monitor disease progression or therapeutic ...

Pulmonary function testing serves 2 important clinical goals: (1) categorizing the physiologic impairment from lung disease (ie, obstructive, restrictive, etc) and (2) quantifying the degree of ...

Please provide your email address to receive an email when new articles are posted on . Pulmonary function testing results can indicate obstructive patterns. Providers must properly coach patients ...

Examining a patient for common or complex pulmonary issues in a primary care setting takes time and expertise — physicians need to ask about symptoms and medical history and determine which tests to ...

This combined model achieved a high level of accuracy, suggesting that imaging data alongside basic clinical information could be effective for screening.

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 ...

In a review, investigators concluded that physicians should use pulmonary function tests in addition to standard spirometry evaluations to better ensure that patients are appropriately being diagnosed ...

Researchers review pulmonary function testing measures that span 4 categories that can assess the respiratory muscle dysfunction that happens in diseases like spinal muscular atrophy (SMA). Muscle ...

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 ...

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, ...

Please provide your email address to receive an email when new articles are posted on . A smartphone-based tool that employs acoustic sensing and machine learning techniques is set to undergo testing.