AI-Assisted Interpretation of Pulmonary Function Tests: Enhancing Diagnostic Precision in Respiratory Medicine
Ajay Singh, Manoj Sahu, Surendra K. Padarya, Talha Saad, Satyendra Mishra, Mayank P. Singh · 2025
Read AI-Assisted Interpretation of Pulmonary Function Tests: Enhancing Diagnostic Precision in Respiratory Medicine by Ajay Singh, Manoj Sahu, Surendra K. Padarya, Talha Saad, Satyendra Mishra, Mayank P. Singh (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12788408.txt.
Description
Ajay Singh and co-authors test AI reading of lung function tests in this 2025 paper. Interpreting these tests by hand varies between doctors. The study ran at one center with 200 adults having spirometry and full testing. Software classified each record as normal, obstructive, restrictive, or mixed.
Three pulmonologists read the same data independently, and their consensus set the standard. The AI matched 38 of 40 normal and 76 of 80 obstructive cases. Restrictive and mixed patterns scored 44 of 50 and 27 of 30. Overall accuracy reached 92 percent, with sensitivity near that level. Agreement statistics were strong overall. Consistent machine reads could support clinics short on specialists.
Catalog record
| CREATOR | Ajay Singh, Manoj Sahu, Surendra K. Padarya, Talha Saad, Satyendra Mishra, Mayank P. Singh |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 10 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |