The diagnosis of interstitial lung disease (ILD) can be difficult, especially in the early stages when pulmonary function tests (PFTs) show only minor changes. To improve the effectiveness of early diagnosis, researchers wanted to evaluate the potential of artificial intelligence (AI)-based software to support pulmonary specialists in analyzing PFT results.
Autoren
- Jens Dehn
Publikation
- InFo PNEUMOLOGIE & ALLERGOLOGIE
Related Topics
You May Also Like
- TREATswitzerland Register
Evaluation of system therapies for AD
- Cardiogenic shock - 2025 update
Between standardization, team processes and targeted cycle support
- Collagenoses
Scleroderma – Current recommendations for diagnosis and therapy 2025
- Multiple sclerosis
Avoiding the nocebo trap with natalizumab biosimilars
- COPD and comorbidities
Exacerbation frequency is associated with cardiopulmonary disease burden
- Multiple myeloma
DREAMM-8: Key study in the development of BCMA therapy up to DREAMM-14
- Catheter ablation for atrial fibrillation 2025
Pulsed field versus radio frequency – where do we stand?
- Atopic dermatitis