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
- Secondary prevention after ACS: individually optimized lipid management
Trend towards early combination therapy and new strategies for lowering Lp(a)
- Pediatric Brain Tumors
Psychiatry versus Neuro-Oncology: Diagnostic Pitfalls
- What the latest studies on the entire EF spectrum mean for clinical practice
Heart Failure – The 2026 Evidence Update
- Acute ischemic stroke
Alteplase and Tenecteplase Are on the Same Level
- CKD in People with Type 2 Diabetes: Evidence-Based, Optimized Treatment
SGLT-2 inhibitors and GLP-1 receptor agonists: significant improvement in renal outcomes
- Wearables: screening via smartwatch?
New study on atrial fibrillation in high-risk patients
- Planning a Family, Pregnancy, and Breastfeeding
Update on Anti-Rheumatic Medications
- Peristomal skin health