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
- Cardiology
Minimally invasive – the quiet triumph of modern heart surgery
- Schizophrenia in the early-onset stage
Which antipsychotic should be used for treatment-naive patients?
- Diarrhea in children
The problem of parental expectations
- From symptom to diagnosis
Multilocular cystic renal cell carcinoma (MCRCC)
- Shaping the Future with LLM & Co.
AI in Everyday Clinical Practice: Friend or Foe?
- Ulcerative colitis: current evidence on anti-inflammatory therapies
Remission induction and maintenance with biologics and JAK-i
- Bronchiectasis
New strategies against neutrophilic inflammation
- IBD in childhood