Deep learning automates complete quality control of spirometric manoeuvre
Conclusion: Our model combines the visual experience of skilled technicians and ATS/ERS guidelines in automating spirometry acceptability based on entire manoeuvre. This can help in standardizing spirometry quality in different settings like clinical studies, laboratory testing and primary care practice.
Source: European Respiratory Journal - Category: Respiratory Medicine Authors: Das, N., Verstraete, K., Topalovic, M., Aerts, J.-M., Janssens, W. Tags: Respiratory function technologists/scient. Source Type: research
More News: Laboratory Medicine | Learning | Primary Care | Primary Care Practices | Respiratory Medicine | Spirometry | Study | Universities & Medical Training