Current and future contributions of AI to pulmonary function test interpretation, diagnostic approaches, and predictions of disease progression
Multidisciplinary collaboration among clinicians, engineers, and information technology specialists is essential for safe, ethical, and effective deployment. AI is a powerful adjunct for PFT interpretation but should remain a decision support tool pending rigorous real-world validation.
Authors
- T. Hua-Huy (ORCID: https://orcid.org/0000-0003-3212-0560)
- Hà Pham-Ngoc (ORCID: https://orcid.org/0000-0001-9738-1177)
- Thu-Phuong Phan
- T. H. Le
- N Dong Phuong Nguyen
- Anh Tuan Dinh-Xuan
- Tien-Zung Nguyen
- Oanh Thi Tuong Do
- Lê-Quyên Thi Pham
Institutions
- ActionAid (US)
- Inserm (FR)
- Université Paris Cité (FR)
- University Medical Center (US)
- Hôpital Cochin (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Van Lang University (VN)
- Tampere University Hospital (FI)
- Institut Cochin (FR)
- Bạch Mai Hospital (VN)
Publication Details
- Journal
- Expert Review of Respiratory Medicine
- Published
- 2026-03-16
- DOI
- https://doi.org/10.1080/17476348.2026.2647482
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00