Artificial intelligence in chronic obstructive pulmonary disease: recent advances in imaging and physiological monitoring
While artificial intelligence holds immense potential to shift COPD care toward a more proactive and personalized model, most applications remain in early developmental stages, with critical challenges including the need for rigorous clinical validation, addressing algorithmic bias, and establishing standardized evaluation metrics.
Authors
- Benjamin Freije (ORCID: https://orcid.org/0000-0002-4491-8230)
- Robert M. Burkes (ORCID: https://orcid.org/0000-0002-9718-9115)
- M. Restko
- Christine Zhou (ORCID: https://orcid.org/0000-0002-2143-1972)
Institutions
- Veterans Health Administration (US)
- Sabin Vaccine Institute (US)
- SleepMed (US)
- Pulmonary and Critical Care Associates (US)
- University of Cincinnati (US)
Publication Details
- Journal
- Current Opinion in Pulmonary Medicine
- Published
- 2025-11-07
- DOI
- https://doi.org/10.1097/mcp.0000000000001228
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00