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Comparative accuracy of artificial intelligence versus manual interpretation in detecting pulmonary hypertension across chest imaging modalities: a diagnostic test accuracy meta-analysis
0
Zitationen
18
Autoren
2026
Jahr
Abstract
AI-integrated imaging significantly enhances diagnostic accuracy for pulmonary hypertension, with higher sensitivity (0.83) and specificity (0.91) compared to manual interpretation across chest imaging modalities. However, further high-quality trials with externally validated cohorts may be needed to confirm these findings and reduce variability among AI models across diverse clinical settings.
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Autoren
Institutionen
- Jersey Shore University Medical Center(US)
- Allama Iqbal Medical College(PK)
- Shaheed Benazir Bhutto University(PK)
- Memorial Healthcare System(US)
- Shaikh Zayed Medical College and Hospital(PK)
- Dow University of Health Sciences(PK)
- Jinnah Sindh Medical University(PK)
- Shaikh Zayed Postgraduate Medical Institute(PK)
- Karachi Medical and Dental College(PK)
- Lahore General Hospital(PK)
- Society of Interventional Radiology(US)
- Rawalpindi Medical University(PK)
- Duke University(US)