Challenges of using artificial intelligence to detect valvular heart disease from chest radiography

Lancet Digit Health. 2024 Jan;6(1):e9. doi: 10.1016/S2589-7500(23)00223-6.

Authors

Sepehr Nayebirad¹, Amirali Okhovat¹, Behnam Hedayat¹, Farzad Masoudkabir¹, Akbar Shafiee², Ahmad Kalhor³; AI research Group of CVDRI

Affiliations

¹ Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran.
² Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran. Electronic address: ashafiee@tums.ac.ir.
³ Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.

PMID: 38123256
DOI: 10.1016/S2589-7500(23)00223-6

No abstract available

Publication types

Letter
Research Support, Non-U.S. Gov't
Comment

MeSH terms

Artificial Intelligence*
Heart Valve Diseases* / diagnostic imaging
Humans
Radiography