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

Nayebirad, Sepehr; Okhovat, Amirali; Hedayat, Behnam; Masoudkabir, Farzad; Shafiee, Akbar; Kalhor, Ahmad

Nayebirad, Sepehr; Okhovat, Amirali; Hedayat, Behnam; Masoudkabir, Farzad; Shafiee, Akbar; Kalhor, Ahmad.

Afiliación

Nayebirad S; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran.
Okhovat A; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran.
Hedayat B; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran.
Masoudkabir F; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran.
Shafiee A; Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, 1411713138, Iran. Electronic address: ashafiee@tums.ac.ir.
Kalhor A; Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.

Lancet Digit Health ; 6(1): e9, 2024 01.

Article en En | MEDLINE | ID: mdl-38123256

Asunto(s)

Inteligencia Artificial; Enfermedades de las Válvulas Cardíacas; Humanos; Enfermedades de las Válvulas Cardíacas/diagnóstico por imagen; Radiografía

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades de las Válvulas Cardíacas Límite: Humans Idioma: En Revista: Lancet Digit Health Año: 2024 Tipo del documento: Article País de afiliación: Irán

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