Publications by authors named "Azadeh Keivani"
Article Synopsis
- A novel deep learning (DL) system was developed to enhance the interpretation of transthoracic echocardiography (TTE) for assessing the severity of mitral regurgitation (MR) by integrating multiple video assessments.
- The system was tested with a large dataset (over 61,000 TTEs) and showed high accuracy in classifying MR severity, achieving exact accuracy rates of 82% for internal and 79% for external test sets.
- Most misclassifications occurred between none/trace and mild MR categories, and the use of multiple TTE views improved classification accuracy.
Mutation spectrum of autosomal recessive non-syndromic hearing loss in central Iran.
Int J Pediatr Otorhinolaryngol
November 2015
Objective: To identify the spectrum of mutations in connexin 26 gene and frequency of two deletions in connexin 30 gene in central Iran.
Methods: After extraction of DNA from 300 blood samples, connexin 26 gene coding region was amplified using specific primers. PCR products were used for bidirectional sequencing.
Objective: To investigate mutations in GJB2 in a consanguineous Iranian family with multiple members affected by non-syndromic hearing loss.
Methods: DNA was extracted from blood samples and the coding region of the conexin 26 gene was amplified using PCR. Bidirectional sequencing was carried out on PCR products.