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Hypospadias

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Digital Pattern Recognition for the Identification and Classification of Hypospadias Using Artificial Intelligence vs Experienced Pediatric Urologist.

Urology
OBJECTIVE: To improve hypospadias classification system, we hereby, show the use of machine learning/image recognition to increase objectivity of hypospadias recognition and classification. Hypospadias anatomical variables such as meatal location, qu...

A new method for measuring penile curvature based on digital images.

Journal of pediatric urology
INTRODUCTION AND OBJECTIVE: Accurate and objective assessment of penile curvature is considered a critical evaluation in patients with hypospadias, as it often determines if a 1 or 2-stage procedure should be done. Due to the ease of acquisition and ...

Deep learning based automated quantification of urethral plate characteristics using the plate objective scoring tool (POST).

Journal of pediatric urology
INTRODUCTION: The plate objective scoring tool (POST) was recently introduced as a reproducible and precise approach to quantifying urethral plate (UP) characteristics and guide to selecting particular surgical techniques. However, defining the landm...

The Emerging Role of Artificial Intelligence and Automated Platforms for the Assessment of Penile Curvature: A Scoping Review.

Current urology reports
PURPOSE OF THE REVIEW: The estimation of penile curvature is an essential component in the assessment of both Peyronie's disease and hypospadias-associated congenital penile curvature, as the degree of curvature can significantly impact treatment dec...