IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE TO AUTOMATICALLY QUANTIFY THE QUALITY OF URETHRAL PLATE UTILIZING
LICENSING & PARTNERING OPPURTUNITIES
Hypospadias is a common male external genital malformation, impacting newborns worldwide. It presents significant surgical challenges due to the subjective nature of assessing anatomical characteristics like the urethral plate (UP). To address this, we introduce the Plate Objective Scoring Tool (POST), an AI-driven solution designed to objectively assess UP characteristics. POST has demonstrated exceptional accuracy and reliability, offering a transformative approach to hypospadias assessment. We are now seeking a strategic partner to commercialize this groundbreaking technology
The Problem
Hypospadias assessment traditionally relies on subjective, inconsistent measurements. Surgeons face challenges in choosing the right surgical technique due to varying UP characteristics. Inter-institutional outcome comparisons are hindered by subjective assessments.
The Solution
The Plate Objective Scoring Tool (POST) presents a groundbreaking solution to long-standing challenges in hypospadias assessment and surgical decision-making. With a focus on objectivity, precision, and convenience, POST introduces a new era of accuracy in the medical field.
Objective Glans Localization: POST begins by precisely isolating the glans region within medical images. This step is crucial as it enhances the precision of subsequent analyses. Traditional evaluations often grapple with inaccuracies due to variability in image composition. POST's ability to accurately detect and segment the glans area ensures that the subsequent UP assessment is based on solid foundations.
Advanced POST Landmark Detection: Employing deep learning techniques, POST identifies and locates five key anatomical landmarks that play a critical role in UP assessment. These landmarks include points A, B, B' , C, and C' . The accurate detection of these landmarks is fundamental to calculating the POST score, which guides surgical decisions.
Precise POST Score Calculation: POST leverages the detected landmarks to compute the POST score, a quantitative measure of UP characteristics. This score provides invaluable insights for surgeons, aiding them in selecting the most appropriate surgical technique for each patient. Rather than relying on subjective assessments, surgeons can now make decisions guided by data-driven insights, improving the chances of successful surgical outcomes. By combining these elements, POST streamlines the assessment process, standardizes evaluations, and eliminates the inherent subjectivity of traditional methods. Surgeons and medical practitioners can confidently navigate the complexity of hypospadias cases, ensuring that the selected approach aligns with the patient's unique anatomical features. Additionally, POST opens up new avenues for research and predictive tools, potentially advancing our understanding of hypospadias and optimizing patient care.
The Advantages
MOBILE APPLICATION:
The introduction of a user-friendly mobile application further enhances the accessibility and utility of POST. This application provides clear guidance to users on capturing and uploading medical images. Surgeons can access real- time UP assessments during procedures, facilitating intraoperative decision-making. The application's integration capabilities ensure a seamless fit into existing medical technology ecosystems, promising a holistic approach to patient care.
APPLICATIONS
- Medical Advancement: Lead the market with innovative AI for hypospadias assessment. Enhanced Surgical Precision: Assist surgeons in selecting the right technique based on UP characteristics.
- Standardized Evaluation: Eliminate subjectivity, enabling consistent assessment.
- Research Opportunities: Explore predictive tools for surgical outcomes.
- Patient Care: Minimize complications, improve surgical outcomes, and elevate patient care.
PATENT STATUS
A copyright exists for this technology
COMMERCIALIZATION OPPORTUNITY
Sidra Medicine is offering this technology for licensing. For more information, please contact: TechTransfer@sidra.org