Shriners Children's Hospital Chicago
Revolutionizing Cerebral Palsy Diagnosis with AI-Driven Algorithms
problem
Shriners Children's Hospital, headquartered in Chicago, is renowned as the leading pediatric hospital in the United States, specializing in the treatment of children with Cerebral Palsy (CP) for over two decades. They utilize cutting-edge technologies, including Motion Capture data, to aid in diagnostics and treatment. Despite their expertise, there is a significant issue in the diagnosis of CP: common misdiagnoses often delay the appropriate treatment, prolonging the path to improvement by an average of two years. This delay can have profound negative impacts on the affected children, hindering their progress and quality of life.
problem
Shriners Children's Hospital, headquartered in Chicago, is renowned as the leading pediatric hospital in the United States, specializing in the treatment of children with Cerebral Palsy (CP) for over two decades. They utilize cutting-edge technologies, including Motion Capture data, to aid in diagnostics and treatment. Despite their expertise, there is a significant issue in the diagnosis of CP: common misdiagnoses often delay the appropriate treatment, prolonging the path to improvement by an average of two years. This delay can have profound negative impacts on the affected children, hindering their progress and quality of life.
solution
To address this critical issue, a project was initiated to develop and train advanced models incorporating Treatment Recommendation Algorithms and Algorithm Automations. The goal is to accelerate the diagnostic process and improve its accuracy to over 95%, ensuring faster and more precise identification of CP. This improvement will significantly shorten the time to correct treatment, enhancing the patients' path to improvement. The project is designed to span a five-year period, with the Minimum Viable Product (MVP) targeted for completion within this timeframe. Eventually, the technology will be released as Open Source, making it available for global use and benefiting children suffering from Cerebral Palsy worldwide.
solution
To address this critical issue, a project was initiated to develop and train advanced models incorporating Treatment Recommendation Algorithms and Algorithm Automations. The goal is to accelerate the diagnostic process and improve its accuracy to over 95%, ensuring faster and more precise identification of CP. This improvement will significantly shorten the time to correct treatment, enhancing the patients' path to improvement. The project is designed to span a five-year period, with the Minimum Viable Product (MVP) targeted for completion within this timeframe. Eventually, the technology will be released as Open Source, making it available for global use and benefiting children suffering from Cerebral Palsy worldwide.
results
The initial milestone of this ambitious project was achieved in 2024 when we successfully assisted Shriners Children's Hospital in applying for and securing a grant from the US government to support this development. The grant will fund the ongoing research and development efforts. The project aims to reach Proof of Concept (POC) by 2027. This first step marks a significant achievement, laying a strong foundation for the future development of a revolutionary diagnostic tool that will enhance the accuracy and speed of CP diagnosis, ultimately benefiting children not only in the US but across the globe.
results
The initial milestone of this ambitious project was achieved in 2024 when we successfully assisted Shriners Children's Hospital in applying for and securing a grant from the US government to support this development. The grant will fund the ongoing research and development efforts. The project aims to reach Proof of Concept (POC) by 2027. This first step marks a significant achievement, laying a strong foundation for the future development of a revolutionary diagnostic tool that will enhance the accuracy and speed of CP diagnosis, ultimately benefiting children not only in the US but across the globe.
tech stack
tech stack
