Artificial Intelligence (AI) is revolutionizing healthcare, significantly accelerating the diagnosis, treatment, and management of Primary Immunodeficiency (PI).
What is Artificial Intelligence?
Artificial Intelligence (AI) leverages computers and machines to mimic human intelligence, functioning autonomously to perform complex tasks.
What is Primary Immunodeficiency (PI)?
PI, also known as Inborn Errors of Immunity (IEI), encompasses nearly 500 chronic, serious, and sometimes life-threatening immune system disorders.
What is Machine Learning?
Machine learning, a core AI technology, processes data and algorithms to emulate human learning, continuously enhancing its capabilities through experience.
The SPIRIT® Analyzer, developed by the Jeffrey Modell Foundation, is a cost-effective machine learning tool for early detection of Primary Immunodeficiency (PI) and Inborn Errors of Immunity (IEI). Utilized by healthcare organizations, hospitals, third-party payers, and physician groups, SPIRIT® enables providers to identify and notify undiagnosed or at-risk patients. This facilitates further assessment and testing, improving diagnosis, treatment, quality of life, and reducing healthcare costs efficiently.
