AI Tool Accurately Estimates Infection Risk Scores for HIV, Syphilis, Gonorrhea and Chlamydia
Scientists have developed an artificial intelligence (AI) tool called MySTIRisk, which has the ability to estimate patient’s risk of various sexually transmitted infections (STIs), including HIV, syphilis, gonorrhea, and chlamydia. With the help of MySTIRisk, researchers were able to create infection risk scores to determine which patients were at a higher risk for these infections.
The researchers conducted a study using data from over 1 million STI consultations at a health center in Melbourne, Australia. By using machine learning models, the team was able to estimate infection risk scores based on a variety of factors including gender, age, sexual history, and other behavioral and clinical data.
Results of the study showed that the MySTIRisk tool was able to accurately identify patients at a higher risk for HIV and the other STIs. Patients considered “high risk” had significantly higher positivity rates for all four infections, indicating that the tool can effectively identify individuals most in need of prevention and testing services.
This innovative tool shows promise in leveraging complex real-world data to estimate individualized risk scores for HIV and other common STIs, ultimately helping to guide resource prioritization and streamline sexual health services. However, it is important to note that these machine learning approaches should be integrated under clinician guidance and used to support, rather than replace, sound provider judgment.
Do you think that AI tools like MySTIRisk should be integrated into sexual health services to prioritize resources? Share your thoughts in the comments below.
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