AI Model Accurately Predicts HIV Incidence Among Patients With STIs, Study Finds

Infectious Disease Advisor (4/23, Nye) reports, “A machine learning model was found to predict incident HIV infection in patients with sexually transmitted infections (STIs) with a high degree of accuracy, indicating the potential use of such models toward the development of tailored interventions for HIV prevention. These findings were published in Clinical Infectious Diseases.” In the study, “overall, the model was associated with high rates of precision and recall in both men and women (80% and 78% vs 80% and 81%, respectively).”