Light Ai

Light Ai is a clinical decision-support platform designed to improve the diagnosis and management of streptococcal pharyngitis (Strep A). It uses artificial intelligence to help clinicians distinguish bacterial from viral sore throat infections more accurately, with the goal of reducing unnecessary antibiotic prescriptions and combating antimicrobial resistance. The tool is intended to integrate into routine clinical workflows in primary care, urgent care, and telemedicine settings, supporting evidence-based decisions at the point of care.

Light Ai combines patient-reported symptoms, clinical findings, and guideline-based criteria to generate a structured risk assessment for Strep A. Its algorithms are trained on clinical data to refine diagnostic accuracy beyond traditional scoring systems alone, while remaining transparent and aligned with established standards of care. The platform can provide recommendations on whether further testing (such as rapid antigen detection or culture) is indicated and whether antibiotics are likely to be beneficial. It is designed to be easy to use, with a clear interface that standardizes documentation and reduces variability between clinicians.