Our AI-powered symptom checker is trained on 50 million of real patient records and leverages a probabilistic reasoning engine combined with an extensive medical knowledge base to deliver accurate and dynamic assessments. Users are guided through an intelligent question flow—generated by a neural network algorithm—that tailors follow-up questions based on their reported symptoms and medical history. The system applies Bayesian inference techniques to analyse this input against clinical patterns, estimating the likelihood of various diagnoses. Based on this analysis, it recommends the most appropriate level of care, from self-management to urgent medical attention. Patients receive instant triage guidance and are seamlessly directed to the most suitable care pathway—whether that be self-care, pharmacy consultation, same-day virtual GP appointments, or direct referral to secondary care. By reducing unnecessary GP appointments and streamlining initial triage, this system directly improves appointment availability and speeds up access for those who need it most.