Babylon SPAC Presentation Deck

Babylon's Digital-First Interactions are Powered by Al Brain Health assessment 1) 2) Consultations Types of Consultations Offered Al Virtual Physical Reasoning & Decision Making Learning Prediction Simulation Perception Knowledge Monitoring Comprehensive Al Comprehensive end-to-end platform: Babylon's Al platform and comprehensive model of medicine will enable Babylon's users to manage their health care needs directly through products that support patients across their healthcare journey Knowledge: Under selective test conditions, Babylon's Al demonstrates results comparable to doctors(1) Avg. Recall 93.8% 84.3% 64.1% 80.0%(2) Doctor High Doctor Median Doctor Low Babylon Al Avg. Precision 56.5% 42.9% 33.9% 44.4% Reasoning & Decision Making: We have developed (and are extending) a comprehensive, causal model of primary with state of the art inference engines Learning: Our Al has been developed to improve through continual clinician-mediated testing and feedback based on real-world member interactions Perception: We have investments in state-of-the-art clinical NLP technologies to facilitate processing of clinical information from health records and which will be a core component of our conversational platform architecture Prediction: We have developed causal models to predict future health risks Notes: Digital tools do not offer a diagnosis and references to diagnosis here are for research purposes only. Based on seven doctors participating in the study. Detailed data on number of symptom sets analyzed by doctors and recall rates available in Baker & Perov et al. A comparative study of artificial Intelligence and human doctors for the purpose of triage and diagnosis. Based on 100 independently-devised symptom sets. 19

View entire presentation