Ayu AI

The integration of telemedicine into low middle income countries has dramatically improved the healthcare access gap for rural patients. Current efforts in telemedicine platforms have successfully task-shifted patient medical history collection to Frontline Health Workers (FHW) and brought millions of patients access to diagnoses and treatments from highly trained remote physicians. Intelehealth is one of these companies that has successfully leveraged FHW in rural villages to address this health inequity through telemedicine. However, limitations with this technology include short doctor-patient consultations, inefficient processes for patient information collection, and inaccurate patient diagnoses. With the advent of Large Language Models (LLM), the potential to close these gaps utilizing current platforms has become possible.

Ayu AI is an LLM AI physician co-pilot that was developed in collaboration with Intelehealth to address the issue of diagnostic/treatment inaccuracy and short doctor-patient consultations. The use of our co-pilot drives increased diagnostic accuracy, prompts accredited treatment guidelines for telemedicine doctors to improve the quality of care for patients in rural India. Our progress over the year has culminated in a working prototype including the associated User Interface for the telemedicine doctors within the Intelehealth ecosystem.

This project is aimed to continue into the next year with the goal of achieving usability data to validate the technological process to date and continue further iteration based on the collected data. The goal is to achieve a deployable AI physician co-pilot with high diagnostic and treatment accuracy by May 2025.