Enabling Augmented Intelligence Using Gen AI in Mechanical Ventilators

Mechanical ventilators, despite their life saving potential, require constant monitoring and manual adjustment that are time consuming and human resource draining. The paper proposes an augmented intelligence approach leveraging existing Generative Artificial Intelligence (Gen AI) such as ChatGPT, Medllama, etc, to enhance the existing patient monitoring systems in place by providing real-time data-driven recommendations for patient diagnosis and ventilators. It uses an ARM Cortex-M7 based microcontroller and FreeRTOS, a real time operating system, to collect vital ventilator data and sends it to cloud for generating actionable insights for clinicians. These Gen AI -enabled recommendations assist healthcare professionals to provide timely adjustments by deciding next course of action based on suggestions to optimize patient care and reduce their monitoring burden.