Application of Ultra-Low-Power and Resource-Constrained Devices to Improve Health Care Delivery in Resource-Constrained Communities

Explore the application of ultra-low-power and resource-constrained devices in improving healthcare delivery for underserved communities in this 39-minute tinyML Talk by MB Jallow, Product Manager at MarsCrowd. Delve into the potential of tiny machine learning (ML) algorithms in healthcare Internet of Things (H-IoT) and their impact on efficiency, service quality, and cost reduction. Examine the integration of tinyML in intelligent medical devices, telemedicine, data analytics, and edge computing, with a focus on its relevance to resource-constrained settings. Discover how tinyML can revolutionize various healthcare domains, including diagnosis, prognosis, spread control, monitoring, and logistics systems, while addressing challenges such as non-communicable diseases, primary healthcare accessibility, and language barriers.