Imtidad: AI architecture for the diagnosis of skin diseases

The transformation of cities goes beyond smart infrastructures; many important sectors, such as healthcare, require major changes so that they may guarantee preventive, personalized, connected and virtual healthcare services and systems.

Several factors are driving the development of preventive healthcare services, among them, the decline in public health, the increase in chronic diseases, the aging of the population, the increase in healthcare costs, the need to bring intelligence closer to the user for reasons such as privacy, security, performance and costs, as well as COVID-19.

In this regard, Juan Manuel Corchado, as director of the BISITE Research Group and President of the AIR Institute together with Nourah Janbi, Rashid Mehmood, Iyad Katib, Aiiad Albeshri and Tan Yigitcanlar, great researchers specialized in new technologies, worked on the development of a reference architecture called Imtidad, which provides Distributed Artificial Intelligence (AI) as a Service (DAIaaS) over Cloud, Fog and Edge using a service catalog case study containing 22 AI skin diseases diagnostic services.

The services are designed to enable different use cases, such as diagnosing patients at home or sending diagnostic requests to medical professionals traveling via a Fog device or a Cloud. This groundbreaking development provides a reference architecture, and a very fine-grained implementation and management of DAIaaS services and is also expected to have a major impact on the development of intelligent distributed service infrastructures for healthcare and other sectors.

I invite you to read the full article published in Sensors 22, no. 5: 1854.

Juan Manuel Corchado

Full Professor in Computer Science and Artificial Intelligence, Department of Computer Science and Automation, University of Salamanca, Spain.


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