Limitations of current IoT and AI technology for diabetes management

The current IoT and AI technology for diabetes management has several limitations that hinder its effectiveness. Firstly, the accuracy and reliability of the data generated by IoT devices such as continuous glucose monitoring systems are not always consistent, which could lead to incorrect treatment decisions. Secondly, the lack of standardisation in the formats and protocols used to exchange data between devices and software platforms makes it difficult to integrate multiple systems for a comprehensive analysis of patient data. Thirdly, AI algorithms that are used to make treatment predictions and recommendations are trained on limited datasets, which may not be representative of the diverse population of people with diabetes. These limitations highlight the need for further research and development to improve the capabilities of IoT and AI technology for diabetes management.

This mind map was published on 2 June 2023 and has been viewed 110 times.