Artificial Intelligence in Current Diabetes Management and Prediction

Area of Science:

• Medical Technology
• Artificial Intelligence in Medicine
• Diabetes Research

Background:

• Artificial intelligence (AI) and machine learning (ML) have seen significant advancements, driven by increased computational power and data availability.
• These technologies are increasingly applied in healthcare, particularly in managing chronic diseases like diabetes.

Purpose of the Study:

• To review AI/ML-based medical devices and prediction models for diabetes.
• To highlight current applications and future potential of AI in diabetes care.

Main Methods:

• Review of existing literature and FDA-approved AI/ML-based medical devices for diabetes.
• Analysis of machine learning model performance in predicting new-onset diabetes.

Main Results:

• Several AI/ML-based tools for retinal screening, diagnosis support, and patient self-management in diabetes have received FDA approval.
• Current ML methods for predicting new-onset diabetes do not outperform traditional statistical risk stratification models.

Conclusions:

• AI/ML-based tools are already impacting diabetes management through approved medical devices.
• Future advancements in AI for diabetes prediction are anticipated with larger datasets and enhanced computational resources, promising improved accuracy.