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Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

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Artificial intelligence for diabetes care: current and future prospects.

Bin Sheng¹, Krithi Pushpanathan², Zhouyu Guan³

¹Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders, Department of Computer Science and Engineering, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai, China; Key Laboratory of Artificial Intelligence, Ministry of Education, School of Electronic, Information, and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.

The Lancet. Diabetes & Endocrinology

|July 25, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) offers personalized diabetes care but faces challenges like bias and equitable implementation. Ethical AI development can empower patients and providers in managing diabetes effectively.

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Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Diabetes Management

Background:

Growing exploration of artificial intelligence (AI) in diabetes care for personalized treatment.
AI advancements present challenges including potential biases, ethical concerns, and equitable deployment.

Purpose of the Study:

To review current and future prospects of AI in the diabetes care continuum.
To summarize AI applications from screening and diagnosis to treatment optimization and complication management.

Main Methods:

Literature review of AI applications in diabetes care.
Synthesis of current research and future trends in AI for diabetes.

Main Results:

AI is being explored for enhanced screening, diagnosis, and personalized treatment plans.
AI can optimize treatment and predict/manage diabetes complications.
Addressing ethical considerations and potential biases is crucial for equitable AI deployment.

Conclusions:

Inclusive and ethical AI development is key to empowering healthcare providers and individuals with diabetes.
AI holds significant potential to transform diabetes care across its continuum.
Further research and careful implementation are needed to realize AI's full benefits in diabetes management.