Diabetes, which is characterized by elevated blood glucose levels (BGLs), affects more than 250 million people globally, making it one of the major chronic medical conditions prevailing today. Expert short-term management is essential to delay or prevent serious long-term complications occurring, such as blindness, amputations, heart disease, and kidney failure. Life-threatening short-term complications can also occur due to both very low BGLs (hypoglycaemia) and very high BGLs (ketoacidosis or hyperosmolar coma).

Technology now plays an increasing role in diabetes management. Electronic BGL meters, insulin delivery systems, advanced retinal imaging technologies, and sophisticated orthotic design methods have revolutionized day-to-day management and improved the prognosis for many people with diabetes. Artificial intelligence (AI) software advisory and educational packages hold the potential to do even more. This special issue will address current and proposed technologies for diabetes healthcare and will act as an international forum for researchers to summarize their most recent developments and ideas in the field, particularly over the last five years. Main topics include, but are not limited to:

• Blood glucose meter, including invasive and noninvasive devices, and meters with artificial intelligence for improved dosing recommendations and also AI modeling and educational and advisory software
• Insulin delivery systems including pump technology that assist users toward improved physiologic short-term and long-term BGL management
• Methods which combine a continuous BGL sensor, insulin pump, and control algorithm for creation of an artificial pancreas
• Retinal screening procedures involving advanced imaging technologies and algorithms
• Advanced therapeutic devices or approaches such as photocoagulation or laser technology for treating retinopathy
• Sophisticated CAD/CAM orthotic and shoe design techniques to prevent diabetic foot damage through ulceration and improve mobility
• Sophisticated electronic lancing techniques for obtaining blood samples
• Communication protocols and systems for implementing a robust and effective telediabetes infrastructure

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/jece/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable: