Iranian Knowledge-Based Firm Develops Software for Accurate Analysis of Diabetes
“Our company has succeeded in transferring the blood sugar data of people with diabetes to central servers by developing an application connected to a blood sugar test device. Based on this data, analyses of the patient's blood sugar status are provided so that the doctor can make more accurate decisions about managing diabetes and prescribing medication,” said Sam Khosropour, a manager of the knowledge-based company.
He explained that the analyses provided by this system are based on data received from the patient during specific time intervals of at least 14 days and up to a maximum of 90 days, adding, “These intervals correspond to the visit cycles of endocrinologists and diabetologists which are generally conducted once every three months.”
“Our application consists of two main parts; a patient application that allows them to view their blood sugar data and receive relevant analyses. This feature is specially important for chronic diabetic patients who have entered the self-management stage, as they can estimate the amount of carbohydrate consumed and the required insulin dose based on their diet and independently administer insulin injections,” Khosropour said.
“A physician application that provides patients' data online to their doctor; through automated analyses, this application can provide summarized reports that help reduce visit times and increase the accuracy of treatment decisions,” he added.
In a relevant development in 2024, IT specialists of a technological unit active in the field of making smart medical equipment had also used artificial intelligence (AI) to develop a smart food scanner software for diabetic patients.
“After installing the food scanner application, people with diabetes can receive all their food information by placing the food image in front of the cellphone’s camera,” Tohid Amadeh, the manager of the technological unit, told ANA.
“Information like the amount of sugar, fat and proteins are among the things transferred to the patient; the information base of this software is so strong that it can also detect the level of ripeness of fruits,” he added.
Noting that after scanning the information and receiving it by the patient, the consumption and non-consumption of the food is suggested to the patient, Amadeh said, “All the processes of collecting information of the diabetic patients, diets and information about calories, fat and sugar in food have been collected and processed by artificial intelligence and the past data.”
4155/v
