We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Chinese AI System Designed to Predict Diabetes Years in Advance

By HospiMedica International staff writers
Posted on 24 Sep 2018
Print article
4 Paradigm (Beijing, China), a technology company, is working with Ruijin Hospital (Shanghai, China) to develop a new artificial intelligence (AI) system that will help them to identify patients at risk of developing diabetes up to 15 years in advance. The model named Ruining Knows Sugar, or Ruining Zhitang in Chinese, has achieved an accuracy rate of 88% in tests.

Designed to identify those most at risk of developing type 2 diabetes within the next three years, the system also provided risk forecasts for the next nine and 15 years as a reference. For the tests, the new system used medical information from 170,000 individuals from across the country, some of who had diabetes and others did not. The data collected by the hospital’s diabetes research team between 2010 and 2013 included gender, height, weight, blood sugar levels, smoking and drinking history, and education levels. The AI algorithm then used that information to make its predictions and “learned” from the results.

The use of AI to help predict and monitor diabetes is growing. For instance, in June 2018, medical device company Medtronic along with IBM Waston Health released its Sugar.IQ app, which evaluates how a user’s blood sugar levels respond to variables such as food intake, insulin dosing and other daily routines.

Related Links:
4 Paradigm
Ruijin Hospital
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Bronchoscope
EB-500

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.