[CLSTR]
< Back to situations

Monitor this situation.

[SITUATION] · [QUIET] · [HEALTH]

2 clusters · 2 sources · 20 days · First seen · Last updated

Development of diabetes risk assessment tools

Overview

Researchers have developed new AI and predictive tools to assist in the management and assessment of diabetes risk.

Initially, researchers from the Technical University of Denmark and physician Umberto Maggiore introduced MEDWACS, an online AI-driven tool. Designed for home use, it estimates the risk of prediabetes and undiagnosed type 2 diabetes using seven personal data points, such as BMI, waist circumference, and thigh length. The tool was validated using data from the United States and South Korea.

Subsequently, researchers at the University of Maryland School of Medicine developed the Diabetes Complications Risk Calculator (DCRC). While the first tool focuses on initial risk assessment, the DCRC is designed for clinical settings to predict short-term risks for nine different acute and chronic complications, including cardiovascular disease, kidney disease, and stroke, using data from routine medical care.

Entities

Technical University of Denmark · University of Maryland School of Medicine · MEDWACS · Daniel Yoo · Rozalina G. McCoy

Timeline

  1. 15 days ago

    [HEALTH] 2 sources
    University of Maryland researchers develop diabetes complication risk calculator

    University of Maryland researchers developed the Diabetes Complications Risk Calculator (DCRC) to predict short-term risks for nine different diabetes-related complications using routine clinical data.

  2. about 1 month ago

    [HEALTH] 7 sources
    Technical University of Denmark researchers develop AI tool for home diabetes risk assessment

    Researchers developed MEDWACS, an AI tool that uses seven home-measurable metrics, including thigh length, to identify risks for prediabetes and type 2 diabetes.

Sources

knowridge.com · newswise.com