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AI and Wearable Devices for Type 2 Diabetes — a person holding a smart phone next to an electronic device

AI and Wearable Devices for Type 2 DiabetesCEFR A1

6 Dec 2025

Adapted from Unknown author, Futurity CC BY 4.0

Photo by Towfiqu barbhuiya, Unsplash

AI-assisted adaptation of the original article, simplified for language learners.

  • Researchers at the University at Buffalo study AI and wearables.
  • They published a meta-review in NPJ Digital Medicine journal.
  • Wearables such as continuous glucose monitors give frequent readings.
  • AI can predict glucose changes one to two hours ahead.
  • The team screened about 5,000 studies and chose 60.
  • AI help can make glucose control steadier and safer.
  • AI can give personalised advice for daily routines and sleep.
  • Problems include small samples and narrow participant groups.
  • Many AI models act like black boxes and confuse users.
  • Researchers want larger, clearer studies for care.

Difficult words

  • researchera person who looks for new information
    Researchers
  • wearablesmall device people wear on their body
    Wearables
  • glucose monitora device that measures sugar level in blood
    continuous glucose monitors
  • predictto say what will happen before it happens
  • meta-reviewa study that looks at many other studies
  • personalisedmade for one person's needs and daily life
  • black boxa system that is not easy to understand
    black boxes
  • screento look at many things to choose some
    screened
  • samplesmall groups of people or data in a study
    samples

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • Do you use a wearable device?
  • Would you like AI advice for your daily routine?
  • Do you think studies should have larger groups of people?

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