Guide-linked quiz · Medium Level
AI in Diabetes Management Quiz
Test your knowledge of CGM glucose forecasting, how hybrid closed-loop insulin systems work, and autonomous AI screening for diabetic retinopathy.
Question 1 of 8
What does a continuous glucose monitor (CGM) measure?
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Answers and explanations appear as you take the quiz.
- What does a continuous glucose monitor (CGM) measure?
- Blood pressure every hour
- Glucose in the fluid under the skin every few minutes
- Insulin levels in the blood
- Retinal blood vessel damage
- Which system did the FDA approve in 2016 as the first hybrid closed-loop insulin system?
- Omnipod 5
- Beta Bionics iLet
- Tandem Control-IQ
- Medtronic MiniMed 670G
- What does 'hybrid' mean in a hybrid closed-loop system?
- Users generally still announce meals or give meal boluses
- The system uses both insulin and glucose tablets
- It works with both type 1 and type 2 diabetes only
- It combines a CGM with a smartwatch
- What kind of algorithms do most automated insulin delivery systems use?
- Large language models
- Image recognition networks
- Control algorithms such as model predictive control or PID control
- Random number generators
- Why was the 2018 FDA authorization of IDx-DR significant?
- It was the first insulin pump
- It was the first autonomous AI diagnostic system, reading retinal images without a clinician interpreting them
- It was the first CGM
- It cured diabetic retinopathy
- Why are glucose forecasts judged with error grids such as Clarke or Parkes?
- Error grids are faster to compute
- They measure battery life
- They are required only for retinal screening
- They weight errors by clinical risk, since some mistakes are more dangerous than others
- Why must insulin controllers act on predicted glucose rather than current readings?
- Current readings are never accurate
- Pumps cannot read current values
- CGM readings lag blood glucose and insulin takes time to reach peak effect
- Regulators forbid using current readings
- Why are image-quality checks essential in autonomous retinopathy screening?
- The system must reject ungradable photos rather than guess
- They make images look better for patients
- They remove the need for a camera
- They speed up insulin delivery
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