Guide-linked quiz · Medium Level

AI in Nutrition and Dietetics Quiz

Review AI food recognition, portion estimation, nutrient databases, personalized glucose response, clinical screening, and diet constraints.

Question 1 of 8

What technology lets food-logging apps estimate calories from a photo of a meal?

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  1. What technology lets food-logging apps estimate calories from a photo of a meal?
    • Computer vision with neural networks
    • Blockchain ledgers
    • Radio-frequency identification
    • Manual barcode entry only
  2. A key finding from continuous glucose monitor research is that:
    • Everyone responds identically to the same food
    • Individuals can have very different blood-sugar responses to the same meal
    • Glucose response is the same regardless of meal timing
    • Diet has no measurable effect on glucose
  3. How can an EHR-based machine-learning model support malnutrition screening?
    • To replace all human dietitians
    • To cook patient meals automatically
    • Flag patients whose records suggest elevated malnutrition risk for dietitian review
    • To set hospital room temperatures
  4. Which database is commonly used to convert recognized foods into nutrient values?
    • The Dewey Decimal System
    • The periodic table
    • A stock-market index
    • USDA FoodData Central
  5. What input most directly improves AI predictions of personal glycemic response?
    • Continuous glucose monitor and microbiome data
    • A person's favorite color
    • The phone's screen brightness
    • Local weather forecasts
  6. What limitation has research on LLM-generated nutrition plans highlighted?
    • They cannot produce any text
    • Plans may be inaccurate or inconsistent with clinical nutrition guidelines
    • They only work offline
    • They require a prescription
  7. What visual cue can help an image-based diet system estimate food volume?
    • The phone’s battery level
    • The color of the plate alone
    • A known-size reference object in the image, such as a cup or spoon
    • The restaurant’s opening hours
  8. What dietary factors may a meal-planning tool need to account for in a renal diet?
    • Only the food’s packaging color
    • A fixed calorie limit for every patient
    • The meal’s social-media popularity
    • Nutrient limits such as potassium and phosphorus, along with carbohydrate constraints when relevant

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