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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Answers and explanations appear as you take the quiz.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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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