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Image Search Results
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Number of features within free-to-use nutrition-related apps ( n = 32).
Article Snippet: All
Techniques:
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Number of features within paid and/or premium version nutrition-related apps ( n = 35).
Article Snippet: All
Techniques:
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Macronutrients output (as % energy) from the three-day food records and nutrition-related apps ( n = 15) for three diet types—Western, Asian, and Recommended.
Article Snippet: All
Techniques: Western Blot, Fat
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Micronutrients (dietary fibre, calcium, and iron density) from the three-day food records and nutrition-related apps ( n = 12) for all three diet types—Western, Asian, and Recommended.
Article Snippet: All
Techniques: Western Blot
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Number of features within free-to-use nutrition-related apps ( n = 32).
Article Snippet: Only six apps, namely,
Techniques:
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Number of features within paid and/or premium version nutrition-related apps ( n = 35).
Article Snippet: Only six apps, namely,
Techniques:
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Macronutrients output (as % energy) from the three-day food records and nutrition-related apps ( n = 15) for three diet types—Western, Asian, and Recommended.
Article Snippet: Only six apps, namely,
Techniques: Western Blot, Fat
Journal: Nutrients
Article Title: Evaluating the Quality and Comparative Validity of Manual Food Logging and Artificial Intelligence-Enabled Food Image Recognition in Apps for Nutrition Care
doi: 10.3390/nu16152573
Figure Lengend Snippet: Micronutrients (dietary fibre, calcium, and iron density) from the three-day food records and nutrition-related apps ( n = 12) for all three diet types—Western, Asian, and Recommended.
Article Snippet: Only six apps, namely,
Techniques: Western Blot