Improving nutritional status of children using artificial intelligence-based mobile application postsurgery: randomised controlled trial
Maryam Zahid, Ume Sughra, Sehrish Mumtaz, Mawara Hassan · 2023
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Description
Maryam Zahid, Ume Sughra, Sehrish Mumtaz, and Mawara Hassan tested whether a diet app helps children recover nutritionally after surgery, in a 2023 randomized trial. Malnutrition after surgery is common in children in lower-income countries, and phone apps could extend diet guidance beyond discharge. Eighty-eight children at a hospital in Rawalpindi, Pakistan, were split between an AI-based nutrition app and a printed pamphlet with the same instructions.
After eight weeks, children in both groups had gained weight. The app group averaged slightly higher weight, about 17.1 kilograms against 16.5, and ate somewhat more calories and notably more protein, about thirty-nine grams a day against thirty-four. The authors read the trial as proof of concept: the app performed at least as well as paper guidance and often better. They present mobile self-monitoring as a scalable tool for post-surgery nutrition in settings where dietitian follow-up is scarce.
Catalog record
| CREATOR | Maryam Zahid, Ume Sughra, Sehrish Mumtaz, Mawara Hassan |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |