Observational studyNutrients2026
Perception-Adoption Gap of an AI Dietary Management App in Real-World Dining Settings: A Field Study.
Shupeng Mai, Jinji Xu, Zihan Hu, Chengdi Shan, Yuqi Zhao, Hongwei Liu, Qi Song, Zhenni Zhu
Abstract readObservational Study
In one paragraphObservational study in Nutrients, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Shupeng MaiDivision of Health Risk Factors Monitoring and Control, National Health Commission Specialty Laboratory of Food Safety Risk Assessment and Standard Development, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.ORCID 0009-0005-7545-3236 Jinji XuSchool of Public Health, Fudan University, Shanghai 200032, China.
Chengdi ShanDepartment of Food and Nutrition Hygiene, Huangpu District Center for Disease Control and Prevention, Shanghai 200001, China.
Yuqi ZhaoSchool of Public Health, Fudan University, Shanghai 200032, China.
Hongwei LiuSchool of Public Health, Fudan University, Shanghai 200032, China.
Qi SongDivision of Health Risk Factors Monitoring and Control, National Health Commission Specialty Laboratory of Food Safety Risk Assessment and Standard Development, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.ORCID 0009-0003-0939-5483 Zhenni ZhuDivision of Health Risk Factors Monitoring and Control, National Health Commission Specialty Laboratory of Food Safety Risk Assessment and Standard Development, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China.ORCID 0000-0001-5538-4257 Funding
Shanghai Key Laboratory of Intelligent Big Data Applications for Public Health 25dz2260600Shanghai Science and Technology Commission Project "Functional Food Safety and Nutritional Efficacy Evaluation" 25HC2820706the Project of Health Shanghai Action Plan JKSHZX-2025-04
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceDietMobile ApplicationsAdultChinaCross-Sectional StudiesFeeding BehaviorFemaleHumansMaleMiddle AgedPerceptionProspective StudiesYoung Adultartificial intelligencedietary managementreal-world studyusabilityuser acceptance
Identifiers
PMID42654220
PMCPMC13516353
What OpenQuestion holds
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