Trial reportNutrients2026
Tailored Nutritional Intervention Based on AI-Assessed Dietary Assessment in Nutritionally Compromised Older Adults: Impact on Anthropometric, Cognitive, and EEG Parameters.
Yejin Seo, Soyoung Jung, Hae Jin Kang, Hee-Sook Lim, Ji Youn Hong, Jean Kyung Paik, Dayeon Shin, Yujung Lee, Seung Wan Kang, Yoo Kyoung Park
Abstract readClinical TrialMulticenter Study
In one paragraphTrial report 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
10 authors.
Yejin SeoDepartment of Medical Nutrition, Graduate School of East-West Medical Nutrition, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0009-0002-3798-9863 Soyoung JungAgeTech-Service Convergence Major, Department of Medical Nutrition, Graduate School of East-West Medical Nutrition, Kyung Hee University, Yongin 17104, Republic of Korea.
Hae Jin KangAgeTech-Service Convergence Major, Department of Medical Nutrition, Graduate School of East-West Medical Nutrition, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0002-0345-9365 Hee-Sook LimAgeTech-Service Convergence Major, Department of Gerontology, Graduate School of East-West Medical Nutrition, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0003-0745-8906 Ji Youn HongDepartment of Food Regulatory Science, Korea University School, Sejong 30019, Republic of Korea.ORCID 0000-0001-5379-7875 Jean Kyung PaikDepartment of Food and Nutrition, Eulji University, Seongnam 13135, Republic of Korea.ORCID 0000-0003-0393-0353 Dayeon ShinDepartment of Nutritional Science and Food Management, Ewha Womans University, Seoul 03760, Republic of Korea.ORCID 0000-0003-0828-184X Yujung LeeNuvilab, Inc., Seoul 06173, Republic of Korea.
Yoo Kyoung ParkDepartment of Medical Nutrition, Graduate School of East-West Medical Nutrition, Kyung Hee University, Yongin 17104, Republic of Korea.ORCID 0000-0002-8536-0835 Funding
Ministry of Education 5120200313836Ministry of Food and Drug Safety 33233046100Ministry of Science and ICT CRC22015-600National Research Council of Science and Technology CRC22015-600
6 · The paper itselfAbstract
PubMed holds no abstract for this paper.
Indexed as
Artificial IntelligenceCognitionElectroencephalographyMalnutritionNutritional StatusNutrition AssessmentAgedAged, 80 and overAnthropometryBiomarkersDietEnergy IntakeFemaleGeriatric AssessmentHumansMaleBiomarkersartificial intelligenceassisted living facilitiescognitive dysfunction (mild cognitive impairment)dementiamalnutritionnutrition assessmentresidential facilities
Identifiers
PMID42588038
PMCPMC13467964
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