Evidence map›Paper›PMID 41901109›Full record

ArticleNutrients2026

Perceptions of Registered Dietitian Nutritionists (RDNs) on the Use of Artificial Intelligence (AI) in Clinical Nutrition Care: A Cross-Sectional Survey Within a Large U.S. Healthcare System.

Danelle Johnson, Ryan T Hurt, Manpreet S Mundi, Bradley R Salonen, Sara L Bonnes, Darrell R Schroeder, Shawn C Fokken, Ivana T Croghan, Jithinraj Edakkanambeth Varayil

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article 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
1 · What the graph read from it

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 registry

The 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 literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Danelle JohnsonDivision of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0009-0000-4475-9180
Ryan T HurtDivision of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-1158-7559
Manpreet S MundiDivision of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-7902-3544
Bradley R SalonenDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Sara L BonnesDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-1488-3417
Darrell R SchroederDepartment of Biostatistics, Mayo Clinic, Rochester, MN 55905, USA.
Shawn C FokkenDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Ivana T CroghanDepartment of Internal Medicine, Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-3464-3525
Jithinraj Edakkanambeth VarayilDepartment of Family Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0001-9738-6699

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelNutritionistsNutrition TherapyAdultCross-Sectional StudiesDelivery of Health CareDieteticsFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited Statesartificial intelligenceclinical nutritionnutritionregistered dietitian nutritionist

Identifiers

PMID41901109
PMCPMC13029683

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.