Evidence map›Paper›PMID 42075047›Full record

Observational studyNutrients2026

Enhancing Hospital Nutrition Assessment Through Artificial Intelligence: A Prospective Tray-Level Pilot Study.

Sofia Favaretto, Honoria Ocagli, Giorgia Shasivari, Paolo Da Rold, Federica Zobec, Solidea Baldas, Chiara Giarracca, Giuseppe Donnarumma, Giulia Lorenzoni, Corrado Lanera and 2 more

Abstract readObservational Study
In one paragraph

Observational 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
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

12 authors.

Sofia FavarettoUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.ORCID 0009-0007-3401-2607
Honoria OcagliUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.ORCID 0000-0002-5823-1659
Giorgia ShasivariZeta Research Ltd., 34129 Trieste, Italy.
Paolo Da RoldZeta Research Ltd., 34129 Trieste, Italy.
Federica ZobecZeta Research Ltd., 34129 Trieste, Italy.
Solidea BaldasZeta Research Ltd., 34129 Trieste, Italy.ORCID 0000-0002-3670-2069
Chiara GiarraccaUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.
Giuseppe DonnarummaZeta Research Ltd., 34129 Trieste, Italy.ORCID 0000-0002-0287-9069
Giulia LorenzoniUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.ORCID 0000-0003-1771-4686
Corrado LaneraUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.ORCID 0000-0002-0520-7428
Alois SallerDepartment of Internal Medicine, S. Antonio Hospital, 35127 Padua, Italy.ORCID 0000-0003-2131-8731
Dario GregoriUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac-Thoracic-Vascular Sciences and Public Health, University of Padova, 35121 Padua, Italy.ORCID 0000-0001-7906-0580

Funding

European Union NextGenerationEU through the Second Edition of the Public Notice for the selection of project proposals under the Research Programme of Spoke 7 "Policy, Behaviour and Education" of the Extended Partnership ONFOODS "Research and Innovation Network on Food
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceMalnutritionNutrition AssessmentAgedDiet RecordsFeasibility StudiesFemaleFood Loss and WasteHospitalizationHospitalsHumansItalyMaleMiddle AgedPilot ProjectsProspective StudiesFood Loss and Wasteartificial intelligencedisease-related malnutritionfood intake estimationfood wastehospitalized patientsimage-based dietary assessment

Identifiers

PMID42075047
PMCPMC13118341

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.