Evidence map›Paper›PMID 41095653›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Diagnostic Efficacy of Olfactory Function Test Using Functional Near-Infrared Spectroscopy with Machine Learning in Healthy Adults: A Prospective Diagnostic-Accuracy (Feasibility/Validation) Study in Healthy Adults with Algorithm Development.

Minhyuk Lim, Seonghyun Kim, Dong Keon Yon, Jaewon Kim

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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

4 authors.

Minhyuk LimInstitute for Artificial Intelligence, N.CER Co., Ltd., Gwangju 61005, Republic of Korea.
Seonghyun KimInstitute for Artificial Intelligence, N.CER Co., Ltd., Gwangju 61005, Republic of Korea.
Dong Keon YonCenter for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul 02447, Republic of Korea.ORCID 0000-0003-1628-9948
Jaewon KimInstitute for Artificial Intelligence, N.CER Co., Ltd., Gwangju 61005, Republic of Korea.ORCID 0000-0003-1365-3089

Funding

Ministry of SMEs and Startups RS-2023-00274271Ministry of Trade, Industry and Energy RS-2024-00433283
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

functional near-infrared spectroscopymachine learningYSK olfactory function

Identifiers

PMID41095653
PMCPMC12523926

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.