Evidence map›Paper›PMID 40935607›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2025

Artificial Intelligence-Powered Quantification of Flortaucipir PET for Detecting Tau Pathology.

Hye Bin Yoo, Seung Kwan Kang, Seong A Shin, Daewoon Kim, Hongyoon Choi, Yu Kyeong Kim, Dahyun Yi, Min Soo Byun, Dong Young Lee, Jae Sung Lee and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 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

11 authors.

Hye Bin YooInstitute for Data Innovation in Science, Seoul National University, Seoul, Korea.
Seung Kwan KangBrightonix Imaging Inc., Seoul, Korea.
Seong A ShinBrightonix Imaging Inc., Seoul, Korea.
Daewoon KimInterdisciplinary Program of Bioengineering, Seoul National University, Seoul, Korea.
Hongyoon ChoiDepartment of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yu Kyeong KimDepartment of Nuclear Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
Dahyun YiInstitute of Human Behavioral Medicine, Seoul National University Medical Research Center, Seoul, Korea.
Min Soo ByunDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Korea.
Dong Young LeeDepartment of Psychiatry, Seoul National University College of Medicine, Seoul, Korea.
Jae Sung LeeBrightonix Imaging Inc., Seoul, Korea; jaes@snu.ac.kr.
Alzheimer’s Disease Neuroimaging Initiative, Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s Disease Research Group

Funding

KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems BiologyU01AG072177 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI LEE, DONG YOUNG, NHO, KWANGSIK TIMOTHY · 2021 to 2025
$11.2M
NIA NIH HHS U01 AG072177
6 · The paper itself

Abstract

We developed and evaluated an artificial intelligence (AI)-powered approach for easier quantification of tau PET uptake without requiring structural MR to aid earlier tracking of Alzheimer disease (AD).

Indexed as

Alzheimer DiseaseArtificial IntelligenceCarbolinesPositron-Emission Tomographytau ProteinsAgedFemaleHumansImage Processing, Computer-AssistedMale7-(6-fluoropyridin-3-yl)-5H-pyrido(4,3-b)indoleCarbolinestau ProteinsAI-powered image processingautomatic spatial normalizationBraak stageflortaucipir PEThyperphosphorylated tau

Identifiers

PMID40935607
PMCPMC12582182

What OpenQuestion holds

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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.