Evidence map›Paper›PMID 40172324›Full record

ArticleRadiology. Artificial intelligence2025

Temporal Hindsight, Clinical Foresight: Longitudinal Lymphoma Analysis at PET/CT.

Bardia Khosravi, Judy W Gichoya

Abstract readComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Artificial intelligence, 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

5 · Who and what money

Authors and funding

2 authors.

Bardia KhosraviDepartment of Radiology, Mayo Clinic, 200 1st St SE, Rochester, MN 55905.ORCID 0000-0002-8024-339X
Judy W GichoyaDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Ga.ORCID 0000-0002-1097-316X

Funding

RADX TECH - CERES NANOSCIENCE INC NANOTRAP PARTICLE MANUFACTURING75N92020C00021 · NHLBI · CERES NANOSCIENCES, LLLP · PI DUNLAP, ROSS · 2021 to 2021
$4.0M
Opportunistic Screening for ASCVD using a Multimodal Deep Learning Risk Prediction ModelR01HL167811 · NHLBI · MAYO CLINIC ARIZONA · PI Imon Banerjee, Judy Gichoya · 2024 to 2026
$2.1M
NHLBI NIH HHS 75N92020C00008NHLBI NIH HHS 75N92020C00021NHLBI NIH HHS R01 HL167811NIMHD NIH HHS L60 MD001936
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40172324
PMCPMC12127951

What OpenQuestion holds

Textmetadata
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.