Evidence map›Paper›PMID 37732298›Full record

ArticleJournal of pathology informatics2023

Cell projection plots: A novel visualization of bone marrow aspirate cytology.

Taher Dehkharghanian, Youqing Mu, Catherine Ross, Monalisa Sur, H R Tizhoosh, Clinton J V Campbell

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2023. 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

6 authors.

Taher DehkharghanianMcMaster University, Hamilton, Canada.
Youqing MuMcMaster University, Hamilton, Canada.
Catherine RossMcMaster University, Hamilton, Canada.
Monalisa SurMcMaster University, Hamilton, Canada.
H R TizhooshRhazes Lab, Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, USA.
Clinton J V CampbellMcMaster University, Hamilton, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep models for cell detection have demonstrated utility in bone marrow cytology, showing impressive results in terms of accuracy and computational efficiency. However, these models have yet to be implemented in the clinical diagnostic workflow. Additionally, the metrics used to evaluate cell detection models are not necessarily aligned with clinical goals and targets. In order to address these issues, we introduce novel, automatically generated visual summaries of bone marrow aspirate specimens called

Indexed as

Artificial intelligenceDigital pathologyHematopathologyInterpretable AIMachine learning

Identifiers

PMID37732298
PMCPMC10507226

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.