Evidence map›Paper›PMID 38250039›Full record

ArticleTheranostics2024

Deep learning for automatic organ and tumor segmentation in nanomedicine pharmacokinetics.

Alex Dhaliwal, Jun Ma, Mark Zheng, Qing Lyu, Maneesha A Rajora, Shihao Ma, Laura Oliva, Anthony Ku, Michael Valic, Bo Wang and 1 more

Abstract read
In one paragraph

Article in Theranostics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  2. Article
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  6. Machine Learning-Enhanced Nanoparticle Design for Precision Cancer Drug Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
  8. Review
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  10. Article
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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.

Alex DhaliwalPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Jun MaDepartment of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, Toronto, M5S 1A8, Ontario, Canada.
Mark ZhengPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Qing LyuDepartment of Computer Science, University of Toronto, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Maneesha A RajoraPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Shihao MaDepartment of Computer Science, University of Toronto, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Laura OlivaTechna Institute, University Health Network, 190 Elizabeth Street, Toronto, M5G 2C4, Ontario, Canada.
Anthony KuDepartment of Radiology, Stanford University, 1201 Welch Road, Stanford, 94305-5484, California, United States of America.
Michael ValicPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.
Bo WangDepartment of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, Toronto, M5S 1A8, Ontario, Canada.
Gang ZhengPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, M5G 1L7, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningNeoplasmsAnimalsHeartMiceNanomedicinePositron Emission Tomography Computed TomographyAuto-SegmentationContouringCTDeep LearningFunctional ImagingMultimodalMultiparameterNanomedicinePETPharmacokineticsRadioimaging

Identifiers

PMID38250039
PMCPMC10797295

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.