Evidence map›Paper›PMID 37304818›Full record

ArticleFrontiers in physiology2023

RedTell: an AI tool for interpretable analysis of red blood cell morphology.

Ario Sadafi, Maria Bordukova, Asya Makhro, Nassir Navab, Anna Bogdanova, Carsten Marr

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 9% of its field
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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Unbiased Morphometric Assessment of Red Blood Cell Storage Lesion in the Presence of Shear-Induced Stomatocytes.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2025
    Article
  4. Review
  5. Lysis of human erythrocytes due to Piezo1-dependent cytosolic calcium overload as a mechanism of circulatory removal.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
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 at 3 institutions in 3 countries.

Ario SadafiInstitute of AI for Health, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Maria BordukovaInstitute of AI for Health, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Asya MakhroRed Blood Cell Research Group, Institute of Veterinary Physiology, Vetsuisse Faculty and the Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
Nassir NavabChair for Computer Aided Medical Procedures & Augmented Reality, Technical University of Munich, Garching, Germany.
Anna BogdanovaRed Blood Cell Research Group, Institute of Veterinary Physiology, Vetsuisse Faculty and the Zurich Center for Integrative Human Physiology, University of Zurich, Zurich, Switzerland.
Carsten MarrInstitute of AI for Health, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Helmholtz Zentrum München · DETechnical University of Munich · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

classificationdeep learninginterpretable machine learningmicroscopic image analysismorphological features extractionsegmentationsingle red blood cellsvesicle detection

Identifiers

PMID37304818
PMCPMC10250619
OpenAlexW4378386586

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.