Evidence map›Paper›PMID 42604276›Full record

ArticleHealthcare technology letters

Nour Karoui, Isabelle Bloch, Ignacio Avellino

Abstract read
In one paragraph

Article in Healthcare technology letters. 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

3 authors.

Nour KarouiSorbonne Université, CNRS, INSERM Institut des Systèmes Intelligents et de Robotique, ISIR Paris France.ORCID https://orcid.org/0009-0000-6144-8480
Isabelle BlochSorbonne Université, CNRS, LIP6 Paris France.ORCID https://orcid.org/0000-0002-6984-1532
Ignacio AvellinoSorbonne Université, CNRS, INSERM Institut des Systèmes Intelligents et de Robotique, ISIR Paris France.ORCID https://orcid.org/0000-0002-1496-3794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In minimally-invasive surgery, consulting preoperative images such as MRI or CT scans often diverts surgeons' attention from the operative field, leading to interruptions and increasing operative time. To overcome this, we propose

Indexed as

automated instrument segmentation in imagesminimally‐invasive surgerymixed realitytouchless interaction

Identifiers

PMID42604276
PMCPMC13476797

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.