Evidence map›Paper›PMID 37342720›Full record

ArticleBiomedical optics express2023

Real-time closed-loop tissue-specific laser osteotomy using deep-learning-assisted optical coherence tomography.

Yakub A Bayhaqi, Arsham Hamidi, Alexander A Navarini, Philippe C Cattin, Ferda Canbaz, Azhar Zam

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Review
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.

Yakub A BayhaqiBiomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0003-4193-5067
Arsham HamidiBiomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0002-3138-8939
Alexander A NavariniDigital Dermatology Group, Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.
Philippe C CattinCenter for medical Image Analysis and Navigation (CIAN), Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0001-8785-2713
Ferda CanbazBiomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0003-4192-7163
Azhar ZamBiomedical Laser and Optics Group (BLOG), Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.ORCID https://orcid.org/0000-0001-7789-5680

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a real-time noninvasive method for detecting bone and bone marrow in laser osteotomy. This is the first optical coherence tomography (OCT) implementation as an online feedback system for laser osteotomy. A deep-learning model has been trained to identify tissue types during laser ablation with a test accuracy of 96.28 %. For the hole ablation experiments, the average maximum depth of perforation and volume loss was 0.216 mm and 0.077 mm

Identifiers

PMID37342720
PMCPMC10278623

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.