Evidence map›Paper›PMID 36709380›Full record

ArticleScientific reports2023

Computer-aided design and 3-dimensional artificial/convolutional neural network for digital partial dental crown synthesis and validation.

Taseef Hasan Farook, Saif Ahmed, Nafij Bin Jamayet, Farah Rashid, Aparna Barman, Preena Sidhu, Pravinkumar Patil, Awsaf Mahmood Lisan, Sumaya Zabin Eusufzai, James Dudley and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
9.2field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. The Potential of Artificial Intelligence in Prosthodontics: A Comprehensive Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Pooled it
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  15. Teeth Microcracks Research: Towards Multi-Modal Imaging.Bioengineering (Basel, Switzerland) · 2023
    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

11 authors at 4 institutions in 3 countries.

Taseef Hasan FarookAdelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
Saif AhmedDepartment of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.
Nafij Bin JamayetRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, 126, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Bukit Jalil, Wilayah Persekutuan Kuala Lumpur, Malaysia.
Farah RashidSchool of Dental Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia.
Aparna BarmanSchool of Dental Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia.
Preena SidhuRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, 126, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Bukit Jalil, Wilayah Persekutuan Kuala Lumpur, Malaysia.
Pravinkumar PatilRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, 126, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Bukit Jalil, Wilayah Persekutuan Kuala Lumpur, Malaysia.
Awsaf Mahmood LisanDepartment of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh.
Sumaya Zabin EusufzaiSchool of Dental Sciences, Universiti Sains Malaysia, 16150, Kota Bharu, Kelantan, Malaysia.
James DudleyAdelaide Dental School, The University of Adelaide, Adelaide, South Australia, Australia.
Umer DaoodRestorative Dentistry Division, School of Dentistry, International Medical University Kuala Lumpur, 126, Jalan Jalil Perkasa 19, Bukit Jalil, 57000, Bukit Jalil, Wilayah Persekutuan Kuala Lumpur, Malaysia. umerdaood@imu.edu.my.
International Medical University · MYHospital Universiti Sains Malaysia · MYNorth South University · BDUniversity of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current multiphase, invitro study developed and validated a 3-dimensional convolutional neural network (3D-CNN) to generate partial dental crowns (PDC) for use in restorative dentistry. The effectiveness of desktop laser and intraoral scanners in generating data for the purpose of 3D-CNN was first evaluated (phase 1). There were no significant differences in surface area [t-stat(df) = - 0.01 (10), mean difference = - 0.058, P > 0.99] and volume [t-stat(df) = 0.357(10)]. However, the intraoral scans were chosen for phase 2 as they produced a greater level of volumetric details (343.83 ± 43.52 mm

Indexed as

Computer-Aided DesignCrownsDental CareHumansImaging, Three-DimensionalNeural Networks, ComputerTooth Preparation

Identifiers

PMID36709380
PMCPMC9884213
OpenAlexW4318338129

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.