Evidence map›Paper›PMID 41156086›Full record

ArticleJournal of clinical medicine2025

Development and Validation of Transformer- and Convolutional Neural Network-Based Deep Learning Models to Predict Curve Progression in Adolescent Idiopathic Scoliosis.

Shinji Takahashi, Shota Ichikawa, Kei Watanabe, Haruki Ueda, Hideyuki Arima, Yu Yamato, Takumi Takeuchi, Naobumi Hosogane, Masashi Okamoto, Manami Umezu and 3 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

13 authors.

Shinji TakahashiDepartment of Orthopaedic Surgery, Osaka Metropolitan University, 1-4-3 Asahimachi Abeno-ku, Osaka 545-8585, Japan.ORCID 0000-0002-6906-5406
Shota IchikawaDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata 951-8518, Japan.ORCID 0000-0002-4275-1422
Kei WatanabeNiigata Spine Surgery Center, Kameda Daiichi Hospital, Niigata 950-0165, Japan.ORCID 0000-0002-8743-7074
Haruki UedaDepartment of Orthopaedic Surgery, Dokkyo Medical University, 880 Kitakobayashi, Shimotsuga, Mibu 321-0293, Japan.ORCID 0000-0002-5195-9874
Hideyuki ArimaDepartment of Orthopaedic Surgery, Shinshu University School of Medicine, Hamamatsu 431-3192, Japan.ORCID 0000-0003-0586-6818
Yu YamatoDepartment of Orthopaedic Surgery, Shinshu University School of Medicine, Hamamatsu 431-3192, Japan.ORCID 0000-0002-4701-8211
Takumi TakeuchiDepartment of Orthopaedic Surgery, Kyorin University, Tokyo 181-8611, Japan.
Naobumi HosoganeDepartment of Orthopaedic Surgery, Kyorin University, Tokyo 181-8611, Japan.ORCID 0000-0002-2070-4043
Masashi OkamotoDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata 951-8518, Japan.
Manami UmezuDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata 951-8518, Japan.
Hiroki ObaDepartment of Orthopaedic Surgery, Shinshu University School of Medicine, Matsumoto 390-8621, Japan.
Yohan KondoDepartment of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata 951-8518, Japan.ORCID 0000-0003-3744-0598
Shoji SekiDepartment of Orthopaedic Surgery, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan.ORCID 0000-0001-9930-5100

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

adolescent idiopathic scoliosisartificial intelligenceconvolutional neural networkcurve progressionprediction

Identifiers

PMID41156086
PMCPMC12565354

What OpenQuestion holds

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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.