Evidence map›Paper›PMID 40414918›Full record

ArticleScientific reports2025

A visualization system for intelligent diagnosis and statistical analysis of oral diseases based on panoramic radiography.

Yue Hong, Tianya Pan, Shenji Zhu, Miaoxin Hu, Zhiguang Zhou, Ting Xu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Yue HongDepartment of Stomatology, First Affiliated Hospital, Zhejiang University, Hangzhou, China.
Tianya PanIntelligent Big Data Visualization Lab, Hangzhou Dianzi University, Hangzhou, China.
Shenji ZhuIntelligent Big Data Visualization Lab, Hangzhou Dianzi University, Hangzhou, China.
Miaoxin HuIntelligent Big Data Visualization Lab, Hangzhou Dianzi University, Hangzhou, China.
Zhiguang ZhouIntelligent Big Data Visualization Lab, Hangzhou Dianzi University, Hangzhou, China. zhgzhou@hdu.edu.cn.
Ting XuDepartment of Stomatology, First Affiliated Hospital, Zhejiang University, Hangzhou, China. xut@zju.edu.cn.

Funding

Public Welfare Plan Research Project of Zhejiang Provincial Science and Technology Department No.LTGG23H260003the National Natural Science Foundation of China No. 62177040, No.62277013the National Statistical Science Research Project No.2023LZ035, No.2022LY099
6 · The paper itself

Abstract

Panoramic radiography is an essential auxiliary diagnostic tool for oral diseases. It is a difficult and time-consuming task to conduct extensive panoramic radiography interpretation. These challenges are exacerbated by the creation of electronic medical records and the investigation of oral diseases using collective data. So, we develop a visualization system based on panoramic radiographs. Its function focuses on the intelligent diagnosis and statistical analysis of oral diseases. Firstly, we provide a human-machine collaborative tool for the diagnosis and data extraction of oral diseases in panoramic radiographs. After that, the system generates electronic medical records, including visual charts of oral health status and radiology reports. We further develop statistical correlation analysis to visually evaluate and interactively explore the statistical data from oral health surveys. We conduct intelligent diagnosis, obtain the electronic medical records and do collective analysis based on 521 panoramic radiographs. The available analyses cover disease-prone teeth, disease distribution per tooth position and association of age, sex with oral diseases. The results are reported from a comprehensive case study showing that our system can improve the efficiency in disease detection and data mining. It can also fuel research studies in the field of public oral health and provide robust support for oral healthcare strategies.

Indexed as

Mouth DiseasesRadiography, PanoramicAdolescentAdultAgedElectronic Health RecordsFemaleHumansMaleMiddle AgedOral HealthYoung AdultDiagnosisOral diseasePanoramic radiographyStatistical analysisVisualization system

Identifiers

PMID40414918
PMCPMC12104361

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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.