Evidence map›Paper›PMID 40532658›Full record

ArticleCell reports. Medicine2025

PerioAI: A digital system for periodontal disease diagnosis from an intra-oral scan and cone-beam CT image.

Minhui Tan, Zhiming Cui, Yuan Li, Yu Fang, Lanzhuju Mei, Yue Zhao, Xinyu Wu, Hongchang Lai, Maurizio S Tonetti, Dinggang Shen

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07505251 (Development and Validation of the Periodontal Map Derived From IOS and CBCT Registration for Diagnosis and Treatment Planning in Moderate-to-severe Periodontitis), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT07505251 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Development and Validation of the Periodontal Map Derived From IOS and CBCT Registration for Diagnosis and Treatment Planning in Moderate-to-severe Periodontitis

Typeobservational_patient_registrySponsorShanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong UniversityRan2026 to 2028Enrolled80ConditionsPeriodontitis Stage II, Periodontitis Stage III, Periodontitis Stage IVArmsPerio AI V2.0 System
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. [Artificial intelligence in stomatology: Innovations in clinical practice, research, education, and healthcare management].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Review
  8. Review
  9. Review
  10. 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

10 authors.

Minhui TanShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Zhiming CuiSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Yuan LiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Oral and Maxillofacial Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center of Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Research Institute of Stomatology, Shanghai, China.
Yu FangSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Lanzhuju MeiSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
Yue ZhaoSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Nan'an District, Chongqing, China.
Xinyu WuShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Oral and Maxillofacial Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center of Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Research Institute of Stomatology, Shanghai, China.
Hongchang LaiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Oral and Maxillofacial Implantology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center of Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Research Institute of Stomatology, Shanghai, China.
Maurizio S TonettiShanghai PerioImplant Innovation Center, Institute for Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, Shanghai, China; National Center of Stomatology, Shanghai, China; National Clinical Research Center for Oral Diseases, Shanghai, China; Shanghai Key Laboratory of Stomatology, Shanghai, China; European Research Group on Periodontology, Genoa, Italy. Electronic address: maurizio.tonetti@ergoperio.eu.
Dinggang ShenSchool of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China; Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China; Shanghai Clinical Research and Trial Center, Shanghai, China. Electronic address: dinggang.shen@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periodontal disease diagnosis and treatment planning are critical for preventing bone and tooth loss. Clinically, dentists manually measure periodontal pocket depth with probes while integrating bone structure from imaging to assess periodontal status, a process that is subjective, invasive, and cognitively burdensome. Here, we propose PerioAI, an accurate, automatic, and non-invasive system that directly measures the gingiva-bone distance (GBD) and provides soft and hard tissue information digitally. PerioAI is a full-stack process comprising four key components: intra-oral scan (IOS) segmentation, cone-beam computed tomography (CBCT) image segmentation, multimodal data fusion, and digital probing measurement. We evaluated PerioAI on multicenter cohorts comprising 2,507 patients. Outstanding IOS and CBCT segmentation performances ensure accuracy throughout the full-stack process. Moreover, digital probing achieves remarkable precision with only 0.040mm error. This approach has the potential to substantially improve clinical workflows in periodontal disease management, offering a more precise, patient-friendly method for diagnosis and treatment decision-making.

Indexed as

Cone-Beam Computed TomographyPeriodontal DiseasesAdultFemaleGingivaHumansImage Processing, Computer-AssistedMaleMiddle Agedcone-beam computed tomography imageintra-oral scanperiodontal disease diagnosissegmentation and measurement

Identifiers

PMID40532658
PMCPMC12208318

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Registered trials

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.