Evidence map›Paper›PMID 36389623›Full record

ReviewAsia-Pacific journal of oncology nursing2022

Artificial intelligence in early diagnosis and prevention of oral cancer.

Shruthi Hegde, Vidya Ajila, Wei Zhu, Canhui Zeng

Registry-linked trialAbstract readReview
In one paragraph

Review in Asia-Pacific journal of oncology nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06862414 (Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders), which is not on this map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 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.

NCT06862414 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Application and Validation of a Smartphone-based Deep Learning System for Oral Potentially Malignant Disorders (OPMD) and Oral Cancer Screening

TypeinterventionalSponsorNational Taiwan University HospitalRan2025 to 2025Enrolled954ConditionsCancer Screening, Oral Cancer, Oral Potentially Malignant DisordersArmsSmartphone-based deep learning system
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Artificial Intelligence in Dentistry: A Narrative Review of Diagnostic and Therapeutic Applications.Medical science monitor : international medical journal of experimental and clinical research · 2025
    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

4 authors.

Shruthi HegdeNitte (Deemed to Be University), AB Shetty Memorial Institute of Dental Sciences (ABSMIDS), Department of Oral Medicine and Radiology, Mangalore, India.
Vidya AjilaNitte (Deemed to Be University), AB Shetty Memorial Institute of Dental Sciences (ABSMIDS), Department of Oral Medicine and Radiology, Mangalore, India.
Wei ZhuDepartment of Nursing, Shandong Medical College, Jinan, China.
Canhui ZengDepartment of Emergency Medicine, Integrative Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global occurrence of oral cancer (OC) has increased in recent years. OC that is diagnosed in its advanced stages results in morbidity and mortality. The use of technology may be beneficial for early detection and diagnosis and thus help the clinician with better patient management. The advent of artificial intelligence (AI) has the potential to improve OC screening. AI can precisely analyze an enormous dataset from various imaging modalities and provide assistance in the field of oncology. This review focused on the applications of AI in the early diagnosis and prevention of OC. A literature search was conducted in the PubMed and Scopus databases using the search terminology "oral cancer" and "artificial intelligence." Further information regarding the topic was collected by scrutinizing the reference lists of selected articles. Based on the information obtained, this article reviews and discusses the applications and advantages of AI in OC screening, early diagnosis, disease prediction, treatment planning, and prognosis. Limitations and the future scope of AI in OC research are also highlighted.

Indexed as

Artificial intelligenceEarly diagnosisOral cancerScreening

Identifiers

PMID36389623
PMCPMC9664349

What OpenQuestion holds

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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.