Evidence map›Paper›PMID 42019980›Full record

ReviewCancer reports (Hoboken, N.J.)2026

Application of Digital Medicine to the Diagnosis and Treatment of Head and Neck Tumors.

Bin He, Yanghao Hu, Zhikai Wang, Yejingwen Tong, Shengqi Gan, Yaojie Zhu, Chongyang Wang, Dong Ye

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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. 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

8 authors.

Bin HeDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Yanghao HuDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Zhikai WangDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Yejingwen TongDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Shengqi GanDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Yaojie ZhuDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Chongyang WangDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.
Dong YeDepartment of Otorhinolaryngology-Head and Neck Surgery, the Affiliated Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China.ORCID 0000-0003-2055-0256

Funding

2024 Teaching and Research Project of Ningbo University JYXM2024122Key Project of Huili Foundation 2022ZD003key project of the Ningbo Education Science Planning 2025YZD001Natural Science Foundation of Ningbo Municipality 2023J213Ningbo Clinical Research Center for Otolaryngology Head and Neck Disease 2022L005Ningbo Public Welfare Science and Technology Plan Key Project 2024S032Ningbo Top Medical and Health Research Program 2023030514Ninghai Science and Technology Project 05postgraduate course construction project of Medical School of Ningbo University
6 · The paper itself

Abstract

backgroundThe annual incidence of head and neck tumors (HNTs) is increasing, and their complex anatomical structure makes diagnosis, treatment, and prognosis assessment highly challenging. This narrative review aims to summarize the application status of digital medicine in the diagnosis, treatment, and prognosis evaluation of HNTs. RECENT

findingsDigital medical technologies have advanced rapidly in recent years. Digital imaging (CT, MRI, and ultrasonography) is widely used for tumor localization, progression monitoring, and treatment efficacy evaluation. Artificial intelligence optimizes tumor detection and radiotherapy planning via deep learning models, improving diagnostic accuracy and therapeutic effects. 3D printing shows significant clinical value in preoperative planning and personalized surgical navigation. Current research limitations are also identified.

conclusionDigital medicine is expected to further promote the early diagnosis of HNTs, support the establishment of personalized precision treatment strategies, and ultimately improve the quality of life and prognosis of patients.

Indexed as

Head and Neck NeoplasmsArtificial IntelligenceDigital HealthEarly Detection of CancerHumansPrecision MedicinePrognosisQuality of Lifedigital medicineearly diagnosishead and neck tumorsprecision treatmentprognosis assessment

Identifiers

PMID42019980
PMCPMC13102511

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.