Evidence map›Paper›PMID 41497254›Full record

ReviewJournal of the National Cancer Center2025

Artificial intelligence-integrated wearable biomedical devices for cancer management.

Penghua Zhai, Weixin Xu, Guifang Duan, Yukun Wu, Mingxin Qi, Lingqian Chang, Wei Mu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of the National Cancer Center, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Penghua ZhaiSchool of Engineering Medicine, Beihang University, Beijing, China.
Weixin XuSchool of Engineering Medicine, Beihang University, Beijing, China.
Guifang DuanState Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, China.
Yukun WuSchool of Engineering Medicine, Beihang University, Beijing, China.
Mingxin QiSchool of Engineering Medicine, Beihang University, Beijing, China.
Lingqian ChangSchool of Engineering Medicine, Beihang University, Beijing, China.
Wei MuSchool of Engineering Medicine, Beihang University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer remains the leading cause of death globally. Early diagnosis and intervention play deterministic roles in improving clinical prognosis. Traditional cancer management heavily depends on central hospital-based imaging and invasive diagnostics, which are intermittent and costly. Moreover, these strategies show limitations to patient compliance and real-time diagnosis. The emergence of wearable biomedical devices (WBDs) has offered a compelling alternative, enabling continuous, non-invasive

Indexed as

Artificial intelligenceCancer managementDrug deliveryEarly diagnosisWearable biomedical devices

Identifiers

PMID41497254
PMCPMC12766196

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.