Evidence map›Paper›PMID 42354532›Full record

ReviewHealthcare (Basel, Switzerland)2026

Artificial Intelligence in Early Breast Cancer Detection: A Systematic Review of Innovations in Preventive Women's Healthcare.

Anastasia Bothou, Angeliki Bolou, Konstantinos Dinas, Giannoula Kyrkou, Deniece Hardy, Panagiota Pappou, Pinelopi Varela, Georgia Margioula-Siarkou, Myrsini Balafouta, Athina Diamanti

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anastasia BothouDepartment of Midwifery, University of West Attica, 122 43 Athens, Greece.ORCID 0000-0003-3928-8489
Angeliki BolouDepartment of Midwifery, University of West Attica, 122 43 Athens, Greece.
Konstantinos DinasGynecologic Oncology Unit, 2nd Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece.ORCID 0000-0001-7144-2840
Giannoula KyrkouDepartment of Midwifery, University of West Attica, 122 43 Athens, Greece.ORCID 0009-0007-0682-3592
Deniece HardyDepartment of Midwifery, University of Greenwich, London SE10 9LS, UK.ORCID 0009-0008-7985-7002
Panagiota PappouDepartment of Midwifery, University of West Attica, 122 43 Athens, Greece.
Pinelopi VarelaDepartment of Midwifery, International Hellenic University, 570 01 Thessaloniki, Greece.
Georgia Margioula-SiarkouGynecologic Oncology Unit, 2nd Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, 546 42 Thessaloniki, Greece.
Myrsini BalafoutaDepartment of Biomedical Sciences, University of West Attica, 122 43 Athens, Greece.
Athina DiamantiDepartment of Midwifery, University of West Attica, 122 43 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebreast cancer screeningdeep learningdiagnostic imagingearly detectionhealthcare innovationpreventive healthcarewomen’s health

Identifiers

PMID42354532
PMCPMC13299207

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.