Evidence map›Paper›PMID 42848651›Full record

ArticleRevista da Associacao Medica Brasileira (1992)2026

Artificial intelligence in acne vulgaris patients.

Tuğba Atak, Tuba Betül Karadeniz

Abstract read
In one paragraph

Article in Revista da Associacao Medica Brasileira (1992), 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

2 authors.

Tuğba AtakKırıkkale University, Faculty of Medicine, Dermatology Clinic - Kırıkkale, Türkiye.ORCID http://orcid.org/0000-0002-6068-7444
Tuba Betül KaradenizKırıkkale University, Faculty of Medicine, Dermatology Clinic - Kırıkkale, Türkiye.ORCID http://orcid.org/0000-0002-3977-1801

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to evaluate the experiences and confidence levels of acne patients using artificial intelligence tools. This study investigates whether patients view artificial intelligence as a standalone resource or a facilitator of physician collaboration to support the ethical implementation of healthcare technologies.

methodsThis cross-sectional, descriptive study included acne patients aged ≥18 years with internet access. Alongside physician-led clinical evaluations, a structured questionnaire was administered.

resultsAmong 123 patients (81.3% female), 45.5% utilized artificial intelligence tools for general health purposes before consulting a physician, with acne-specific artificial intelligence usage being significantly driven by the perception of rapid access (r=0.490, p<0.001). Despite this interest, 67.5% insisted on professional validation for artificial intelligence advice, and notably, no significant correlation was found between clinical acne score and artificial intelligence utilization for acne management. Additionally, 55.3% of participants expressed concern about the risk of artificial intelligence making incorrect diagnoses, and 48.8% stated that they were reluctant to share personal data, such as photos, with these systems. Of those who prefer artificial intelligence, 53.7% use it for "rapid and easy access," while 52% stated that they "would never use it without consulting a doctor."

conclusionThe integration of artificial intelligence in dermatology necessitates a physician-led, transparent approach that prioritizes digital health literacy and ensures these tools serve as supervised supplements rather than a replacement for human-centered care.

Indexed as

Acne VulgarisArtificial IntelligenceAdolescentAdultCross-Sectional StudiesDigital HealthFemaleHumansMaleSurveys and QuestionnairesYoung Adult

Identifiers

PMID42848651
PMCPMC13649232

What OpenQuestion holds

Textmetadata
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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.