Evidence map›Paper›PMID 40545501›Full record

ReviewDermatology and therapy2025

Transforming Aesthetic Dermatology: The Role of Artificial Intelligence in Skin Health.

Xiang Chen, Zhaokang Zhou, Hui Ding, Huiying Zheng, Yiping Ge

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Dermatology and therapy, 2025. 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

5 authors.

Xiang ChenHospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China.
Zhaokang ZhouHospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China.
Hui DingHospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China.
Huiying ZhengHospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China.
Yiping GeHospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, 12 Jiangwangmiao Street, Nanjing, 210042, People's Republic of China. gypfeng@hotmail.com.ORCID http://orcid.org/0000-0003-4298-7600

Funding

Chinese Academy of Medical Science Innovation Fund For Medical Sciences 2023-I2M-C&T-B-113
6 · The paper itself

Abstract

Artificial intelligence (AI) has profoundly impacted various medical fields, including dermatology, which is to a large extent an image-based discipline. Initially applied in general dermatology, AI has expanded into aesthetic dermatology, where it assists in integrating objective approaches with the aesthetic judgment of dermatologists. This review explores the role of AI in aesthetic dermatology, focusing on skin condition assessment, diagnosis, treatment optimization, and patient education, as well as the challenges and future directions in this evolving field.

Indexed as

Aesthetic dermatologyArtificial intelligenceDeep learningSkin condition diagnosis

Identifiers

PMID40545501
PMCPMC12256394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.