ReviewCureus2025
Artificial Intelligence in the Evolution of Customized Skincare Regimens.
Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Glutathione in Skin Aging and Tissue Regeneration: A Systematic Review of Molecular Mechanisms, Redox Modulation, and Biomedical Implications.Molecules (Basel, Switzerland) · 2026Pooled it
- Cyclodextrin-Based Delivery Systems in Cosmeceuticals: Current Advances and Future Perspectives.Biomolecules · 2026Review
- Nanotechnology in Dermatology: A Comprehensive Narrative Review of Performance, Safety, and Clinical Translation.Health science reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is revolutionizing multiple industries, including health care and cosmetics, with particular promise in personalized skincare. This literature review explores recent advancements in AI technology that enable the development of highly customized skincare regimens. By integrating intrinsic factors such as skin type, pigmentation, texture, and genetic predispositions with external influences such as product ingredients, lifestyle choices, and environmental conditions, AI offers a sophisticated approach to managing skin health. AI's ability to analyze and synthesize vast amounts of data allows for a more comprehensive understanding of how these factors interact, facilitating the prediction of long-term skin health outcomes with greater accuracy. Moreover, AI-driven innovations enable the creation of dynamic, adaptive skincare routines that adjust in real-time to physiological changes and external conditions, ensuring a personalized treatment that evolves with each individual's dermatological needs. As AI technology advances, its role in skincare is expected to deliver increasingly personalized and effective therapies, shifting from traditional, static skincare approaches to a more dynamic paradigm. This transformation holds great promise for improving dermatological outcomes and enhancing patient satisfaction through tailored real-time skincare management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.