ReviewJournal of the American Academy of Dermatology2021
Machine learning for precision dermatology: Advances, opportunities, and outlook.
Review in Journal of the American Academy of Dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Computational discovery of precision therapeutics for hidradenitis suppurativa.bioRxiv : the preprint server for biology · 2026Article
- Digital twins in dermatology: a new era of personalized skin care.Frontiers in digital health · 2025Article
- Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities.Journal of pathology informatics · 2024Review
- Integrating machine learning and artificial intelligence in life-course epidemiology: pathways to innovative public health solutions.BMC medicine · 2024Review
- An Automated Approach for Diagnosing Allergic Contact Dermatitis Using Deep Learning to Support Democratization of Patch Testing.Mayo Clinic proceedings. Digital health · 2024Article
- Conventional and three-dimensional photography as a tool to map distribution patterns of in-transit melanoma metastases on the lower extremity.Frontiers in medicine · 2023Article
- Predicting Mohs surgery complexity by applying machine learning to patient demographics and tumor characteristics.Experimental dermatology · 2022Article
- Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes.JID innovations : skin science from molecules to population health · 2022Review
- Frequency of Publication of Dermoscopic Images in Inter-observer Studies: A Systematic Review.Acta dermato-venereologica · 2021Article
- Dermatoscopy in Skin of Color: How Different are We?Indian dermatology online journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What Socratic 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 Socratic graph.