Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 6, 2025FARMAKOEKONOMIKA Modern Pharmacoeconomics and PharmacoepidemiologyOpen Access

Effectiveness of preliminary differential diagnosis of benign and malignant skin neoplasms using the Derma Onko Check artificial intelligence program

View Full Paper
Ask AI
Bookmark
Share

Authors

ALA. I. LamotkinDKD. I. KorabelnikovOOOlga Yu. Olisova

Discussion

Loading...

Member takes

Overview

Trial reveals 96% diagnostic accuracy for benign and malignant skin tumors using AI, suggesting enhanced early detection in primary care settings.

Key Points

  • The Derma Onko Check program achieved 96% diagnostic accuracy for identifying benign and malignant skin neoplasms.
  • Sensitivity and specificity were reported at 98% and 96%, respectively, indicating high reliability.
  • The program was tested on 135 patients with visually suspicious skin lesions, making it relevant for diverse populations.
  • Using AI in initial patient examinations could address gaps caused by a shortage of dermatologists and oncologists.

Cite This Study

Lamotkin et al. (2025) studied this question.

synapsesocial.com/papers/6895220c9f4f1c896c429538https://doi.org/10.17749/2070-4909/farmakoekonomika.2025.294
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Differential diagnostics of benign and malignant melanocytic skin tumors with the use of the artificial intelligence program «Derma onko melanoma check»2026
  2. 2Cross-sectional Analysis of the Efficacy of an Artificial Intelligence Application in Dermatological Diagnosis (Preprint)2024 · 17 citations
  3. 3Real-world diagnostic performance of artificial intelligence in skin cancer screening2026
  4. 4Artificial Intelligence as a Tool for Population Screening of Skin Tumors2024
  5. 5How good are artificial intelligence tools at identifying benign skin lesions? A systematic review and meta-analysis of the specificity of artificial intelligence tools in diagnosing suspicious skin lesions2026 · 1 citations