Current Trends and Future Directions of Digital Pathology and Artificial Intelligence in Dermatopathology: A Scientometric-Based Review.

Current Trends and Future Directions of Digital Pathology and Artificial Intelligence in Dermatopathology: A Scientometric-Based Review.

Publication date: Aug 29, 2025

Background: Digital Pathology (DP) and Artificial Intelligence (AI) have strongly developed in recent years, especially in pathology, with a high interest in dermatopathology. Accelerated by the COVID-19 pandemic, DP and AI are now integrated in pathology, research and education, bringing value to histopathological diagnoses, telepathology and personalized medicine. This narrative review presents a comprehensive literature review by defining three research directions, using scientometric analysis, of the current state of DP and AI in pathology and dermatopathology. Methods: The research was conducted through the Pubmed and Web of Science databases, within the research period of January 2019-July 2025: a two-phase methodology. Four independent pathologists selected the articles in accordance with the inclusion and exclusion criteria, and the synthesis of the articles was based on three research directions. Results: The research shows that CNN (Convolutional Neural Network), AI powered diagnostic platforms and telepathology strongly contribute to increasing the speed and accuracy of diagnostics, especially on cutaneous malignant skin tumors. There are still several challenges and limitations in terms of validation, interoperability, initial high implementation costs, ethics and transparency in AI and equity in healthcare. Conclusions: DP and AI are essential pillars of modern dermatopathology, with a high necessity of standardization, regulation and a multidisciplinary approach.

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Concepts Keywords
Cnn artificial intelligence
Dermatopathology dermatopathology
Interoperability digital pathology
July scientometrics
telepathology
whole slide imaging

Semantics

Type Source Name
disease MESH COVID-19 pandemic
disease MESH tumors
disease MESH Infectious Diseases
disease MESH melanoma
pathway KEGG Melanoma
disease IDO process
drug DRUGBANK Methionine
disease MESH carcinoma
disease MESH dysplastic nevi
disease MESH melanocytic nevi
disease MESH squamous carcinoma
disease MESH nevi
disease MESH confusion
disease MESH seborrheic keratosis
disease MESH breast carcinoma
disease IDO algorithm
disease MESH lymphomas
disease MESH Metastasis
drug DRUGBANK Coenzyme M
disease IDO production
disease IDO healthcare facility
disease MESH Prostate Cancer
pathway KEGG Prostate cancer
drug DRUGBANK Bismuth subgallate
disease MESH Skin Cancer
drug DRUGBANK (S)-Des-Me-Ampa
disease MESH Onychomycosis
disease MESH Dermatitis
disease MESH Kaposi Sarcoma
disease IDO site
disease MESH Lymph Node Metastases
disease MESH Skin Abnormalities
drug DRUGBANK Guanosine
disease MESH Privacy
drug DRUGBANK Spinosad
disease MESH Bulla
disease MESH Eosinophilic Esophagitis

Original Article

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