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Related Experiment Video

Updated: Aug 16, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Artificial intelligence in Dermatopathology.

Shishira R Jartarkar1, Clay J Cockerell2, Anant Patil3

  • 1Department of Dermatology, Vydehi Institute of Medical Sciences and Research Centre University-RGUHS, Bengaluru, India.

Journal of Cosmetic Dermatology
|December 22, 2022
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Summary

Artificial intelligence (AI) aids dermatopathology diagnosis, leveraging digital microscopy and deep learning. Expert guidance is crucial for AI

Keywords:
Dermatopathologyartificial intelligencetechnology

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Area of Science:

  • Digital pathology and medical imaging analysis.
  • Application of artificial intelligence in healthcare.

Background:

  • Digital microscopy is transforming pathology into a digitally-oriented specialty.
  • Artificial intelligence (AI) offers significant potential to assist in dermatopathology diagnoses.

Purpose of the Study:

  • To review the current applications of AI in dermatopathology.
  • To discuss patient and clinician attitudes towards AI in this field.
  • To explore the challenges, limitations, and future opportunities for AI in dermatopathology.

Main Methods:

  • A comprehensive literature search was conducted using PubMed and Google Scholar.
  • Only English-language articles were included in the review.

Main Results:

  • Convolutional neural networks (CNNs), a type of deep neural network, excel in image recognition, processing, classification, and segmentation.
  • AI implementation in tumor pathology aids in diagnosis, grading, staging, prognostic prediction, and identifying pathological features.

Conclusions:

  • AI holds promise for enhancing dermatopathology diagnostics.
  • The effective integration of AI requires dermatopathologist expertise and guidance.
  • Addressing challenges and limitations is key to future AI implementation in dermatopathology.