Artificial intelligence in Dermatopathology |
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| Authors: | Shishira R. Jartarkar MD Clay J. Cockerell MD Anant Patil MD Martin Kassir MD Mahsa Babaei MD Beate Weidenthaler-Barth MD Stephan Grabbe MD Mohamad Goldust MD |
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| Affiliation: | 1. Department of Dermatology, Vydehi Institute of Medical Sciences and Research Centre University-RGUHS, Bengaluru, India;2. Departments of Dermatology and Pathology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA;3. Department of Pharmacology, Dr. DY Patil Medical College, Navi Mumbai, India;4. Worldwide Laser Institute, Dallas, Texas, USA;5. School of Medicine, Stanford University, California, USA;6. Department of Dermatology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany;7. Department of Dermatology, University Medical Center Mainz, Mainz, Germany |
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| Abstract: | Introduction Ever evolving research in medical field has reached an exciting stage with advent of newer technologies. With the introduction of digital microscopy, pathology has transitioned to become more digitally oriented speciality. The potential of artificial intelligence (AI) in dermatopathology is to aid the diagnosis, and it requires dermatopathologists' guidance for efficient functioning of artificial intelligence. Method Comprehensive literature search was performed using electronic online databases “PubMed” and “Google Scholar.” Articles published in English language were considered for the review. Results Convolutional neural network, a type of deep neural network, is considered as an ideal tool in image recognition, processing, classification, and segmentation. Implementation of AI in tumor pathology is involved in the diagnosis, grading, staging, and prognostic prediction as well as in identification of genetic or pathological features. In this review, we attempt to discuss the use of AI in dermatopathology, the attitude of patients and clinicians, its challenges, limitation, and potential opportunities in future implementation. |
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| Keywords: | artificial intelligence Dermatopathology technology |
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