Artificial Intelligence in Dermatopathology

A special issue of Dermatopathology (ISSN 2296-3529). This special issue belongs to the section "Artificial Intelligence in Dermatopathology".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 6399

Special Issue Editors


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Guest Editor
Department of Dermatology, Loma Linda University, Loma Linda, CA 92354, USA
Interests: dermatopathology education

E-Mail Website
Guest Editor
Department of Dermatology, Loma Linda University, Loma Linda, CA 92354, USA
Interests: dermatopathology; dermatology; education; artificial intelligence

Special Issue Information

Dear Colleagues,

The field of dermatopathology has seen burgeoning interest in artificial intelligence (AI), as demonstrated by a five-fold spike in published articles pertaining to the topic since 2020 (PubMed). The COVID-19 era expedited the use of digitized microscopy. Moreover, the use of AI has recently been approved in the United States and Europe to help diagnose breast and prostate cancers. Although there remain several translational challenges to incorporating AI into everyday practice, the field is advancing. The use of AI has been shown to facilitate several aspects of dermatopathology, from diagnosis to education to research endeavors. We would like to use this Special Issue, which we expect to be diverse and enlightening, to highlight the use of artificial intelligence in dermatopathology.

Dr. Ashley N. Elsensohn
Dr. Marina Ibraheim
Guest Editors

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Keywords

  • artificial intelligence
  • dermatopathology
  • machine learning
  • machine algorithms
  • deep learning

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Published Papers (2 papers)

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Editorial

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2 pages, 196 KiB  
Editorial
Artificial Intelligence in Dermatopathology: An Analysis of Its Practical Application
by Marina Kristy Ibraheim, Rohit Gupta, Jerad M. Gardner and Ashley Elsensohn
Dermatopathology 2023, 10(1), 93-94; https://doi.org/10.3390/dermatopathology10010014 - 16 Feb 2023
Cited by 7 | Viewed by 3029
Abstract
In recent years, researchers have explored potential uses for artificial intelligence (AI) in medical practice [...] Full article
(This article belongs to the Special Issue Artificial Intelligence in Dermatopathology)

Review

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11 pages, 444 KiB  
Review
Skin and Syntax: Large Language Models in Dermatopathology
by Asghar Shah, Samer Wahood, Dorra Guermazi, Candice E. Brem and Elie Saliba
Dermatopathology 2024, 11(1), 101-111; https://doi.org/10.3390/dermatopathology11010009 - 14 Feb 2024
Cited by 3 | Viewed by 2451
Abstract
This literature review introduces the integration of Large Language Models (LLMs) in the field of dermatopathology, outlining their potential benefits, challenges, and prospects. It discusses the changing landscape of dermatopathology with the emergence of LLMs. The potential advantages of LLMs include a streamlined [...] Read more.
This literature review introduces the integration of Large Language Models (LLMs) in the field of dermatopathology, outlining their potential benefits, challenges, and prospects. It discusses the changing landscape of dermatopathology with the emergence of LLMs. The potential advantages of LLMs include a streamlined generation of pathology reports, the ability to learn and provide up-to-date information, and simplified patient education. Existing instances of LLMs encompass diagnostic support, research acceleration, and trainee education. Challenges involve biases, data privacy and quality, and establishing a balance between AI and dermatopathological expertise. Prospects include the integration of LLMs with other AI technologies to improve diagnostics and the improvement of multimodal LLMs that can handle both text and image input. Our implementation guidelines highlight the importance of model transparency and interpretability, data quality, and continuous oversight. The transformative potential of LLMs in dermatopathology is underscored, with an emphasis on a dynamic collaboration between artificial intelligence (AI) experts (technical specialists) and dermatopathologists (clinicians) for improved patient outcomes. Full article
(This article belongs to the Special Issue Artificial Intelligence in Dermatopathology)
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