Artificial intelligence (AI) utilizes computer algorithms to carry out tasks with human‐like intelligence. Convolutional neural networks, a type of deep learning AI, can classify basal cell carcinoma, seborrheic keratosis, and conventional nevi, highlighting the potential for deep learning algorithms to improve diagnostic workflow in dermatopathology of highly routine diagnoses. Additionally, convolutional neural networks can support the diagnosis of melanoma and may help predict disease outcomes. Capabilities of machine learning in dermatopathology can extend beyond clinical diagnosis to education and research. Intelligent tutoring systems can teach visual diagnoses in inflammatory dermatoses, with measurable cognitive effects on learners. Natural language interfaces can instruct dermatopathology trainees to produce diagnostic reports that capture relevant detail for diagnosis in compliance with guidelines. Furthermore, deep learning can power computation‐ and population‐based research. However, there are many limitations of deep learning that need to be addressed before broad incorporation into clinical practice. The current potential of AI in dermatopathology is to supplement diagnosis, and dermatopathologist guidance is essential for the development of useful deep learning algorithms. Herein, the recent progress of AI in dermatopathology is reviewed with emphasis on how deep learning can influence diagnosis, education, and research.
Molluscum contagiosum (MC) is a common cutaneous viral infection with no standard treatment. The virus responsible for MC is thought to be cleared by cell mediated immunity (CMI). Intralesional immunotherapy that stimulates CMI has been shown to be an effective treatment for other cutaneous viruses. In this review, we evaluate the efficacy and safety of intralesional immunotherapy in the treatment of MC. Articles met inclusion criteria if they examined the effects of intralesional immunotherapy as a treatment for MC, with a clear outcome and reproducible methodology. 228 studies were screened and 10 studies met criteria for inclusion. Intralesional immunotherapies investigated included candida, combined measles, mumps, rubella vaccine, tuberculin purified protein derivative, vitamin D3, inter
Erythema ab igne (EAI) is an asymptomatic dermatosis that develops in response to chronic exposure to low-grade heat. Characteristic findings on histopathology include epidermal atrophy, dermal elastosis, atypical histiocytes, and melanin and hemosiderin deposition. Reactive endothelial changes and prominent vascular proliferation are variable. Keratosis lichenoides chronica (KLC) is a rare lichenoid hyperkeratotic dermatosis. Acanthosis with parakeratosis and a lichenoid interface dermatitis with lymphocytes, histiocytes, and plasma cells are characteristic findings of KLC. Although its etiology remains unclear, KLC has been reported to occur in response to heat. Herein, we report a case of EAI with features resembling KLC.
I gather that this paper was given its somewhat pretentious title in an endeavour to emphasize the practical approach which it was hoped I should bring to this subject this evening. How far I shall be able to live up to this hope I hesitate to say. I realize that the arrangement of information in your libraries presents a very practical problem and that it is very much of a practical issue with you what form of arrangement you shall choose for your catalogues and materials. Some of you, I believe, have not solved the problem at all and others of you are dis‐satisfied with the solution which you have found. Only a very few enviable geniuses have found the complete solution to their own particular problems.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.