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A Review on the Safety of Using JAK Inhibitors in Dermatology: Clinical and Laboratory Monitoring
Dermatology and Therapy, 2023 Janus kinase (JAK) inhibitors are disease-modifying agents with efficacy in treating a spectrum of burdensome dermatologic conditions. The US Food and Drug Administration (FDA) recently placed a black box warning on this class of medications due to ...
Christeen Samuel +3 more
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Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations
Dermatology and Therapy, 2020 Machine learning (ML) has the potential to improve the dermatologist’s practice from diagnosis to personalized treatment. Recent advancements in access to large datasets (e.g., electronic medical records, image databases, omics), faster computing, and ...
Vidhatha Reddy +2 more
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Pharmaceutics, 2020 Hydrogels are playing an increasingly important role in medicine and pharmacy. Due to their favorable physicochemical properties, biocompatibility, and designed interaction with living surroundings, they seem to be one of the most promising groups of ...
Martyna Zagórska-Dziok, Marcin Sobczak
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Dermoscopy in General Dermatology: A Practical Overview
Dermatology and Therapy, 2016 Over the last few years, dermoscopy has been shown to be a useful tool in assisting the noninvasive diagnosis of various general dermatological disorders.
Enzo Errichetti, Giuseppe Stinco
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Disparities in dermatology AI performance on a diverse, curated clinical image set [PDF]
Science Advances, 2021 An estimated 3 billion people lack access to dermatological care globally. Artificial intelligence (AI) may aid in triaging skin diseases and identifying malignancies.
R. Daneshjou +16 more
semanticscholar +1 more source
JAK inhibitors in dermatology: The promise of a new drug class
Journal of the American Academy of Dermatology, 2017 William Damsky, Brett A King
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Clincal and Experimental Dermatology, 2023 BACKGROUND The global use of artificial intelligence has the potential to revolutionize the healthcare industry. Despite the fact that artificial intelligence is becoming more popular, there is still a lack of evidence on its use in dermatology ...
Miłosz Lewandowski +3 more
semanticscholar +1 more source
Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends
Journal of Clinical Medicine, 2022 Background: Thanks to the rapid development of computer-based systems and deep-learning-based algorithms, artificial intelligence (AI) has long been integrated into the healthcare field.
Zhouxiao Li +5 more
semanticscholar +1 more source
Artificial Intelligence in Dermatology: Challenges and Perspectives
Dermatologic Therapy, 2022 Artificial intelligence (AI) based on machine learning and convolutional neuron networks (CNN) is rapidly becoming a realistic prospect in dermatology.
K. Liopyris +3 more
semanticscholar +1 more source
Journal of the European Academy of Dermatology and Venereology, 2018 Manuel P Pereira +31 more
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