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Artificial Intelligence Applications in Dermatology: Where Do We Stand?
Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine and is increasingly being applied to dermatology. There is a need to understand this technology's progress to help guide and shape the future for medical care ...
Arieh Gomolin+2 more
exaly +2 more sources
Challenges of COVID‐19 pandemic for dermatology
Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is a new coronavirus responsible for the pandemic named coronavirus disease 2019 (COVID‐19). The disease causes SARS with a significant morbidity and mortality. We provide a review with a focus
Uwe Wollina
exaly +2 more sources
Disparities in dermatology AI performance on a diverse, curated clinical image set [PDF]
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
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
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
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
Racial disparities in dermatology
Significant racial/ethnic disparities in dermatologic care and their subsequent impact on dermatologic conditions were recently reported. Contributing factors include socioeconomic factors, gaps in educational exposure, and underrepresentation of ...
S. Narla+3 more
semanticscholar +1 more source
Background: The shortfall of dermatology curricula during medical school greatly impacts the knowledge about common skin diseases and clinical skills. The lack of exposure to dermatology hampers the decision for students to consider pursuing dermatology ...
Asem M Shadid+6 more
doaj +1 more source
Importance The use of artificial intelligence (AI) is accelerating in all aspects of medicine and has the potential to transform clinical care and dermatology workflows.
R. Daneshjou+18 more
semanticscholar +1 more source
High-frequency ultrasound in clinical dermatology: a review
Background Ultrasound was first introduced in clinical dermatology in 1979. Since that time, ultrasound technology has continued to develop along with its popularity and utility.
Jack Levy+5 more
semanticscholar +1 more source