AIMC Topic: Dermatology
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Unsupervised SoftOtsuNet Augmentation for Clinical Dermatology Image Classifiers.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Data Augmentation is a crucial tool in the Machine Learning (ML) toolbox because it can extract novel, useful training images from an existing dataset, thereby improving accuracy and reducing overfitting in a Deep Neural Network (DNNs). However, clin...
How to cope with potential malfeasance using artificial intelligence: Call to action.
Clinics in dermatology
Jan 9, 2024
Just as fire and electricity can be, and in many ways are, of great benefit to humanity, and as the contributions elsewhere in this issue of Clinics in Dermatology have shown, artificial intelligence (AI) can be used for the ill and help in medicine....
A History of Artificial Intelligence.
Clinics in dermatology
Jan 5, 2024
The development of the computer and what is now known as artificial intelligence (AI) has evolved over more than two centuries in a long series of steps. The date of the invention of the first computer is estimated at 1822, when Charles Babbage (1791...
Challenges of artificial intelligence in medicine and dermatology.
Clinics in dermatology
Jan 4, 2024
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality. Bias in AI algorithms can arise from biased training data or decision-making processes, leading to ...
Revolutionizing diagnostic pathology: The emergence and impact of artificial intelligence-what doesn't kill you makes you stronger?
Clinics in dermatology
Jan 4, 2024
This study explored the integration and impact of artificial intelligence (AI) in diagnostic pathology, particularly dermatopathology, assessing its challenges and potential solutions for global health care enhancement. A comprehensive literature sea...
Dermatology and artificial intelligence.
Clinics in dermatology
Jan 4, 2024
Artificial Intelligence (AI) is a very powerful new tool that is destined to markedly advance many areas of dermatology, including cosmetic dermatology, oculoplastics, cancer detection and treatment, dermatopathlogy, and identification of pathogens. ...
Artificial intelligence in cosmetic dermatology: An update on current trends.
Clinics in dermatology
Jan 4, 2024
The use of artificial intelligence (AI) will soon be commonplace within the field of cosmetic dermatology. Current uses for AI in the discipline have focused on empowering patients to be more involved in treatment decisions with customizable skin car...
OpenAI's GPT-4 performs to a high degree on board-style dermatology questions.
International journal of dermatology
Dec 22, 2023
BACKGROUND: Artificial intelligence tools such as OpenAI's GPT-4 have shown promise in medical education, but their potential in dermatology remains unexplored.
ChatGPT: performance of artificial intelligence in the dermatology specialty certificate examination.
Anais brasileiros de dermatologia
Nov 18, 2023
Artificial intelligence-assisted dermatology diagnosis: From unimodal to multimodal.
Computers in biology and medicine
Sep 1, 2023
Artificial Intelligence (AI) is progressively permeating medicine, notably in the realm of assisted diagnosis. However, the traditional unimodal AI models, reliant on large volumes of accurately labeled data and single data type usage, prove insuffic...
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