Latest AI and machine learning research in dermatology for healthcare professionals.
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. Along with these are some special new risks and concerns, however, including ethical considerations, data analysis, interpretation of scientific studi...
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 search in PubMed and Google Scholar, conducted on March 30, 2023, and using terms related to AI, pathology, and machine learning, yielded 44 relevant pub...
Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bias, transparency, ethics, security, and inequality....
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if detected early. For this reason, various systems of skin lesion i...
BACKGROUND: To establish a predictive model based on multisequence magnetic resonance imaging (MRI) using deep learning to identify wild-type (WT) epi...
The advancement in cancer research using high throughput technology and artificial intelligence (AI) is gaining momentum to improve disease diagnosis ...
Mannosylerythritol-lipids-B (MEL-B) are microbial-produced glycolipids with skincare properties, notably moisturizing, antimelanogenic, antimicrobial,...
BACKGROUND: Deep-learning convolutional neural networks (CNNs) have outperformed even experienced dermatologists in dermoscopic melanoma detection und...
Machine Learning (ML) techniques provide the ability to effectively evaluate and analyze human skin and hair assessments. The aim of this study is to ...
L. is one the most recognized species with diverse biological activities. In this study, in vitro activity and in vivo efficacy of essential oil from...
AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contrast-associated acute kidney injury (CI-AKI) in pati...
The inferences of most machine-learning models powering medical artificial intelligence are difficult to interpret. Here we report a general framework...
Fiber-optic biosensors have garnered significant attention and witnessed rapid development in recent years owing to their remarkable attributes such a...
Over the past few decades, skin cancer has emerged as a major global health concern. The efficacy of skin cancer treatment greatly depends upon early ...
Background and objective The risk of malignant melanoma (MM) and other forms of skin cancer appears to be higher in airline pilots (APs), potentially ...
BACKGROUND: Artificial intelligence tools such as OpenAI's GPT-4 have shown promise in medical education, but their potential in dermatology remains u...
This paper evaluates the role and effectiveness of different types of haptic feedback in presenting relevant feedback information during needle insert...
The polymorphism of cutaneous leishmaniasis (CL) complicates diagnosis in health care services because lesions may be confused with other dermatoses s...
Atopic dermatitis is a prevalent and persistent chronic inflammatory skin disorder that poses significant challenges when it comes to accurately asses...