The field of dermatology is experiencing the rapid deployment of artificial intelligence (AI),
from mobile applications for skin cancer detection to large language models like ChatGPT …

Recent advancements in deep learning (DL) have propelled the virtual transformation of
microscopy images across optical modalities, enabling unprecedented multimodal imaging …

Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense
promise. Nevertheless, significant challenges must be addressed to avoid harm, promote …

Accurate differentiation between bacterial and viral-induced pharyngitis is recognized as
essential for personalized treatment and judicious antibiotic use. From a cohort of 693 …

Objectives As current health technology assessment (HTA) frameworks do not provide
specific guidance on the assessment of medical artificial intelligence (AI), this study aimed to …

Background Skin cancer is the most common cancer worldwide. Early diagnosis is crucial
for improving patient survival and morbidity. Artificial intelligence (AI)-assisted smartphone …

The recent Covid-19 pandemic has shown that transportation has a significant role in
creating a healthy society. Human mobility can be tracked and traced to map the spread of …

Las funciones y herramientas del dermatólogo se han incrementado en los últimos años;
algunos ejemplos son la dermatología estética, la inteligencia artificial, la teledermatología y …

Machine learning has the potential to transform how healthcare is delivered. It can support
clinical decision making, determine the risk, presence and prognosis of disease and help …

Both the functions and equipment of dermatologists have increased over the past few years,
some examples being cosmetic dermatology, artificial intelligence, tele-dermatology, and …