Over the last ten years, the field of dermatology has experienced significant advancements
through the utilization of artificial intelligence (AI) technologies. The adoption of such …

Dermatological conditions are a global health concern affecting all age groups. They
encompass various skin issues such as rashes, moles, acne, blisters, hives, nodules, cysts …

Large language models (LLMs) are seen to have tremendous potential in advancing
medical diagnosis recently, particularly in dermatological diagnosis, which is a very …

Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in
trauma patients, which is also the key component for trauma survey. None of the currently …

Skin and subcutaneous diseases rank high among the leading contributors to the global
burden of nonfatal diseases, impacting a considerable portion of the population …

While dermatologists typically recommend resources from verified, reliable organizations,
patients are known to widely browse the internet and social media for dermatology …

Reflectance confocal microscopy (RCM) is a non-invasive imaging method designed to
identify various skin diseases. Confocal based diagnosis may be subjective due to the …

Artificial intelligence (AI), including deep learning methods that leverage neural network-
based algorithms, hold significant promise for dermatopathology and other areas of …

Abstract Conceptual Introduction To introduce the concept of cybernetical intelligence, deep
learning, development history, international research, algorithms, and the application of …

The worldwide explosion of interest in artificial intelligence (AI) has created a before-and-
after moment in our lives by generating great improvements in such sectors as the …