Latest AI and machine learning research in dermatology for healthcare professionals.
Conventional stretchable electronics that adopt a wavy design, a neutral mechanical plane, and confo...
Integrating tactile feedback for lump localization in Robot-assisted Minimally Invasive Surgery (RMI...
The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a wide sp...
Content-Based Dermatological Lesion Retrieval (CBDLR) systems retrieve similar skin lesion images, w...
Computer-aided skin cancer classification systems built with deep neural networks usually yield pred...
Melanoma, one of the most dangerous types of skin cancer, results in a very high mortality rate. Ear...
Gadolinium-enhancing lesions reflect active disease and are critical for in-patient monitoring in mu...
A 70-year-old man with severe interstitial pneumonia attributed to limited cutaneous systemic sclero...
It is of interest to report the chemotherapeutic (drug target based) potential of n-hexane Cayratia ...
This study presents the first application of convolutional neural networks to high-frequency ultraso...
Melanoma skin cancer is the most life-threatening and fatal disease among the family of skin cancer ...
Early identification of epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncoge...
BACKGROUND: Deep-learning algorithms (DLAs) have been used in artificial intelligence aided ultrason...
High-dimensional modelling of post-stroke deficits from structural brain imaging is highly relevant ...
Soft and stretchable sensors are essential to the development of electronic skin, especially their p...
Alopecia areata is defined as an autoimmune disorder that results in hair loss. The latest worldwide...
A 69-year-old man was referred to the hepatobiliary surgeons for mild enlargement of an asymptomatic...
Every year cervical cancer affects more than 300,000 people, and on average one woman is diagnosed w...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...
The performance characteristics of deep learning fully convolutional neural network (DLFCNN) algorit...
The worldwide explosion of interest in artificial intelligence (AI) has created a before-and-after m...