Latest AI and machine learning research in dermatology for healthcare professionals.
Advancements in machine learning (ML) are making artificial intelligence more feasible in dermatolog...
Early and accurate melanoma detection is crucial for improving patient outcomes. Recent advancemen...
Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze large imag...
Expression of human epidermal growth factor receptor 2 (HER2) is an important biomarker in breast ...
Purpose To guide the attention of a deep learning (DL) model toward MRI characteristics of brain les...
Purpose To evaluate the performance of an artificial intelligence (AI) model in detecting overall an...
BACKGROUND: Artificial intelligence chatbots (AIC) have sharply risen in popularity. Dermatology, he...
Age-related macular degeneration (AMD) is a major cause of blindness in older adults, severely aff...
Introduction: Deep learning models hold great promise for digital pathology, but their opaque deci...
We propose a lesion-aware graph neural network (LEGNet) to predict language ability from resting-s...
OBJECTIVES: To develop and validate machine learning models for human epidermal growth factor recept...
BACKGROUND: Skin cancer is one of the highly occurring diseases in human life. Early detection and t...
BACKGROUND: In Australia, artificial intelligence (AI) is increasingly being used in the field of me...
OBJECTIVE: This study explores the application of Line-field Confocal Optical Coherence Tomography (...
MySkinSelfie is a mobile phone application for skin self-monitoring, enabling secure sharing of pati...
Dentists, especially those who are not oral lesion specialists and live in rural areas, need an arti...
To develop machine learning models based on preoperative dynamic enhanced magnetic resonance imaging...
PURPOSE: Identifying cancer symptoms in electronic health record (EHR) narratives is feasible with n...
Accurate segmentation of chronic stroke lesions from mono-spectral magnetic resonance imaging scans ...
We investigate the potential of self-supervision in improving the accuracy of deep learning models...
The integration of artificial intelligence (AI) in healthcare, particularly in the field of dermatol...