Latest AI and machine learning research in dermatology for healthcare professionals.
BACKGROUND: Skin cancer is the most common cancer worldwide. Early diagnosis is crucial to improving...
Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern path...
Ischaemic stroke, a leading cause of death and disability, critically relies on neuroimaging for c...
Atherosclerosis is a chronic inflammatory disease of the artery wall. The early stages of atherosc...
Discriminative classifiers have become a foundational tool in deep learning for medical imaging, e...
Deep Learning approaches in dermatological image classification have shown promising results, yet ...
Focal deficits in ischaemic stroke result from impaired perfusion downstream of a critical vascula...
The human epidermal growth factor receptor 2 (HER2) is a critical oncogene implicated in the develop...
Pre-biopsy magnetic resonance imaging (MRI) is increasingly used to target suspicious prostate les...
Purpose: We present a virtual model to optimize point of entry (POE) in lung biopsy planning syste...
Psoriasis is a chronic skin condition that requires long-term treatment and monitoring. Although, ...
Artificial intelligence has significantly advanced skin cancer diagnosis by enabling rapid and acc...
With over 2 million new cases identified annually, skin cancer is the most prevalent type of cance...
Medical research, driven by advancing technologies like artificial intelligence (AI), is transformin...
Significant differences in protein structures hinder the generalization of existing drug-target in...
Precise characterization of stroke lesions from MRI data has immense value in prognosticating clin...
Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis bei...
Racial bias in medicine, such as in dermatology, presents significant ethical and clinical challen...
Melanoma is characterized by its rapid progression and high mortality rates, making early and accura...
The development of vision-language models (VLMs) is driven by large-scale and diverse multimodal d...
As deep learning models gain attraction in medical data, ensuring transparent and trustworthy deci...