Latest AI and machine learning research in dermatology for healthcare professionals.
Drug-induced cardiotoxicity and hepatotoxicity are major causes of drug attrition. To decrease late-...
Touch sensing has a central role in robotic grasping and emerging human-machine interfaces for robot...
The detection of the cancer biomarker human epidermal growth factor receptor 2 (HER-2) has always be...
Comparative outcome studies investigating internal Double-J (DJ) and externalized stents have prima...
AIM: Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical ...
The level of human epidermal growth factor receptor-2 (HER2) protein and gene expression in breast c...
Dermatological problems are the most widely spread skin diseases amongst human beings. They can be i...
Basal cell carcinoma (BCC) is the most common skin cancer, with over 2 million cases diagnosed annua...
BACKGROUND: The number of naevi on a person is the strongest risk factor for melanoma; however, naev...
The u-serrated immunodeposition pattern in direct immunofluorescence (DIF) microscopy is a recogniza...
Inducible T-cell costimulator (ICOS), a homodimeric protein expressed on the surface of activated T-...
In low-level laser therapy, providing an optimal dosage and proposing a proper diagnosis before derm...
To assist patients with restricted mobility to control wheelchair freely, this paper presents an eye...
Recent advances in bioinspired nano/microstructures have received attention as promising approaches ...
Chest computed tomography (CT) image data is necessary for early diagnosis, treatment, and prognosis...
Deep learning has emerged as the technique of choice for identifying hidden patterns in cell imaging...
Accurate segmentation and partitioning of lesions in PET images provide computer-aided procedures an...
Stroke is an acute cerebral vascular disease that is likely to cause long-term disabilities and deat...
Owing to the high incidence rate and the severe impact of skin cancer, the precise diagnosis of mali...
BACKGROUND AND OBJECTIVES: Convolutional neural networks (CNN) have proven dermatologist-level perfo...
To develop a machine learning (ML) model that predicts disease groups or autoantibodies in patients ...