A research team has developed a diagnostic system that uses artificial intelligence (AI) to accurately identify the type of ...

Typically skin lesions happen on the legs or face. ... or chemotherapy, are used to treat the metastatic tumors. Malignant melanoma causes more than 75% of deaths from skin cancer.

While artificial intelligence (AI) holds promise to improve the diagnosis of melanoma, researchers of a new review outlined ...

We performed a retrospective analysis on data from the Registration Network Groningen (RNG). This network was established in 1989 and consists of patient registrations of three general practices ...

Skin biopsy followed by histopathologic examination remains the gold standard in diagnosing melanoma. 14 Current guidelines recommend full-thickness excisional biopsy of lesions clinically ...

A research team led by Haruyo Yamamoto, Chisa Nakashima, and Atsushi Otsuka from Department of Dermatology, Kindai University Faculty of Medicine, in collaboration with the Faculty of Engineering at ...

Soligenix, Inc. (Nasdaq: SNGX) (Soligenix or the Company), a late-stage biopharmaceutical company focused on developing and ...

A deep learning model could accurately distinguish keloids from both benign and malignant skin lesions using nondermatoscopic clinical images, according to a study published in Diagnostics. 1. The ...

DermaSensor’s AI algorithm was developed and trained on more than 20,000 scans of around 4,000 benign and malignant skin lesions like melanoma, basal cell carcinoma, and squamous cell carcinoma ...

Melanoma test offers a precise look at a patient’s unique tumor biology, and enables patients and their care providers to ...

STOCKHOLM, Jan. 28, 2025 /PRNewswire/ -- SciBase Holding AB ("SciBase") (STO: SCIB), a leading developer of augmented intelligence-based solutions for skin disorders announced today that a new ...

This study examined demand for care in general practice due to suspected malignant skin lesions, with the aim of identifying areas for training and revealing possibilities for substitution of care.