Results 81 to 90 of about 22,870 (235)
Summary Background and objectives Artificial intelligence was shown to improve diagnostic accuracy for skin cancer detection. While most clinically approved models provide binary “benign/malignant” classifications, multiclass predictions may offer greater clinical utility.
Katharina Susanne Kommoss +11 more
wiley +1 more source
Nevus unius lateris, a propósito de un caso
Los nevus epidérmicos son hamartomas que se originan en el ectodermo embrionario, a partir de células pluripotenciales de la capa basal de la epidermis, las cuales, durante el desarrollo normal de la piel, dan origen a los queratocitos, glándulas ...
Claudia Marcela Gaviria +2 more
doaj
Age‐related dermatoscopic features of excised melanomas versus nevi in 832 high risk patients
Summary Background and objectives Melanocytic nevi show distinct age‐related dermoscopic patterns. However, data on age‐related patterns of melanomas are lacking. This study aimed to identify age‐related static and dynamic dermoscopic patterns of melanomas. Patients and methods Explorative cross‐sectional cohort study between October 1996 and May 2012,
Jana Burghaus‐Zhang +6 more
wiley +1 more source
AI‐assisted diagnosis of nail unit melanoma and melanonychia using a clinical deep learning model
Summary Background and objectives Nail unit melanoma (NUM) is a rare but potentially fatal malignancy often misdiagnosed as melanonychia. Because biopsy may cause permanent nail dystrophy, accurate noninvasive diagnosis is essential. This study aimed to develop and validate an artificial intelligence model to distinguish NUM from benign melanonychia ...
Yusung Chu +6 more
wiley +1 more source
Retro mode imaging signatures in choroidal nevus: A case series
To report the retro mode (RM) imaging signatures of choroidal nevus. This was a consecutive case series of individuals with choroidal nevus, a benign choroidal tumor.
Parveen Sen +2 more
doaj +1 more source
Summary Background: Convolutional neural networks (CNN) for skin cancer classification have shown results comparable to dermatologists but are vulnerable to minor image transformations. We investigated the robustness of a MDR class‐IIa certified CNN when classifying sequential images of identical lesions.
Alicia Zimmermann +7 more
wiley +1 more source
Summary Background and Objectives For thick melanomas, retaining the primary lesion during neoadjuvant therapy may enhance immune response through increased antigen load. This study assessed whether a central section from serially processed melanoma specimen, representing a transectional incisional biopsy, accurately reflects Breslow thickness and ...
Katharina Pustelnik, Philipp Tschandl
wiley +1 more source
Summary Background and objectives Despite rising survival rates, emotional distress remains a major issue for melanoma patients. However, survivors and individuals at increased risk of melanoma are rarely included in distress assessments, leaving their specific needs poorly understood.
Alina M. Torrez +10 more
wiley +1 more source
Summary Melanomas are among the most frequent neoplasms in grey horses. Deep perirectal melanomas, however, are uncommon and challenging to excise due to their proximity to the peritoneal reflection. This report describes the successful standing removal of a large (16 × 8 × 6 cm) perirectal melanoma firmly adherent to the dorsal rectal wall in a 19 ...
R. Becker, C. Koch, M. de Preux
wiley +1 more source
Over 8 h, using a Hyaluronic Acid Serum in combination with a Moisturizing Cream sustained skin hydration more than either product alone, while lowering TEWL and normalizing surface lipids. Volunteers also reported a more immediate and long‐lasting moisturization with the combined regimen. Created in BioRender. Maldonado Lopez, A.
Alexandra M. Maldonado López +1 more
wiley +1 more source

