MeSH tree: E05.595.185.250
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they often overlook crucial patient ...
Nov 14, 2025
0
0
Australia needs to be innovative when it comes to skin cancer detection by embracing a nurse-led model that could save thousands of lives in the long run, according to a new paper.
Oct 9, 2025
0
0
Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new AI-powered tool that analyzes multiple imaging types simultaneously, developed by an international team of researchers led ...
Jun 9, 2025
0
31
Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a new study shows.
Nov 14, 2024
0
1
There are three major kinds of skin cancer—squamous cell carcinoma, basal cell carcinoma and melanoma. Melanoma is the most dangerous. The first sign of melanoma is a change in an existing mole or a new, unusual-looking ...
Aug 28, 2024
0
0
An algorithm can help health care professionals recognize which patients have a highly aggressive form of basal cell carcinoma (BCC) of the face. If more BCCs are correctly identified as high-risk, the patients can directly ...
Jul 2, 2024
0
0
A mobile app that uses artificial intelligence, AI, to analyze images of suspected skin lesions can diagnose melanoma with very high precision. This is shown in a study led from Linköping University in Sweden where the app ...
Mar 20, 2024
0
0
A tiny spot on Christy Staats's cheek measured just 0.65 millimeters—or 0.025 inches—and was almost invisible to the human eye. But with help from state-of-the-art non-invasive technology, an OHSU dermatologist and a ...
May 1, 2023
0
4
A deep learning (DL) model based on dermatoscopic images can differentiate scalp psoriasis from seborrheic dermatitis, according to a study recently published in Frontiers in Medicine.
Feb 16, 2023
0
4
Assessing the thickness of melanoma is difficult, whether done by an experienced dermatologist or a well-trained machine-learning algorithm. A study from the University of Gothenburg shows that the algorithm and the dermatologists ...
Jul 20, 2022
0
5
