Artificial intelligence for skin cancer detection and classification for clinical environment: a systematic review
Background Skin cancer is one of the most common forms worldwide, with a significant
increase in incidence over the last few decades. Early and accurate detection of this type of …
increase in incidence over the last few decades. Early and accurate detection of this type of …
Accuracy of an artificial intelligence as a medical device as part of a UK-based skin cancer teledermatology service
H Marsden, P Kemos, M Venzi, M Noy… - Frontiers in …, 2024 - frontiersin.org
Introduction An artificial intelligence as a medical device (AIaMD), built on convolutional
neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it …
neural networks, has demonstrated high sensitivity for melanoma. To be of clinical value, it …
Performance of Commercial Dermatoscopic Systems That Incorporate Artificial Intelligence for the Identification of Melanoma in General Practice: A Systematic Review
I Miller, N Rosic, M Stapelberg, J Hudson, P Coxon… - Cancers, 2024 - mdpi.com
Simple Summary Early detection of malignant melanoma (MM) has the potential to
significantly reduce morbidity and mortality as the thickness of the lesion is closely …
significantly reduce morbidity and mortality as the thickness of the lesion is closely …
Effectiveness of an image analyzing AI-based Digital Health Technology to identify Non-Melanoma Skin Cancer and other skin lesions: Results of the DERM-003 …
H Marsden, C Morgan, S Austin, C DeGiovanni… - Frontiers in …, 2023 - frontiersin.org
Introduction Identification of skin cancer by an Artificial Intelligence (AI)-based Digital Health
Technology could help improve the triage and management of suspicious skin lesions …
Technology could help improve the triage and management of suspicious skin lesions …
Patient perspectives of artificial intelligence as a medical device in a skin cancer pathway
The use of artificial intelligence as a medical device (AIaMD) in healthcare systems is
increasing rapidly. In dermatology, this has been accelerated in response to increasing skin …
increasing rapidly. In dermatology, this has been accelerated in response to increasing skin …
Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection
S Islam, GC Wishart, J Walls, P Hall… - Scientific Reports, 2024 - nature.com
Melanoma of the skin is the 17th most common cancer worldwide. Early detection of
suspicious skin lesions (melanoma) can increase 5-year survival rates by 20%. The 7-point …
suspicious skin lesions (melanoma) can increase 5-year survival rates by 20%. The 7-point …
Artificial intelligence and skin melanoma
NJ Levell, L Thomas - Clinics in Dermatology, 2024 - Elsevier
Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas
and usually treated with surgical removal. As benign cutaneous pigmented lesions are very …
and usually treated with surgical removal. As benign cutaneous pigmented lesions are very …
[HTML][HTML] Dermatological Knowledge and Image Analysis Performance of Large Language Models Based on Specialty Certificate Examination in Dermatology
KS Fan, KH Fan - Dermato, 2024 - mdpi.com
Large language models (LLMs) are trained using large datasets and may be applied to
language-based tasks. Studies have demonstrated their ability to perform and pass …
language-based tasks. Studies have demonstrated their ability to perform and pass …
Artificial Intelligence Applications for Imaging Metabolic Bone Diseases
Artificial intelligence (AI) has significantly impacted the field of medical imaging, particularly
in diagnosing and managing metabolic bone diseases (MBDs) such as osteoporosis and …
in diagnosing and managing metabolic bone diseases (MBDs) such as osteoporosis and …