A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
[HTML][HTML] Artificial intelligence in skin cancer diagnosis: a reality check
G Brancaccio, A Balato, J Malvehy, S Puig… - Journal of Investigative …, 2024 - Elsevier
The field of skin cancer detection offers a compelling use case for the application of artificial
intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis …
intelligence (AI) within the realm of image-based diagnostic medicine. Through the analysis …
Disparities in dermatology AI performance on a diverse, curated clinical image set
An estimated 3 billion people lack access to dermatological care globally. Artificial
intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However …
intelligence (AI) may aid in triaging skin diseases and identifying malignancies. However …
Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)
The use of artificial intelligence (AI) has the potential to improve the assessment of lesions
suspicious of melanoma, but few clinical studies have been conducted. We validated the …
suspicious of melanoma, but few clinical studies have been conducted. We validated the …
Systematic review of deep learning image analyses for the diagnosis and monitoring of skin disease
SP Choy, BJ Kim, A Paolino, WR Tan, SML Lim… - NPJ Digital …, 2023 - nature.com
Skin diseases affect one-third of the global population, posing a major healthcare burden.
Deep learning may optimise healthcare workflows through processing skin images via …
Deep learning may optimise healthcare workflows through processing skin images via …
Towards transparency in dermatology image datasets with skin tone annotations by experts, crowds, and an algorithm
While artificial intelligence (AI) holds promise for supporting healthcare providers and
improving the accuracy of medical diagnoses, a lack of transparency in the composition of …
improving the accuracy of medical diagnoses, a lack of transparency in the composition of …
Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care
Dermatological conditions are a relevant health problem. Machine learning (ML) models are
increasingly being applied to dermatology as a diagnostic decision support tool using image …
increasingly being applied to dermatology as a diagnostic decision support tool using image …
[HTML][HTML] Guidelines, consensus statements, and standards for the use of artificial intelligence in medicine: systematic review
Y Wang, N Li, L Chen, M Wu, S Meng, Z Dai… - Journal of Medical …, 2023 - jmir.org
Background The application of artificial intelligence (AI) in the delivery of health care is a
promising area, and guidelines, consensus statements, and standards on AI regarding …
promising area, and guidelines, consensus statements, and standards on AI regarding …
[HTML][HTML] Pitfalls in develo** machine learning models for predicting cardiovascular diseases: challenge and solutions
YQ Cai, DX Gong, LY Tang, Y Cai, HJ Li… - Journal of Medical …, 2024 - jmir.org
In recent years, there has been explosive development in artificial intelligence (AI), which
has been widely applied in the health care field. As a typical AI technology, machine …
has been widely applied in the health care field. As a typical AI technology, machine …
[HTML][HTML] Diagnostics using non-invasive technologies in dermatological oncology
Simple Summary Skin tumors are appearing with increasing frequency worldwide. To face
this health problem, new technologies and devices have been developed in recent years …
this health problem, new technologies and devices have been developed in recent years …