AIMC Topic: Skin Neoplasms

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Combining artificial intelligence and human expertise for more accurate dermoscopic melanoma diagnosis: A 2-session retrospective reader study.

Journal of the American Academy of Dermatology Feb 29, 2024
Skin Neoplasms Dermoscopy Clinical Competence Artificial Intelligence Retrospective Studies Melanoma Humans
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Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study.

Journal of the European Academy of Dermatology and Venereology : JEADV Feb 27, 2024
BACKGROUND: Artificial intelligence (AI) shows promising potential to enhance human decision-making as synergistic augmented intelligence (AuI), but requires critical evaluation for skin cancer screening in a real-world setting.
Middle Aged Attitude of Health Personnel Cohort Studies Aged Adult Male Early Detection of Cancer Dermatologists Photography Humans Artificial Intelligence Prospective Studies Female Melanoma Skin Neoplasms
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LAMA: Lesion-Aware Mixup Augmentation for Skin Lesion Segmentation.

Journal of imaging informatics in medicine Feb 26, 2024
Deep learning can exceed dermatologists' diagnostic accuracy in experimental image environments. However, inaccurate segmentation of images with multiple skin lesions can be seen with current methods. Thus, information present in multiple-lesion imag...
Humans Neural Networks, Computer Algorithms Skin Diseases Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Skin Databases, Factual Skin Neoplasms Dermoscopy
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Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.

Melanoma research Feb 16, 2024
Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles between different tumor cells and immune cells within a tumor. ITH was involved in the cancer progression, aggressiveness, therapy resistance and cancer rec...
Immunotherapy Melanoma, Cutaneous Malignant Humans Melanoma Skin Neoplasms Machine Learning Male Prognosis Female
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Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features.

Journal of imaging informatics in medicine Feb 8, 2024
In recent years, deep learning (DL) has been used extensively and successfully to diagnose different cancers in dermoscopic images. However, most approaches lack clinical inputs supported by dermatologists that could aid in higher accuracy and explai...
Humans Sensitivity and Specificity Deep Learning Image Interpretation, Computer-Assisted Telangiectasis Skin Neoplasms Carcinoma, Basal Cell Dermoscopy
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Fusion between an Algorithm Based on the Characterization of Melanocytic Lesions' Asymmetry with an Ensemble of Convolutional Neural Networks for Melanoma Detection.

The Journal of investigative dermatology Jan 29, 2024
Melanoma is still a major health problem worldwide. Early diagnosis is the first step toward reducing its mortality, but it remains a challenge even for experienced dermatologists. Although computer-aided systems have been developed to help diagnosis...
Humans Diagnosis, Differential Neural Networks, Computer Algorithms Nevus Sensitivity and Specificity Melanoma Nevus, Pigmented Diagnosis, Computer-Assisted Skin Neoplasms Early Detection of Cancer Dermoscopy
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Using multiple real-world dermoscopic photographs of one lesion improves melanoma classification via deep learning.

Journal of the American Academy of Dermatology Jan 8, 2024
Skin Neoplasms Dermoscopy Deep Learning Humans Algorithms Melanoma
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Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes.

Annals of clinical and laboratory science Jan 4, 2024
OBJECTIVE: Deep learning has been shown to be useful in detecting breast cancer metastases by analyzing whole slide images (WSI) of sentinel lymph nodes; however, it requires extensive analysis of all the lymph node slides. Our deep learning study at...
Humans Female Skin Neoplasms Melanoma Breast Neoplasms Deep Learning Sentinel Lymph Node
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Artificial intelligence in the detection of skin cancer: State of the art.

Clinics in dermatology Jan 3, 2024
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if detected early. For this reason, various systems of skin lesion image analysis, which support imaging diagnostics of this neoplasm, are developing very dynamically. ...
Algorithms Melanoma Skin Neoplasms Dermoscopy Smartphone Humans Artificial Intelligence
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Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence.

Journal of the European Academy of Dermatology and Venereology : JEADV Dec 29, 2023
BACKGROUND: Deep-learning convolutional neural networks (CNNs) have outperformed even experienced dermatologists in dermoscopic melanoma detection under controlled conditions. It remains unexplored how real-world dermoscopic image transformations aff...
Risk Assessment Deep Learning Dysplastic Nevus Syndrome Female Dermoscopy Adult Humans Melanoma Male Reproducibility of Results Neural Networks, Computer Skin Neoplasms Middle Aged Aged Prospective Studies
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