AIMC Topic: Skin Neoplasms

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Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Journal of robotic surgery Aug 9, 2025
Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achieving histologically negative margins is paramount to minimizing recurrence. Mohs micrographic surgery (MMS) has transformed margin control in DFSP by...
Humans Artificial Intelligence Precision Medicine Margins of Excision Mohs Surgery Dermatofibrosarcoma Skin Neoplasms Robotic Surgical Procedures Sarcoma
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Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Scientific reports Aug 7, 2025
Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. The chances of successful treatment are greatly reduced if the melanoma is not treated in its early stages because it could spread aggressively. Hence,...
Deep Learning ROC Curve Humans Algorithms Melanoma Skin Neoplasms
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New Release of User-Captured Images from the Oregon Health & Science University Melanoma MoleMapper Project.

Scientific data Aug 2, 2025
We announce the release of the OHSU MoleMapper Smartphone Skin Images dataset which contains over six years of new data acquired from the Oregon Health & Science University's (OHSU) MoleMapper study. This released dataset includes 27,499 mole images ...
Photography Oregon Humans Melanoma Skin Neoplasms Smartphone
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Clinician Perspectives of a Magnetic Resonance Imaging-Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2-Related Schwannomatosis: Qualitative Pilot Study.

JMIR human factors Jul 30, 2025
BACKGROUND: Accurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2-related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but s...
Female Skin Neoplasms Pilot Projects Humans Magnetic Resonance Imaging Neurilemmoma Neurofibromatoses Qualitative Research Surveys and Questionnaires Imaging, Three-Dimensional Neurofibromatosis 2
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Classification of skin diseases with deep learning based approaches.

Scientific reports Jul 28, 2025
Skin diseases are one of the most common health problems that affect people of all ages around the world and significantly reduce the quality of life of individuals. Diseases of eczema, seborrheic dermatitis and skin cancer need to be diagnosed and c...
Humans Support Vector Machine Dermatitis, Seborrheic Skin Neoplasms Skin Diseases Algorithms Eczema Male Female Deep Learning
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AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

PloS one Jul 28, 2025
Skin cancer is a significant global public health issue, with millions of new cases identified each year. Recent breakthroughs in artificial intelligence, especially deep learning, possess considerable potential to enhance the accuracy and efficiency...
Keratosis, Seborrheic Male Middle Aged Deep Learning Image Processing, Computer-Assisted Smartphone Humans Boosting Machine Learning Algorithms Artificial Intelligence Melanoma Algorithms Skin Neoplasms Female Carcinoma, Basal Cell
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Type of pre-existing chronic conditions and their associations with Merkel cell carcinoma (MCC) treatment: Prediction and interpretation using machine learning methods.

PloS one Jul 18, 2025
OBJECTIVE: This study examined the prevalence of pre-existing chronic conditions and their association with the receipt of specific cancer-directed treatments among older adults with incident primary Merkel Cell Carcinoma (MCC) using novel predictive...
Male Humans United States Machine Learning Chronic Disease Skin Neoplasms Retrospective Studies SEER Program Aged Carcinoma, Merkel Cell Female Aged, 80 and over
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An explainable and federated deep learning framework for skin cancer diagnosis.

PloS one Jul 16, 2025
Skin cancer (SC) is the most prominent form of cancer in humans, with over 1 million new cases reported worldwide each year. Early identification of SC plays a crucial role in effective treatment. However, protecting patient data privacy is a major c...
Deep Learning Humans Algorithms Skin Neoplasms
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Enhanced melanoma and non-melanoma skin cancer classification using a hybrid LSTM-CNN model.

Scientific reports Jul 10, 2025
Melanoma is the most dangerous type of skin cancer. Although it accounts for only about 1% of all skin cancer cases, it is responsible for the majority of skin cancer-related deaths. Early detection and accurate diagnosis are crucial for improving th...
Melanoma Skin Neoplasms Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Assessing the Accuracy of ChatGPT in Appropriately Triaging Common Postoperative Concerns Regarding Mohs Micrographic Surgery.

JMIR dermatology Jul 8, 2025
Artificial intelligence (AI) is increasingly integrated into health care, offering potential benefits in patient education, triage, and administrative efficiency. This study evaluates AI-driven dialogue interfaces within an electronic health record a...
Generative Artificial Intelligence Postoperative Care Electronic Health Records Humans Triage Skin Neoplasms Artificial Intelligence Postoperative Complications Patient Portals Mohs Surgery
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