AIMC Topic: Skin Neoplasms

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Cutaneous squamous cell carcinoma characterized by MALDI mass spectrometry imaging in combination with machine learning.

Scientific reports May 15, 2024
Cutaneous squamous cell carcinoma (SCC) is an increasingly prevalent global health concern. Current diagnostic and surgical methods are reliable, but they require considerable resources and do not provide metabolomic insight. Matrix-assisted laser de...
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Humans Machine Learning Skin Neoplasms Carcinoma, Squamous Cell Animals Mice
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Artificial Intelligence in Dermatology: A Systematic Review of Its Applications in Melanoma and Keratinocyte Carcinoma Diagnosis.

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] May 9, 2024
BACKGROUND: Limited access to dermatologic care may pose an obstacle to the early detection and intervention of cutaneous malignancies. The role of artificial intelligence (AI) in skin cancer diagnosis may alleviate potential care gaps.
Sensitivity and Specificity Humans Algorithms Carcinoma, Basal Cell Keratinocytes Artificial Intelligence Melanoma Dermatology Carcinoma, Squamous Cell Skin Neoplasms Dermoscopy
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Enhancing Skin Cancer Classification using Efficient Net B0-B7 through Convolutional Neural Networks and Transfer Learning with Patient-Specific Data.

Asian Pacific journal of cancer prevention : APJCP May 1, 2024
BACKGROUND: Skin cancer diagnosis challenges dermatologists due to its complex visual variations across diagnostic categories. Convolutional neural networks (CNNs), specifically the Efficient Net B0-B7 series, have shown superiority in multiclass ski...
Humans Skin Neoplasms Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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DCDLN: A densely connected convolutional dynamic learning network for malaria disease diagnosis.

Neural networks : the official journal of the International Neural Network Society Apr 29, 2024
Malaria is a significant health concern worldwide, particularly in Africa where its prevalence is still alarmingly high. Using artificial intelligence algorithms to diagnose cells with malaria provides great convenience for clinicians. In this paper,...
Artificial Intelligence Humans Malaria Skin Neoplasms Machine Learning Diagnosis, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning
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Early automated detection system for skin cancer diagnosis using artificial intelligent techniques.

Scientific reports Apr 28, 2024
Recently, skin cancer is one of the spread and dangerous cancers around the world. Early detection of skin cancer can reduce mortality. Traditional methods for skin cancer detection are painful, time-consuming, expensive, and may cause the disease to...
Skin Neoplasms Humans Dermoscopy Neural Networks, Computer Sensitivity and Specificity Artificial Intelligence Support Vector Machine Algorithms Early Detection of Cancer
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Patients' and dermatologists' preferences in artificial intelligence-driven skin cancer diagnostics: A prospective multicentric survey study.

Journal of the American Academy of Dermatology Apr 24, 2024
Surveys and Questionnaires Dermatologists Dermatology Patient Preference Adult Male Middle Aged Artificial Intelligence Skin Neoplasms Humans Prospective Studies Aged Female
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Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization.

Scientific reports Apr 24, 2024
Skin Cancer is caused due to the mutational differences in epidermis hormones and patch appearances. Many studies are focused on the design and development of effective approaches in diagnosis and categorization of skin cancer. The decisions are made...
Humans Neural Networks, Computer Machine Learning Skin Neoplasms Algorithms
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A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection.

Scientific reports Apr 23, 2024
Skin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The effectiveness of the disease's therapy is significantly impacted by early identification of this ...
Algorithms Skin Neoplasms Dermoscopy Humans Image Processing, Computer-Assisted Neural Networks, Computer Skin Image Interpretation, Computer-Assisted
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People Also Ask: What Do Internet Users Want to Know About Mohs Surgery, and What Can Artificial Intelligence Tell Them?

Dermatologic surgery : official publication for American Society for Dermatologic Surgery [et al.] Apr 17, 2024
Humans Male Internet Mohs Surgery Artificial Intelligence Female Skin Neoplasms
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Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.

Social science & medicine (1982) Apr 15, 2024
BACKGROUND AND AIM: Skin cancer is a major public health issue. While self-examinations and professional screenings are recommended, they are rarely performed. Mobile health (mHealth) apps utilising artificial intelligence (AI) for skin cancer screen...
Telemedicine Patient Preference Early Detection of Cancer Dermatologists Adult Male Middle Aged Surveys and Questionnaires Mobile Applications United States Female Skin Neoplasms Aged Humans Artificial Intelligence
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