AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions

Dermatologist-level classification of skin cancer with deep neural networks

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Overview of Next‐Generation Sequencing Technologies

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Next-generation sequencing technologies: An overview

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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

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Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

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Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities

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Cancer Diagnosis Using Deep Learning: A Bibliographic Review

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The skin cancer classification using deep convolutional neural network

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Superior skin cancer classification by the combination of human and artificial intelligence

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Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network

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Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art

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Ethical dimensions of using artificial intelligence in health care

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Skin cancer diagnosis based on optimized convolutional neural network

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Deep‐learning‐based, computer‐aided classifier developed with a small dataset of clinical images surpasses board‐certified dermatologists in skin tumour diagnosis

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Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge

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A decision support system for multimodal brain tumor classification using deep learning

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Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges

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A multi-class skin Cancer classification using deep convolutional neural networks

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Ultraviolet Radiation Exposure and Its Impact on Skin Cancer Risk

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Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening: A Qualitative Study

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The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning

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Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations

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Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

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Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers

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Skin cancer detection from dermoscopic images using deep learning and fuzzy k ‐means clustering

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Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer

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Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images

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Region Extraction and Classification of Skin Cancer: A Heterogeneous framework of Deep CNN Features Fusion and Reduction

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Application of decision tree-based ensemble learning in the classification of breast cancer

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Augmented intelligence dermatology: deep neural networks empower medical professionals in diagnosing skin cancer and predicting treatment options for 134 skin disorders.

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Characteristics of publicly available skin cancer image datasets: a systematic review

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A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications

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Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier

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Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities

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A novel melanoma prediction model for imbalanced data using optimized SqueezeNet by bald eagle search optimization

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Skin cancer detection and classification using machine learning

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Skin disease diagnosis with deep learning: a review

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Diagnosis of skin cancer using machine learning techniques

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Skin Cancer Concerns in People of Color: Risk Factors and Prevention

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Intelligent skin cancer diagnosis using improved particle swarm optimization and deep learning models

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Machine Learning and Its Application in Skin Cancer

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Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review

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An approach for multiclass skin lesion classification based on ensemble learning

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Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine

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Melanoma Skin Cancer Detection using Image Processing and Machine Learning

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Intelligent skin cancer detection applying autoencoder, MobileNetV2 and spiking neural networks

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Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions

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Keratinocytic Skin Cancer Detection on the Face Using Region-Based Convolutional Neural Network

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Skin Lesion Classification using Machine Learning Algorithms

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Optical coherence tomography for diagnosing skin cancer in adults

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An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

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A two‐stream deep neural network‐based intelligent system for complex skin cancer types classification

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Enhancing Skin Cancer Diagnosis with Dermoscopy

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An ensemble classification approach for melanoma diagnosis

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Skin cancer: findings and role of high-resolution ultrasound

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Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis

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Automated mammogram breast cancer detection using the optimized combination of convolutional and recurrent neural network

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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network

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NE-nu-SVC: A New Nested Ensemble Clinical Decision Support System for Effective Diagnosis of Coronary Artery Disease

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Audio-Visual Emotion Recognition Using Big Data Towards 5G

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Classification of skin cancer using convolutional neural networks analysis of Raman spectra

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The limitations of dermoscopy: false‐positive and false‐negative tumours

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Artificial Intelligence and Its Effect on Dermatologists’ Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study

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Teledermatology: idea, benefits and risks of modern age - a systematic review based on melanoma

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Integrating Patient Data Into Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review

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The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions

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Uncovering and Correcting Shortcut Learning in Machine Learning Models for Skin Cancer Diagnosis

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Classification of Melanoma Skin Cancer using Convolutional Neural Network

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Remote Diagnosis and Triaging Model for Skin Cancer Using EfficientNet and Extreme Gradient Boosting

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Noninvasive Imaging Tools in the Diagnosis and Treatment of Skin Cancers

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Bag of feature and support vector machine based early diagnosis of skin cancer

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Legal concerns in health-related artificial intelligence: a scoping review protocol

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Microscopic Blood Cell Classification Using Inception Recurrent Residual Convolutional Neural Networks

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Long short-term memory model – A deep learning approach for medical data with irregularity in cancer predication with tumor markers

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Deep learning for dermatologists: Part I. Fundamental concepts

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Characterization of Mueller matrix elements for classifying human skin cancer utilizing random forest algorithm

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A Systematic Review of Wearable Systems for Cancer Detection: Current State and Challenges

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A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin

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Signal-piloted processing metaheuristic optimization and wavelet decomposition based elucidation of arrhythmia for mobile healthcare

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A Reinforcement Learning Algorithm for Automated Detection of Skin Lesions

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DUNEScan: a web server for uncertainty estimation in skin cancer detection with deep neural networks

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Computer Decision Support System for Skin Cancer Localization and Classification

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DermoCC-GAN: A new approach for standardizing dermatological images using generative adversarial networks

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Integration of modified ABCD features and support vector machine for skin lesion types classification

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Detection of Benign and Malignant Tumors in Skin Empowered with Transfer Learning

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Ensemble of weighted deep concatenated features for the skin disease classification model using modified long short term memory

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Generation of a novel next-generation sequencing-based method for the isolation of new human papillomavirus types

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An Early Intestinal Cancer Prediction Algorithm Based on Deep Belief Network

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Automatic segmentation and melanoma detection based on color and texture features in dermoscopic images

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Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier

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Transforming Skin Quality Evaluation With AI : From Subjective Grading to Data‐Driven Precision

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Snap Diagnosis: Developing an Artificial Intelligence Algorithm for Penile Cancer Detection from Photographs

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Analysis of the reasons of misclassification of non-melanocytic skin tumors by artificial intelligence based programs

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Skin Cancer Detection: A Hybrid Approach Combining CNNs and Explainable AI

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DenseNet-Driven Multi-Class Classification of Skin Lesions with Data Augmentation for Improved Balance

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Artificial Intelligence in Dermatology Research and Drug Discovery

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Hybrid approach for multi-class skin cancer classification with DCNN feature and ensemble techniques

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Molecular and modular intricacies of precision oncology

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Current status of artificial intelligence methods for skin cancer survival analysis: a scoping review

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Unveiling the Spectrum of UV-Induced DNA Damage in Melanoma: Insights From AI-Based Analysis of Environmental Factors, Repair Mechanisms, and Skin Pigment Interactions

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Precision revealed: diagnostic performance by consumer artificial intelligence powered app in recognizing skin conditions in primary care settings

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DermFormer: nested multi-modal vision transformers for robust skin cancer detection

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Multi-Modal Medical Image Fusion for Enhanced Diagnosis using Deep Learning in the Cloud

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Harnessing the Power of Artificial Intelligence for Enhanced Point-of-Care Quality Control in Healthcare.

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Skin Cancer Detection Using Ensemble Learning: ViT, InceptionV3, and MobileNetV2

Junaedi, E., Fatichah, C., & Fabroyir, H. (2025) · International Conference on Smart Computing, IoT and Machine Learning (SIML) · doi:10.1109/siml65326.2025.11081030 · Cited by 3 · see citing works

Deep Learning and Machine Learning models for Skin Disease Detection.A Systematic Review

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Analytic validation of convolutional neural network-based classification of pigmented skin lesions (PSLs) using unseen PSL hyperspectral data for clinical applications

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Leveraging Artificial Intelligence for Healthcare Data Analytics: A Comprehensive Survey

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An explainable digital twin framework for skin cancer analysis using early activation meta-learner

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A Unified Deep Learning Framework for Robust Multi-Class Tumor Classification in Skin and Brain MRI

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Cutting-edge AI technologies in skin cancer applications

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An Ensemble Deep Learning Framework for Automated Multi Class Skin Lesion Classification Using ConvNeXt-Tiny, EfficientNetV2-S, and MobileNetV3

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AI-driven electrochemical biosensing platforms for skin cancer: Analytical advances toward intelligent theranostic and drug-delivery systems

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Machine Learning and Cloud-based Mobile App for Real Time Skin Cancer Prediction

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Emerging technologies in dermatopathology

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Artificial Intelligence Technologies and Mobile Applications in Cosmetic Surgery: Trends and Recommendations

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Skin cancer stage classification in big data healthcare using Rough Set Theory for improved diagnosis and treatment

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Evaluating the Efficiency of Deep Learning Models for Personalized Healthcare

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Applying Neural Networks to Recover Values of Monitoring Parameters for COVID-19 Patients in the ICU

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AI-Powered Early Detection of Sepsis using Infrared Image Multi-Target based Faster Region-based Convolutional Neural Network

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A Novel Radiology-Adapted Logistic Model for Non-Invasive Risk Stratification of Pigmented Superficial Skin Lesions: A Methodological Pilot Study

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Market-approved convolutional neural network tasked with classifying skin lesions under suspicion of melanoma: performance across primary care clinics within Australia

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Smart nursing in the information age: new strategies and technological innovations in the clinical management of breast cancer patients

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Multi-stage knowledge distillation with layer fusion-based deep learning approach for skin cancer classification

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ChatGPT-4o as a diagnostic tool for skin cancer: Diagnostic accuracy in melanoma and non-melanoma detection

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Integrating Non-local Information with Residual Blocks to Generate Explainable Attention Maps of Skin Cancer

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Exploring contemporary directions in skin lesion detection and classification: a comprehensive survey of recent trends

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AI-Powered Skin Lesion Identification and Classification Framework: A Deep Learning Approach for Early Diagnosis of Skin Cancer Using Electrochemical Methods

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Trust Dynamics in Remote Patient-Expert Communication

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Inclusion Ethics in AI: Use Cases in African Fashion

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THE ANALYSIS STUDY OF ARTIFICIAL INTELIGENCE FOR SKIN CANCER : A COMPREHENSIVE SYSTEMATIC REVIEW

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Improving Skin Lesion Diagnosis with Grasshopper-Optimized ResNet-50 Architecture

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Representation and Bias in Artificial Intelligence Models for Thyroid Cancer: A Systematic Review

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Development and Implementation of a Fuzzy Logic‐Based Framework for the Internet of Medical Things (IoMT)

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Skin cancer detection using machine learning: Systematic review

Sharma, R., & Sandhu, D. A. (2026) · AIP conference proceedings · doi:10.1063/5.0327393

Revolutionizing Skin Cancer Diagnosis With Artificial Intelligence

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Machine Learning And Deep Learning Techniques For Automated Skin Cancer Detection: A Comprehensive Review

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State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

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Review on skin cancer detection using AI

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