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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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

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SCCNet: Skin Cancer Detection and Multi-Class Classification Using Deep CNN Model with Estimated Disease Probabilities

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FusionEXNet: an interpretable fused deep learning model for skin cancer detection

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Evaluating Sex and Age Biases in Multimodal Large Language Models for Skin Disease Identification from Dermatoscopic Images

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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

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An Effective Method for Skin Cancer Detection using Convolutional Kernel Extreme Learning Machine

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Computational intelligence techniques for achieving sustainable development goals in female cancer care

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Performance of Artificial Intelligence in Skin Cancer Detection: An Umbrella Review of Systematic Reviews and Meta‐Analyses

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Development of a new classification and scoring system for scalp conditions: Scalp Photographic Index (SPI)

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Stellenwert der künstlichen Intelligenz zur Ausbreitungsdiagnostik und Verlaufsbeurteilung von Dermatosen

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Comparing the self‐perceived effects of a facial anti‐aging product to those automatically detected from selfie images of Chinese women of different ages and cities

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Enhancing Customer Churn Prediction With Resampling: A Comparative Study

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Augmenting the accuracy of trainee doctors in diagnosing skin lesions suspected of skin neoplasms in a real-world setting: A prospective controlled before-and-after study

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Model soups improve performance of dermoscopic skin cancer classifiers

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Unassisted Clinicians Versus Deep Learning–Assisted Clinicians in Image-Based Cancer Diagnostics: Systematic Review With Meta-analysis

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Objective and automatic grading system of facial signs from smartphones’ pictures in South African men: Validation versus dermatologists and characterization of changes with age

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Artificial intelligence for precision medicine

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Nonexpert Crowds Outperform Expert Individuals in Diagnostic Accuracy on a Skin Lesion Diagnosis Task

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Skin Cancer Detection Using Deep Block Convolutional Neural Networks

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Deep Learning Algorithms for Predicting Breslow Thickness from Dermoscopic Images of Acral Lentiginous Melanomas

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Toward Augmented Intelligence: The First Prospective, Randomized Clinical Trial Assessing Clinician and Artificial Intelligence Collaboration in Dermatology

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Towards Diagnosis of Autoimmune Blistering Skin Diseases Using Deep Neural Network

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The relevance and accuracy of an AI algorithm‐based descriptor on 23 facial attributes in a diverse female US population

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Bias in Dermatological Datasets: A Critical Analysis of the Underrepresentation of Dark Skin Tones in Melanoma Classification Images

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Box Supervised Video Segmentation Proposal Network

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24th Irish Machine Vision and Image Processing Conference

(2022) · doi:10.56541/iprcs_imvip2022 · Cited by 7

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

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Diagnostic accuracy of artificial intelligence compared to family physicians and dermatologists for skin conditions: a systematic review and meta-analysis

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KinePose: A temporally optimized inverse kinematics technique for 6DOF human pose estimation with biomechanical constraints

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HDSNE a new unsupervised multiple image database fusion learning algorithm with flexible and crispy production of one database: a proof case study of lung infection diagnose In chest X-ray images

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Skin Cancer Diagnosis Using High-Performance Deep Learning Architectures

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Machine Learning and Artificial Intelligence in Modern Medicine

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A Radiomics Approach on Chest CT Distinguishes Primary Lung Cancer from Solitary Lung Metastasis in Colorectal Cancer Patients

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Skin cancer high-risk patient screening from dermoscopic images via Artificial Intelligence: an online studyPreprint

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Predicting Skin Concern Severity From Genetic and Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework

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The Use of Artificial Intelligence for Skin Cancer Detection in Asia—A Systematic Review

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Modified PNN classifier for diagnosing skin cancer severity condition using SMO optimization technique

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A call for implementing augmented intelligence in pediatric dermatology

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Optimizing Healthcare Throughput: The Role of Machine Learning and Data Analytics

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Skinformatics: Navigating the big data landscape of dermatology

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Systematic Reviews of Machine Learning in Healthcare: A Literature ReviewPreprint

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Automated Detection of Benign and Malignant Skin Lesions from Reflectance Confocal Microscopy Images Using Deep Learning

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Is the public sector Africa’s hidden force for AI-driven healthcare transformation?

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Artificial intelligence in dermatology: A literature review of current evidence and clinical implementation

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Use of convolutional neural networks in skin lesion analysis using real world image and non-image data

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DermSegNet: smart IoT model for multi-class dermatological lesion diagnosis using adaptive segmentation and improved EfficientNetB3

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Integrating Artificial Intelligence in dermatology: progress, challenges and perspectives

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Dermo classify: A dermatologist skin disease detection and classification using DCNN

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Improving Convolutional Neural Networks Diagnostic Ability for Malignant Skin Diseases on Diverse Skin Tones with Smooth Grad-CAM++ and Grad-CAM++

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Application of Artificial Intelligence in Diagnosing Oral and Maxillofacial Lesions, Facial Corrective Surgeries, and Maxillofacial Reconstructive Procedures

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FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification

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An Optimized Predictive Model Based on Deep Neural Network for Detection of Skin Cancer and Oral Cancer

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Skin Type Diversity: a Case Study in Skin Lesion DatasetsPreprint

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On the use of synthetic data for healthcare AI in Africa: Technical performance, governance challenges, and policy readiness

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Development of Scalp Diagnosis Algorithm Using Surface-Sensing Convolutional Neural Network

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Advancements and implications of artificial intelligence for early detection, diagnosis and tailored treatment of cancer

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Development of a Transfer Learning-Based, Multimodal Neural Network for Identifying Malignant Dermatological Lesions From Smartphone Images

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A 5‐hour follow‐up of the impact on ageing facial signs of some foundations in Japanese women through automatically analysed selfie pictures

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Deep Learning Algorithms for the Detection of Suspicious Pigmented Skin Lesions in Primary Care Settings: A Systematic Review and Meta-Analysis

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Exploring Filipino Medical Students’ Attitudes and Perceptions of Artificial Intelligence in Medical Education: A Mixed-Methods Study

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Preprocessed Vision Transformers and Classical Classifiers in Diagnosing Skin Diseases

Şenol, B., & Demiroğlu, U. (2025) · DÜMF Mühendislik Dergisi · doi:10.24012/dumf.1577835 · Cited by 2

A Novel Artificial Intelligence-Based Mobile Application for Pediatric Weight Estimation

Choi, S., Nah, S., Moon, J. E., & Han, S. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14092873 · Cited by 2

Identification Improvement of Malignant Skin Diseases for Diverse Skin Tones with Grad-CAM

Na, A. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-87660-8_10 · Cited by 2

Artificial Intelligence and Deep Learning for Skin Image Analysis

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Planet-wide performance of a skin disease AI algorithm validated in Korea

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Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool

Sayres, R., Jain, A., Venkatraman, M., Singh, P. K., Liu, Y., Winter, S., Schaekermann, M., Loh, A., Verma, S., Matias, Y., et al. (2026) · JAMA Dermatology · doi:10.1001/jamadermatol.2026.0597 · Cited by 2

Innovative non-ablative dermatologic strategy: Impinging jet surface-protected multi-beam laser therapy with CNN-based parameter optimization

Rezazadeh, S., Azhdari, M., Rezazadeh, G., Pathak, R., Mandl, L., Tautenhahn, H., Tautenhahn, F., Ricken, T., & Seyedpour, S. M. (2026) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2026.128932 · Cited by 2

Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people

Xu, X., Hu, H., Zhang, H., Wang, W. K., Wang, R., Soenksen, L. R., Badri, O., Jafry, S., Burger, E., Nwandu, L., et al. (2026) · Nature Medicine · doi:10.1038/s41591-026-04553-w · Cited by 8

Dynamic Channel Selection in Self-Supervised Learning

Krishna, T., Rai, A., Djilali, Y. A. D., Smeaton, A. F., McGuinness, K., & O'Connor, N. E. (2022) · International Machine Vision and Image Processing Conference (IMVIP) · doi:10.56541/lkli8696 · Cited by 2

Analysis of Skin Cancer and Recent Technology used for Automating Disease Diagnosis Procedure

Renith, G., & Senthilselvi, A. (2022) · International Conference on Inventive Research in Computing Applications (ICIRCA) · doi:10.1109/icirca54612.2022.9985571 · Cited by 2

Use of Artificial Intelligence in Skin Aging

Jiminez, V. S., Chung, M., Saleem, M., & Yusuf, N. (2023) · OBM Geriatrics · doi:10.21926/obm.geriatr.2302233 · Cited by 5

Classification of skin cancer using deep learning techniques

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Ethical, Legal, and Social Issues in Digital Dermatology

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An Enhanced Approach Using AGS Network for Skin Cancer Classification

Lee, H., Cho, S., Song, J., Kim, H., & Shin, Y. (2025) · Sensors · doi:10.3390/s25020394 · Cited by 2

Human knowledge-based artificial intelligence methods for skin cancer management: Accuracy and interpretability study

Rezk, E., Eltorki, M., & El-Dakhakhni, W. W. (2025) · Smart Health · doi:10.1016/j.smhl.2025.100540 · Cited by 2

The Role of Artificial Intelligence With Deep Convolutional Neural Network in Screening Melanoma: A Systematic Review and Meta-Analyses of Quasi-Experimental Diagnostic Studies

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Automated Skin Cancer Diagnosis: A Multi-Stage Deep Learning Approach for Malignancy Detection and Classification Using Dermoscopic Images

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Texture improvement for human shape estimation from a single image

Escribano, J. G., Rauno, S., Swaminathan, A., Smyth, D., & Smolić, A. (2022) · International Machine Vision and Image Processing Conference (IMVIP) · doi:10.56541/soww6683 · Cited by 2

Robust Selective Classification of Skin Lesions with Asymmetric Costs

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Unsupervised Scale-Invariant Multispectral Shape Matching

Pazi, I., Ginzburg, D., & Raviv, D. (2022) · International Machine Vision and Image Processing Conference (IMVIP) · doi:10.56541/vhmq4826 · Cited by 5

Statistical Tests for Replacing Human Decision Makers with AlgorithmsPreprint

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AI in Dermatology

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Use of modern technological devices (photography, mobile phone applications and artificial intelligence) in dermatology

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Automated dermatoscopic pattern discovery by clustering neural network output for human–computer interaction

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