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Dermatology
Showing 1-0 of 256 projects
A feasibility study and randomized controlled trial of a smartphone-based dermatosco...
This study evaluates the feasibility and clinical impact of a smartphone-based dermatoscopy application designed for the early detection of malignant melanoma i...
Assessment of the diagnostic accuracy of dermoscopy-based AI algorithms for melanoma...
Dermoscopy has transformed melanoma screening by enabling noninvasive visualization of pigmented skin lesions, yet variability in diagnostic performance persist...
Advanced Skin Microbiome Profiling for Personalized Diagnosis and Management of Atop...
Advanced Skin Microbiome Profiling for Personalized Diagnosis and Management of Atopic Dermatitis using Metagenomic Sequencing presents a comprehensive explorat...
Precision dermatology: AI-assisted lesion classification and personalized treatment ...
This study presents a comprehensive framework for precision dermatology that integrates AI-assisted lesion classification with personalized treatment planning u...
Development of an AI-assisted dermoscopic image analysis tool for early detection of...
Melanoma remains a leading cause of skin cancer-related mortality, with early detection dramatically improving survival outcomes. This research presents an AI-a...
: Large-scale analysis of cutaneous microbiome dynamics in dermatological diseases u...
Large-scale analysis of cutaneous microbiome dynamics across common dermatological diseases reveals robust, disease-specific microbial signatures and host–mic...
Non-invasive imaging biomarkers for early detection of skin cancer using multimodal ...
This study investigates the development of non-invasive imaging biomarkers for the early detection of skin cancer through the integration of multimodal dermosco...
Smartphone-based AI-assisted diagnosis of pigmented skin lesions using dermoscopic i...
Smartphone-based AI-assisted diagnosis of pigmented skin lesions using dermoscopic images leverages mobile technology and deep learning to provide accurate, acc...
Non-invasive characterization and machine learning-based classification of skin lesi...
This study presents a non-invasive framework for characterizing skin lesions and classifying them with machine learning by leveraging multimodal imaging and der...
Smartphone-based algorithm for early detection of skin cancer using dermoscopic imag...
This study develops and validates a smartphone-based algorithm for the early detection of skin cancer using dermoscopic images, integrating explainable artifici...
Automated Dermoscopic Image Analysis for Early Detection of Melanoma using Deep Lear...
Automated Dermoscopic Image Analysis for Early Detection of Melanoma using Deep Learning and Explainable AI presents a novel end-to-end framework that integrate...
Smartphone-based AI-assisted diagnostic aid for common dermatological lesions using ...
Smartphone-based AI-assisted diagnostic aid for common dermatological lesions using dermoscopic-like image analysis presents a scalable, accessible solution to ...
Development and validation of a machine learning model for early detection of melano...
Early detection of melanoma significantly improves survival, yet clinicians face challenges in differentiating malignant lesions from benign nevi using dermosco...
Assessing the diagnostic accuracy of dermoscopy-guided AI algorithms for differentia...
This study evaluates the diagnostic performance of dermoscopy-guided artificial intelligence (AI) algorithms in differentiating benign from malignant pigmented ...
Dermatology-inspired CRISPR-based gene editing for keratinocyte repair in inherited ...
Dermatology-inspired CRISPR-based gene editing was employed to repair keratinocytes in inherited skin disorder models, aiming to establish a proof-of-concept fo...
Quantitative assessment of dermoscopic features for early detection of basal cell ca...
Quantitative assessment of dermoscopic features for early detection of basal cell carcinoma using machine learning in diverse populations presents a data-driven...
Smartphone-based Dermoscopy and AI-driven Diagnosis for Early Detection of Melanoma ...
Early detection of melanoma remains a critical challenge in resource-limited settings due to limited access to expert dermatologists and high-cost diagnostic to...
Non-invasive assessment of skin cancer risk using machine learning analysis of derma...
We present a comprehensive study on non-invasive skin cancer risk assessment using machine learning analysis of dermatoscopic images integrated with structured ...
Development of an AI-driven dermatoscopic image analysis platform for early detectio...
This study presents the development and evaluation of an AI-driven dermatoscopic image analysis platform designed for early detection and classification of pigm...
Impact of Microbiome Alterations on Psoriasis Severity and Treatment Response Using ...
Psoriasis is a chronic inflammatory skin disorder characterized by heterogeneous clinical phenotypes and variable therapeutic responses, with mounting evidence ...
Assessment of scalar and molecular biomarkers in predicting treatment response in on...
This study investigates the predictive performance of scalar and molecular biomarkers in forecasting treatment response in onychomycosis through an integrative ...
Development of an AI-Powered Mobile Application for Early Detection and Diagnosis of...
Skin cancer constitutes one of the most prevalent and rapidly increasing forms of cancer worldwide, often diagnosed at advanced stages due to limited access to ...
Development of a Machine Learning Model for Early Detection of Melanoma Using Dermos...
Early detection of melanoma, a highly aggressive form of skin cancer, significantly increases the chances of successful treatment and improves patient survival ...
Development of an AI-Powered Mobile Application for Early Detection and Diagnosis of...
Early detection and accurate diagnosis of melanoma, a highly aggressive form of skin cancer, remain critical challenges in dermatology due to the limitations of...
Development of a Deep Learning-Based Diagnostic System for Early Detection of Melano...
Early detection of melanoma, a highly aggressive form of skin cancer, is critical for improving patient prognosis and reducing mortality rates. Despite advancem...
Development of an AI-powered Diagnostic System for Skin Lesion Classification...
Skin cancer remains one of the most prevalent and potentially lethal dermatological conditions globally, often requiring early diagnosis for effective treatment...
Development of a Deep Learning-Based Diagnostic Tool for Skin Lesions Classification...
Skin cancer, particularly melanoma, poses a significant global health challenge due to its increasing prevalence and the need for early diagnosis to improve pat...
Development of an AI-based Diagnostic System for Skin Lesion Classification...
The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies has transformed various medical diagnostic processes, particularly ...
Development of an AI-Powered Dermatoscope for Early Detection of Skin Cancers...
Early detection of skin cancer significantly improves treatment outcomes and patient prognosis, yet current diagnostic methods often rely heavily on manual visu...
Development of an AI-based Diagnostic System for Skin Disease Identification...
This research aims to develop a comprehensive artificial intelligence (AI) powered diagnostic system capable of accurately identifying various skin diseases thr...
