Dermatology

Deep learning dosiomics for the pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy.

PURPOSE: To develop a combined dosiomics and deep learning (DL) model for predicting radiation derma...

Application of Quantitative CT and Machine Learning in the Evaluation and Diagnosis of Polymyositis/Dermatomyositis-Associated Interstitial Lung Disease.

RATIONALE AND OBJECTIVES: To investigate lung changes in patients with polymyositis/dermatomyositis-...

New approaches to lesion assessment in multiple sclerosis.

PURPOSE OF REVIEW: To summarize recent advancements in artificial intelligence-driven lesion segment...

Critical considerations remain for utilizing artificial intelligence chatbot to translate dermatopathology reports.

Response to Lee and Tung "Critical considerations remain for utilizing artificial intelligence chatbot to translate dermatopathology reports".

Deployment of a Machine Learning Algorithm in a Real-World Cohort for Quality Control Monitoring of Human Epidermal Growth Factor-2-Stained Clinical Specimens in Breast Cancer.

CONTEXT.—: Precise determination of biomarker status is necessary for clinical trial enrollment and ...

Integrating network pharmacology and experimental validation to advance psoriasis treatment: Multi-target mechanistic elucidation of medicinal herbs and natural compounds.

BACKGROUND: Psoriasis, a chronic immune-mediated inflammatory disease (IMID), presents significant t...

Comment on 'Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study'.

Representations of skin tone and sex in dermatology by generative artificial intelligence: a comparative study.

With generative artificial intelligence (AI) demonstrating potential in dermatological education, as...

Performance of deep learning algorithm based on Xception in evaluating morphological characteristics reflecting the activity of vitiligo.

Protocol for a multicenter randomized controlled trial to assess the usefulness of computer-aided detection systems for colonoscopy in colorectal cancer screening in the Asia-Pacific region (project CAD/NCCH2217).

Ensuring the high quality of colonoscopies in colorectal cancer (CRC) screening is essential to redu...

Deep pixel-wise supervision for skin lesion classification.

BACKGROUND: Utilizing automated systems for diagnosing malignant skin lesions promises to improve th...

Establishment of an intelligent analysis system for clinical image features of melanonychia based on deep learning image segmentation.

Melanonychia, a condition that can be indicative of malignant melanoma, presents a significant chall...

Clinical Utility Findings of a Transcriptomic Psoriasis Biologic Test Demonstrate Altered Physician Prescribing Behavior and Improved Patient Outcomes.

INTRODUCTION: This randomized, prospective study (MATCH) was designed to assess the clinical utility...

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology.

OBJECTIVE: To design, implement, evaluate, and quantify a novel and adaptable Artificial Intelligenc...

Preparation of Active On-Demand Antibacterial Hydrogel Epidermis Electrodes Based on Flora Balance Strategy for Intelligent Prostheses.

Hydrogel epidermis electrodes have demonstrated remarkable potential for stable electrophysiological...

Comparing the number-needed-to-biopsy ratio for melanoma diagnosis by artificial intelligence as a medical device, teledermatology and face-to-face models of care.

Artificial intelligence scribes may revolutionize dermatology one note at a time.

FTIR-based machine learning for prediction of malignant transformation in oral epithelial dysplasia.

Oral squamous cell carcinoma (OSCC) is an aggressive cancer with a poor prognosis. Oral epithelial d...

Microbial dysbiosis and its diagnostic potential in androgenetic alopecia: insights from multi-kingdom sequencing and machine learning.

Androgenetic alopecia (AGA), the most common form of hair loss, has been linked to dysbiosis of the ...

OCT in dermatology: a process for determining whether a fully diversified dataset is needed for AI model-building.

Optical coherence tomography (OCT) has sufficient depth penetration for detection of skin pathologie...