Dermatology

Classification of skin diseases with deep learning based approaches.

Skin diseases are one of the most common health problems that affect people of all ages around the w...

Connectomic stroke lesion measures provide no benefit over basic spatial lesion features in the prognosis of global stroke outcome measures.

The prediction of stroke outcome from imaging markers could be used to guide individualized therapeu...

AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

Skin cancer is a significant global public health issue, with millions of new cases identified each ...

Contextual structured annotations on PACS: a futuristic vision for reporting routine oncologic imaging studies and its potential to transform clinical work and research.

Radiologists currently have very limited and time-consuming options to annotate findings on the imag...

Considerations on GPT-4o and Gemini Flash 2.0 in Acne/Rosacea.

Artificial Intelligence and Trichoscopy: Potentials and Pitfalls in Alopecia Diagnosis.

Intrahepatic cholestasis of pregnancy.

Intrahepatic cholestasis of pregnancy is the most common pregnancy-related liver disease, manifestin...

Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.

The study investigates the correlation between CD3 T-cell expression levels and cervical cancer (CC)...

Sustainability in Cosmetic Dermatology: Moving Toward an Ecologically Responsible Future.

Sustainability in cosmetic dermatology is becoming a pivotal aspect of modern clinical practice, ali...

Thin-Slice Brain CT Image Quality and Lesion Detection Evaluation in Deep Learning Reconstruction Algorithm.

BACKGROUND: Clinical evaluation of Artificial Intelligence (AI)-based Precise Image (PI) algorithm i...

A commentary on "application of Artificial Intelligence lesion labeling system-assisted endoscopic submucosal dissection for the treatment of esophageal lesions in a low-volume center: a prospective cohort study".

Artificial Intelligence in digital pathology of breast cancer, new era of practice?

Breast cancer is the most common cancers among women worldwide. Early diagnosis and personalized med...

Screening and novel diagnostic technologies for melanoma: an update.

Melanoma incidence has increased over recent decades, yet mortality has been relatively stable. This...

Advances in IPMN imaging: deep learning-enhanced HASTE improves lesion assessment.

OBJECTIVE: The prevalence of asymptomatic pancreatic cysts is increasing due to advances in imaging ...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...

Artificial intelligence on inflammatory dermatoses: where we are and where are we going?

BACKGROUND: Artificial intelligence (AI) is increasingly gaining ground in dermatology, with studies...

Informing a Position Statement on the Use of Large Language Models and AI Scribes in Dermatology in Australia.

Artificial Intelligence (AI) refers to the ability of computers to mimic human intelligence. In resp...

Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer.

This study sought to develop a radiomics model capable of predicting axillary lymph node metastasis ...

Artificial intelligence verses traditional method in generating dermatology consultation letters: a pilot study comparing accuracy, readability, and efficiency.

OBJECTIVE: This pilot study aimed to compare the accuracy, readability, and efficiency of dermatolog...

Deep multi-task learning framework for gastrointestinal lesion-aided diagnosis and severity estimation.

Accurate diagnosis and severity estimation of gastrointestinal tract (GT) lesions are crucial for pa...

Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial.

BACKGROUND: Acne vulgaris (AV) is one of the most common skin disorders, with a peak incidence in ad...