Dermatology

coPERCIST: AI-assisted PET-CT response assessment.

PURPOSE: The PET Response Criteria in Solid Tumours (PERCIST) 1.0 provides a standardized framework for evaluating treatment response using [18F]fluorodeoxyglucose ([18F]FDG) positron emission tomography - computed tomography (PET-CT), but its clinical use is hindered by manual complexity. This study presents coPERCIST, an artificial intelligence (AI)-assisted module integrated into the RECOMIA pl...

AI-assisted basal cell carcinoma diagnosis with LC-OCT: A multicentric retrospective study.

BACKGROUND: Basal cell carcinoma (BCC) is the most common skin cancer, requiring an early diagnosis and accurate margin definition to prevent functional and cosmetic complications. Traditional methods using clinical and dermoscopic images (C&D) often rely on biopsies and histology for final validation. Non-invasive techniques like LC-OCT, enabling 'digital biopsies', are promising alternatives, bu...

Prostate cancer and benign prostatic hyperplasia lesions segmentation using diffusion kurtosis imaging, T2*, and R2* mapping with U-Net++ algorithm.

This study aimed to propose a deep learning-based segmentation framework to delineate prostate lesions across multiple MRI acquisitions and derived pa...

Deep learning enhanced label-free cervical screening via stimulated Raman cytology.

Cervical cancer screening remains pivotal for early detection and effective disease management, yet conventional cytopathological methods relying on s...

Predicting sentinel lymph node metastasis in melanoma patients: A machine learning-based predictive model.

BACKGROUND: Risk factors for sentinel lymph node (SLN) metastasis in melanoma have been studied. However, there remains a lack of widely applicable mo...

Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?

Canine cutaneous mast cell tumors (ccMCTs) are frequent neoplasms with variable biological behaviors. Internal tandem duplication mutations in c-KIT e...

Response to 'MISSLE in melanoma: Promise, limitations and the need for broader validation'.

Automated detection and characterization of small cell lung cancer liver metastasis on computed tomography.

PURPOSE: Small cell lung cancer (SCLC) is an aggressive disease with diverse phenotypes that reflect the heterogeneous expression of tumor-related gen...

Can we trust AI for acne advice: A double-blind performance comparison with NICE guidelines.

Reply to 'Risk stratification of cutaneous melanoma using deep learning on whole slide images'.

WaveNet-SF: A hybrid network for retinal disease detection based on wavelet transform in spatial-frequency domain.

Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being critical for effective treatment. Optical Coheren...

Deep Learning-Based CAD System for Enhanced Breast Lesion Classification and Grading Using RFTSDP Approach.

OBJECTIVES: Accurate detection of breast lesion type is crucial for optimizing treatment; however, due to the limited precision of current diagnostic ...

Artificial intelligence chatbots for atopic dermatitis: Accuracy, readability, and concordance with American Academy of Dermatology guidelines.

From variant of unknown significance to actionable diagnosis: Stepwise interpretation of a novel KRT2 variant in superficial epidermolytic ichthyosis with excellent retinoid response.

MISSLE in melanoma: Promise, limitations and the need for broader validation.

Machine Learning Model for an App-Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis.

BACKGROUND: Canine atopic dermatitis (cAD) is a chronic condition requiring life-long management. Accurate diagnosis can be challenging, with no relia...

MicroRNA biomarkers in psoriasis.

Psoriasis, a T-helper mediated chronic inflammatory autoimmune skin disease, has significant socioeconomic burden worldwide. Unfortunately, its etiolo...

FairDITA: Disentangled Image-Text Alignment for Fair Skin Cancer Diagnosis.

Recent advances in deep learning have significantly improved skin cancer classification, yet concerns regarding algorithmic fairness persist because o...

Cascading size-dependent deep propagation (CADP): Addressing over-smoothing in graph few-shot dermatology classification.

Graphs play a critical role in capturing complex data relationships, particularly in few-shot learning tasks. However, one of the major challenges in ...

Localizing Knee Pain via Explainable Bayesian Generative Models and Counterfactual MRI: Data from the Osteoarthritis Initiative.

Osteoarthritis (OA) pain often does not correlate with magnetic resonance imaging (MRI)-detected structural abnormalities, limiting the clinical utili...