Dermatology

Multiclass convolutional neural network vs. 96 dermatologists in skin lesion diagnosis, an international study.

BACKGROUND AND OBJECTIVES: Artificial intelligence was shown to improve diagnostic accuracy for skin...

Machine learning-guided drug repurposing for EGFR inhibition using scaffold-split validation, docking, and molecular dynamics.

Aberrant epidermal growth factor receptor (EGFR) signaling drives multiple cancers, but the clinical...

Cross-modal attentive fusion network for tri-modal lesion growth prediction.

Pre-trained LSTM-RNN models with linear kernels fail to capture irregular, non-linear lesion growth ...

LAM-CATNet: lambda-aware multi-scale cross-attention swin transformer network for mammogram classification.

The fundamental requirement for the initial recognition of a mammogram is the accurate segmentation ...

Deep learning-based spatiotemporal estimation of lesion changes for patient-level assessment of breast cancer lung metastases on longitudinal CT.

Clinical management of breast cancer lung metastasis is challenging because of the complexity of dyn...

Predicting time to local failure after gamma knife radiosurgery for melanoma brain metastases using survival machine learning.

BACKGROUND: Melanoma brain metastases treated with Gamma Knife radiosurgery show heterogeneous local...

Ultrasound-based multiregional radiomics nomogram for predicting recurrence in HER2-positive breast cancer.

PURPOSE: Accurate prediction of recurrence risk is crucial for personalizing therapy in human epider...

Impact of a commercial artificial intelligence decision-support system on biparametric MRI interpretation for detecting clinically significant prostate cancer: a retrospective single-center prostatectomy-validated multi-reader study across experience levels.

PURPOSE: To determine whether QP-Prostate, a commercially available artificial intelligence (AI) dec...

From black-box to clinical reasoning: CARE-MD a novel framework for Self-eXplainable skin lesions.

BACKGROUND AND OBJECTIVE: Deep learning models have achieved remarkable diagnostic accuracy in medic...

Multimodal deep learning integration of clinical, dosiomics, and radiomics features to predict toxicity in breast cancer patients undergoing hypofractionated radiotherapy.

BACKGROUND AND PURPOSE: Radiation dermatitis (RD) and superficial soft tissue fibrosis are common to...

A U-Net model for epidermal segmentation in optical coherence tomography images of actinic keratosis.

Actinic keratosis (AK) is a pre-cancerous skin lesion typically caused by excessive exposure to ultr...

Dual-stream token fusion with Swin Transformer and lesion-aware tokens for gastric metaplasia classification in IoMT-assisted deployment.

BACKGROUND: Gastric intestinal metaplasia (GIM) is often visually inconspicuous on routine endoscopy...

Radiation dose-aware sinogram knowledge library transformer with feature modulation for low-dose medical image segmentation.

Low-dose computed tomography (LDCT) and low-dose positron emission tomography (LDPET) enable shorter...

Plasma signals of lung tumor promotion for molecular cancer prevention.

Predicting lung cancer risk would enhance prevention trials. Although the Canakinumab Anti-inflammat...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disabili...

Weakly-supervised deep learning on pathological whole-slide images for cutaneous vasculitis and its mimickers: a high-performance diagnostic support tool.

Cutaneous vasculitis represents a heterogeneous group of disorders characterized by inflammation and...

Towards a clinically integrated artificial intelligence tool for triage of skin cancer.

Skin cancer is one of the most prevalent malignancies worldwide, with early detection critical to im...

Correction: Q-CaDD: accelerating in silico methodologies with quantum computation and machine learning for Epidermal growth factor receptor.

Contrastive adapter training and consensus knowledge distillation for multi-source-free domain adaptation in skin cancer diagnosis.

Skin cancer diagnosis, particularly the differentiation of melanoma from benign nevi, is a vital yet...

AI and radiomics for improving the medical workflow for Multiple Sclerosis.

BACKGROUND AND OBJECTIVE: Multiple Sclerosis (MS) is a chronic degenerative disorder that significan...

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in c...