Dermatology

The impact of artificial intelligence on the endoscopic assessment of inflammatory bowel disease-related neoplasia.

Inflammatory bowel disease (IBD) is a group of chronic inflammatory conditions of the gastrointestin...

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.

BACKGROUND AND AIMS: Multiple artificial intelligence (AI) systems have been developed to assist wit...

Beyond Fitzpatrick: automated artificial intelligence-based skin tone analysis in dermatological patients.

Human skin tone is influenced by genetic, environmental, and cultural factors and plays a key role i...

Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.

UNLABELLED: BACKGROUND AND OBJECTIVES: SCORe of Toxic Epidermal Necrolysis (SCORTEN) and ABCD-10 hav...

Modified Le-Net Model with Multiple Image Features for Skin Cancer Detection.

Computer-based technologies significantly improve melanoma and non-melanoma skin cancer detection by...

Cancer vaccines and the future of immunotherapy.

Vaccines have had a major impact on the control of infectious disease, most recently by helping to c...

Author Correction: Focal liver lesion diagnosis with deep learning and multistage CT imaging.

Evaluation of the repigmentation of facial vitiligo using an AI algorithm in a phase 2 study.

HAPIR: a refined Hallmark gene set-based machine learning approach for predicting immunotherapy response in cancer patients.

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, yet the response rate rema...

Exploratory multi-cohort, multi-reader study on the clinical utility of a deep learning model for transforming cryosectioned to formalin-fixed, paraffin-embedded (FFPE) images in breast lesion diagnosis.

BACKGROUND: Cryosectioned tissues often exhibit artifacts that compromise pathologists' diagnostic a...

Self-Driving and Detachable Lab-Microrobots Tailor Drug Delivery for Closed-Loop Stimulation of the Antitumor Immune Cycle.

Hypoxia arises in most solid tumors with insufficient blood flow, which hinders the delivery and eff...

The melanoma MEGA-study: Integrating proteogenomics, digital pathology, and AI-analytics for precision oncology.

Melanoma remains the most aggressive form of skin cancer, characterized by high metastatic potential...

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study.

BACKGROUND: The clinical application of artificial intelligence (AI) models based on breast ultrasou...

Artificial intelligence (AI) and CT in abdominal imaging: image reconstruction and beyond.

Computed tomography (CT) is a cornerstone of abdominal imaging, playing a vital role in accurate dia...

Integrating Machine Learning Algorithms to Construct a Triaptosis-Related Prognostic Model in Melanoma.

INTRODUCTION: Melanoma is a highly aggressive skin cancer that accounts for a disproportionate numbe...

Enhancing the Accuracy of Skin Lesion Diagnosis Using Hyperspectral Imaging and Deep Learning.

This study presents a novel diagnostic approach that integrates hyperspectral imaging (HSI) with dee...

Monitoring of Early Skin Reactions by Optical Coherence Tomography and Dermatoscopy in Patients Receiving Radiation Therapy for Head and Neck Cancer.

PURPOSE: Patients with head and neck cancer undergoing radiation therapy (RT) may experience pronoun...

IoT-Driven Skin Cancer Detection: Active Learning and Hyperparameter Optimization for Enhanced Accuracy.

Skin cancer, one of the most prevalent and lethal cancer types, poses significant challenges for ear...

Comparison of lesion segmentation performance in diffusion-weighted imaging and apparent diffusion coefficient images of stroke by artificial neural networks.

Stroke is the second leading cause of death, accounting for 11% of deaths worldwide. Comparing diffu...

Enhancing and advancements in deep learning for melanoma detection: A comprehensive review.

Melanoma, although not the most common skin cancer, poses a significant global health challenge, par...

Improving Covalent and Noncovalent Molecule Generation via Reinforcement Learning with Functional Fragments.

Small-molecule drugs play a critical role in cancer therapy by selectively targeting key signaling p...