Dermatology

Missed melanoma following skin lesion triage by an autonomous artificial intelligence system in a community setting.

Artificial Intelligence in Ischemic Stroke Lesion Segmentation: A Narrative Review of Deep Learning Methods, Clinical Utility, and Future Directions.

Ischemic stroke management is time-sensitive, and lesion segmentation supports treatment selection, ...

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...

RCAF for patient-level thyroid ultrasound malignancy prediction under leakage-free evaluation and calibration.

Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinical...

Test-fairness deep learning with influence score.

Performance disparities in AI systems can manifest across sensitive groups or across data sources, e...

Smartphone Applications in Dermatology With Special Focus on AI: A European-Continent-Based Review.

Smartphone applications for dermatology are widely available across Europe, yet evidence on their ch...

Development of a predictive marker panel for the individualised bDMARD therapy of psoriatic arthritis: protocol for a prospective observational study (Integrate-PsA).

INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skelet...

Image optimization for low-dose 18F-FDG breast PET/MRI using deep learning: a pilot study.

BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvas...

Dual AI models for gamma knife radiosurgery in craniopharyngioma: prescription dose modeling and outcome risk prediction.

BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established adjunct for residual or recurrent cran...

A modern review of uveal melanoma: molecular insights, clinical management, and emerging therapies.

Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...

Deep progressive learning reconstruction for fast and low-dose whole-body PET scans in an integrated PET/MR system.

BACKGROUND: PET/MR combines molecular and functional imaging but faces challenges such as prolonged ...

Deep learning reconstruction-applied PROPELLER diffusion-weighted imaging in uterine malignancies: a comparison study with MUSE.

PURPOSE: To compare the image quality of diffusion-weighted imaging (DWI) between deep learning reco...

Maintaining SUV accuracy in low-count PET with PETfectior: a deep learning denoising solution.

The diagnostic image quality of positron emission tomography (PET) acquisitions strongly depends on ...

Automated model-based lesion tracking in CT: colorectal liver metastases as a use case for development and performance analysis.

OBJECTIVE: To develop and evaluate an automated CT liver lesion-tracking algorithm that matches lesi...

Frontline Health Workers' Perspectives of the World Health Organization Skin Neglected Tropical Diseases App in Kenya: Qualitative Study on AI-Embedded mHealth Implementation.

BACKGROUND: Skin neglected tropical diseases (NTDs) pose significant diagnostic and management chall...

Paintable on-skin dry electrodes with robust skin and device connection for wireless sensing and human-machine interfaces.

Reliable and continuous electrophysiological recording is important for health monitoring and human-...

Label-Free Prediction of EGFR Mutation Status Using Fluorescence Lifetime Imaging and Deep Learning in Lung Adenocarcinoma.

UNLABELLED: Accurate prediction of epidermal growth factor receptor (EGFR) mutations is essential fo...

Machine learning modeling to predict HCC locations in cirrhotic patients undergoing MRI - a proof-of-concept study.

PURPOSE: Current hepatocellular carcinoma (HCC) surveillance guidelines rely on manually defined LI-...

AI-Based Diagnostic Platform Capabilities With Lyme Disease as a Use Case: Integrative Exploration.

BACKGROUND: Lyme disease (LD) is the most common vector-borne disease in the United States. It is di...

Tri-Net: unified deep learning for skin lesion and symptom-based monkeypox detection.

The recent re-emergence of Monkeypox emphasizes the critical importance of ensuring precise and prom...

Transcriptomic characterization of key psoriasis-associated genes based on single-cell RNA-seq and machine learning.

BACKGROUND: Psoriasis is a multifaceted skin and systemic disorder driven by a complex interplay of ...