AI Medical Compendium

Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancer.

Radiological physics and technology Jun 3, 2026

This study compared a dose-volume histogram-based machine learning (ML) approach with a three-dimensional dose distribution-based convolutional neural network (CNN) approach for volumetric-modulated arc therapy planning in head and neck cancer (HNC).... read more

NphosNet: Predicting Protein N-Phosphorylation Sites via xLSTM and Enhanced PLM Features with a Weighted Three-Channel Cross-Attention Mechanism.

Interdisciplinary sciences, computational life sciences Jun 3, 2026

Protein phosphorylation, a pivotal post-translational modification mechanism, plays essential roles in cellular signaling and disease regulation. While O-phosphorylation has been extensively investigated, the biological significance of N-phosphorylat... read more

MeDiCNet: Integrating Multi-scale Dynamic Convolution and Enhanced Position-Aware Transformer for DNA Methylation Site Prediction.

Interdisciplinary sciences, computational life sciences Jun 3, 2026

DNA methylation is a covalent modification of cytosine and adenine bases that regulates gene expression and underlies diverse biological processes and diseases. Existing computational methods often rely on fixed-scale feature extraction or static pos... read more

Development and validation of a machine learning-based clinical decision support tool for stratifying intravenous medication risk in hospitalized patients with heart failure.

International journal of clinical pharmacy Jun 3, 2026

INTRODUCTION: Hospitalized patients with heart failure (HF) frequently receive multiple high-risk intravenous (IV) medications, placing them at a substantial risk of clinically significant drug-related problems (DRPs). Timely severity-based stratific... read more

The impact of scan time on dynamic [Formula: see text]-FAPI-04 total-body PET parametric imaging generated by deep learning models.

EJNMMI physics Jun 3, 2026

PURPOSE: To date, some studies have employed deep learning techniques to directly generate dynamic positron emission tomography (PET) parametric images from static PET. Compared with traditional methods, this approach requires only a single PET/compu... read more

Limits of Artificial Intelligence Models for Skin Cancer Diagnosis in Realistic Settings.

JAMA dermatology Jun 3, 2026

IMPORTANCE: Artificial intelligence (AI) systems for skin cancer detection perform well in controlled settings but frequently underperform in everyday clinical practice, raising critical questions about their readiness for deployment. OBJECTIVE: To c... read more

Ferroelectric-Polarization-Modulated 2D Floating-Gate Memory Enabling a 106 On/Off Ratio under ±1 V Gate-Voltage Sweep.

Nano letters Jun 3, 2026

Floating-gate transistors based on 2D materials have attracted great interest owing to their superior memory characteristics and high reliability. However, most reported devices still suffer from high operating voltages, limited multifunctionality, e... read more

Single-cell sequencing in systemic lupus erythematosus.

Lupus Jun 3, 2026

BackgroundSystemic lupus erythematosus (SLE) is a complex autoimmune disease characterized by heterogeneous clinical manifestations and multi-organ involvement. Current understanding of SLE pathogenesis remains limited, particularly due to the cellul... read more

Comparative effectiveness and cost-effectiveness of an artificial intelligence workflow for small renal mass diagnosis on computed tomography.

Urology practice Jun 3, 2026

INTRODUCTION: Small renal masses are increasingly detected on imaging, but their accurate classification as benign, indolent, or aggressive remains challenging. Such classification can aid further diagnostic work up, improving patient outcomes and sa... read more

Biomarker-driven and AI-assisted nanomedicine for breast cancer: advancing precision drug delivery from bench to bedside.

Expert opinion on drug delivery Jun 3, 2026

INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pronounced molecular heterogeneity demanding therapeutic strategies that transcend conventional systemic chemotherapy toward tumor-selective, molecularl... read more

Artificial Intelligence Medical Compendium