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Drug-Drug interactions and special considerations in breast cancer patients treated with CDK4/6 inhibitors: A comprehensive review.

Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) have reshaped the treatment paradigm of hormone rec...

Jun 2025 40367730
Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes.

In this study, we propose a conceptual framework of decision support tools, built upon machine learn...

(1)
Jun 2025 40239233
BenchXAI: Comprehensive benchmarking of post-hoc explainable AI methods on multi-modal biomedical data.

The increasing digitalization of multi-modal data in medicine and novel artificial intelligence (AI)...

Jun 2025 40239236
Interpretable phenotyping of Heart Failure patients with Dutch discharge letters

Objective: Heart failure (HF) patients present with diverse phenotypes affecting treatment and pro...

Compressing Sine-Activated Low-Rank Adapters through Post-Training Quantization

Low-Rank Adaptation (LoRA) has become a standard approach for parameter-efficient fine-tuning, off...

PreP-OCR: A Complete Pipeline for Document Image Restoration and Enhanced OCR Accuracy

This paper introduces PreP-OCR, a two-stage pipeline that combines document image restoration with...

Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation

Segmentation is one of the most important tasks in the medical imaging pipeline as it influences a...

A Longitudinal Analysis of Experiences with Semaglutide Across Twitter User Subpopulations

User experience significantly impacts pharmaceutical drug effectiveness. Social media platforms, p...

Soft-CAM: Making black box models self-explainable for high-stakes decisions

Convolutional neural networks (CNNs) are widely used for high-stakes applications like medicine, o...

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T2I-ConBench: Text-to-Image Benchmark for Continual Post-training

Continual post-training adapts a single text-to-image diffusion model to learn new tasks without i...

Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models

The widespread adoption of encrypted communication protocols such as HTTPS and TLS has enhanced da...

Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC

The increasing deployment of Large Language Models (LLMs) on edge devices, driven by model advance...

Machine learning in colorectal polyp surveillance: A paradigm shift in post-endoscopic mucosal resection follow-up.

Colorectal cancer remains a major health concern, with colorectal polyps as key precursors. Endoscop...

May 2025 40497087
Unsupervised post-training learning in spiking neural networks.

The human brain is a dynamic system that is constantly learning. It employs a combination of various...

May 2025 40399359
EPIC: Explanation of Pretrained Image Classification Networks via Prototype

Explainable AI (XAI) methods generally fall into two categories. Post-hoc approaches generate expl...

A Step towards Interpretable Multimodal AI Models with MultiFIX

Real-world problems are often dependent on multiple data modalities, making multimodal fusion esse...

Patient-specific uncertainty calibration of deep learning-based autosegmentation networks for adaptive MRI-guided lung radiotherapy.

Uncertainty assessment of deep learning autosegmentation (DLAS) models can support contour correctio...

May 2025 40340988
Detecting Adverse Drug Events in Clinical Notes Using Large Language Models.

Monitoring adverse drug events (ADEs) is critical for pharmacovigilance and patient safety. However,...

May 2025 40380603
Quantifying Area Back Scatter of Marine Organisms in the Arctic Ocean by Machine Learning-Based Post-Processing of Volume Back Scatter.

As the sea ice reduces in both extent and thickness and the Arctic Ocean opens, there is substantial...

May 2025 40431913
Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

May 2025 40428136
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