AI Medical Compendium

A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis.

Nature medicine Aug 19, 2025

Identifying a reliable biomarker for amyotrophic lateral sclerosis (ALS) is crucial for clinical practice. Here, in this cross-sectional study, we used the Olink Explore 3072 platform to investigate plasma proteomics as a biomarker tool for this neur... read more

Knowledge-GPT Guided Generalizable Reinforcement Learning for Intelligent Emergency Generator Tripping in Power System.

IEEE transactions on neural networks and learning systems Aug 19, 2025

Emergency control is essential for ensuring transient stability in power systems after faults. This study addresses the limitations in existing methods by proposing a knowledge-generative pretrained transformer (GPT)-guided generalizable reinforcemen... read more

InfiniteTalk: Audio-driven Video Generation for Sparse-Frame Video Dubbing

arXiv Aug 19, 2025

Recent breakthroughs in video AIGC have ushered in a transformative era for audio-driven human animation. However, conventional video dubbing techniques remain constrained to mouth region editing, resulting in discordant facial expressions and body... read more

Computer Vision and Pattern Recognition

CT-based auto-segmentation of multiple target volumes for all-in-one radiotherapy in rectal cancer patients.

Radiation oncology (London, England) Aug 19, 2025

Effectiveness of generative artificial intelligence-based teaching versus traditional teaching methods in medical education: a meta-analysis of randomized controlled trials.

BMC medical education Aug 19, 2025

BACKGROUND: Artificial intelligence (AI) has demonstrated remarkable capabilities across diverse medical applications, potentially revolutionizing healthcare delivery systems. This systematic review and meta-analysis investigated the comparative effe... read more

Humans Artificial Intelligence Students, Medical Generative Artificial Intelligence Randomized Controlled Trials as Topic Education, Medical Teaching

Evaluation of sports teaching quality in universities based on fuzzy decision support system.

Scientific reports Aug 19, 2025

Sports teaching in universities relies on staff experience, training modes., evaluated by the student's performance and competitive outcomes. The teaching quality assessment requires a large volume of data related to teaching patterns, training. A Te... read more

Humans Decision Support Techniques Universities Fuzzy Logic Sports Teaching

Clinical prediction of sodium valproate-induced movement disorders in hospitalized patients: a nomogram-based model using real-world data.

International journal of clinical pharmacy Aug 19, 2025

INTRODUCTION: Drug-induced movement disorders (DIMDs) are often underrecognized and challenging to diagnose and manage in clinical practice. Sodium valproate (VPA), a widely prescribed antiepileptic drug, causes DIMDs. Predictive modeling based on el... read more

Clinical risk assessment of serum creatinine abnormalities during vancomycin therapy: a retrospective study using machine learning models.

International journal of clinical pharmacy Aug 19, 2025

INTRODUCTION: Vancomycin is a widely used antibiotic for the treatment of serious Gram-positive bacterial infections. However, its clinical utility is often limited by the risk of nephrotoxicity, typically reflected by abnormalities in serum creatini... read more

LENS: Learning to Segment Anything with Unified Reinforced Reasoning

arXiv Aug 19, 2025

Text-prompted image segmentation enables fine-grained visual understanding and is critical for applications such as human-computer interaction and robotics. However, existing supervised fine-tuning methods typically ignore explicit chain-of-thought... read more

Computer Vision and Pattern Recognition Artificial Intelligence

Scaling up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations.

IEEE transactions on pattern analysis and machine intelligence Aug 19, 2025

This paper proposes the paradigm of large convolutional kernels in designing modern Convolutional Neural Networks (ConvNets). We establish that employing a few large kernels, instead of stacking multiple smaller ones, can be a superior design strateg... read more

Artificial Intelligence Medical Compendium