Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,711 to 3,720 of 169,519 articles

Text Embedded Swin-UMamba for DeepLesion Segmentation

arXiv
Segmentation of lesions on CT enables automatic measurement for clinical assessment of chronic diseases (e.g., lymphoma). Integrating large language models (LLMs) into the lesion segmentation workflow offers the potential to combine imaging feature... read more 

Light in, sound keys out: photoacoustic PUFs from stochastic nanocomposites.

Nature communications
We present a concept of physically unclonable functions utilizing the photoacoustic effect to generate structurally random, inference-resistant cryptographic keys. The system consists of a CuO/SnO₂ nanoparticle composite, where CuO acts as a visible-... read more 

Critical factors for carbon fixation efficiency in semiconductor-biohybrid systems: insights from a meta-analysis.

Bioresource technology
Semiconductor biohybrid systems are emerging as promising strategies for enhanced carbon dioxide fixation and synthesis of organic compounds, with the potential to transcend biological limitations. However, the effects of experimental variables on th... read more 

A data driven framework for optimizing droplet microfluidics with residual block and Fourier enhanced networks.

Scientific reports
Droplet-based microfluidic devices enable the generation of uniform droplets with precise control over size and production rate-key factors in diagnostics and pharmaceutical screening. Achieving such control is essential for enhancing efficiency and ... read more 

Benchmarking Pretrained Molecular Embedding Models For Molecular Representation Learning

arXiv
Pretrained neural networks have attracted significant interest in chemistry and small molecule drug design. Embeddings from these models are widely used for molecular property prediction, virtual screening, and small data learning in molecular chem... read more 

A hybrid reinforcement learning and knowledge graph framework for financial risk optimization in healthcare systems.

Scientific reports
Effective financial risk management in healthcare systems requires intelligent decision-making that balances treatment quality with cost efficiency. This paper proposes a novel hybrid framework that integrates reinforcement learning (RL) with knowled... read more 

An Interpretable Multi-Plane Fusion Framework With Kolmogorov-Arnold Network Guided Attention Enhancement for Alzheimer's Disease Diagnosis

arXiv
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely impairs cognitive function and quality of life. Timely intervention in AD relies heavily on early and precise diagnosis, which remains challenging due to the complex... read more 

Higher Order Regularization using Harmonic Eigenfunctions for Model-Based Reconstruction in Magnetic Particle Imaging

arXiv
Magnetic Particle Imaging (MPI) is a recent imaging modality where superparamagnetic nanoparticles are employed as tracers. The reconstruction task is to obtain the spatial particle distribution from a voltage signal induced by the particles. Gener... read more 

UR$^2$: Unify RAG and Reasoning through Reinforcement Learning

arXiv
Large Language Models (LLMs) have shown remarkable capabilities through two complementary paradigms: Retrieval-Augmented Generation (RAG), which enhances knowledge grounding, and Reinforcement Learning from Verifiable Rewards (RLVR), which optimize... read more 

Neural Field Representations of Mobile Computational Photography

arXiv
Over the past two decades, mobile imaging has experienced a profound transformation, with cell phones rapidly eclipsing all other forms of digital photography in popularity. Today's cell phones are equipped with a diverse range of imaging technolog... read more