Artificial Intelligence Medical Compendium

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

Showing 17,281 to 17,290 of 213,726 articles

Machine-guided design for bioengineering gene therapy vectors: Where are we and what lies ahead?

Biotechnology advances
As viral vectors consolidate their role as leading vehicles in therapeutic gene delivery, the demand for finely engineered variants with optimized properties continues to intensify. Computational approaches have emerged as powerful enablers of this e... read more 

Machine Learning-Based Study on Xin-Pi Simultaneous Treatment Formula via Drug Nanodelivery Systems Regulating Macrophage Polarization and TEAD2/PKM2 Synergistic Repair Strategy in Myocarditis.

SLAS technology
BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechanisms including immune dysregulation and metabolic disorders. The Traditional Chinese Medicine (TCM) theory of "simultaneous treatment of heart and sple... read more 

Evaluating Retrieval-Augmented Generation for Guideline-Grounded Textual Planning in Implant Dentistry: A Comparative Study.

Journal of dentistry
OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability of large language models (LLMs) in implant dentistry. METHODS: A domain-specific knowledge base was c... read more 

Spatio-temporal reconstruction of early brain developmental trajectories via self-supervised learning.

Medical image analysis
Charting the normative and atypical trajectories of the brain's rapid early-life reorganization is crucial for understanding neurodevelopment. Although magnetic resonance imaging (MRI) enables high-resolution visualization of the structural and funct... read more 

Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability

arXiv
Manual Pap smear analysis for cervical cancer screening is limited by inter-observer variability, time constraints, and restricted expert availability. Although convolutional neural networks (CNNs) have automated cervical cell classification, they re... read more 

Image-to-Video Diffusion: From Foundations to Open Frontiers

arXiv
Diffusion-based \textit{image-to-video} (I2V) generation has become a central direction in generative models by turning a reference image, with optional conditions, into a temporally coherent video. Compared with broader video generation settings, th... read more 

Towards Principled Test-Time Adaptation for Time Series Forecasting

arXiv
Test-time adaptation (TTA) has recently emerged as a promising approach for improving time series forecasting (TSF) under distribution shift. Existing TSF-TTA methods differ in how they utilize revealed targets, yet the resulting adaptation protocols... read more 

How Do Electrocardiogram Models Scale?

arXiv
While scaling laws have established a fundamental framework for foundation models in natural language processing, their applicability to electrocardiogram (ECG) models remains poorly characterized. Indeed, recent studies do not always yield consisten... read more 

HyperVision: A Channel-Adaptive Ground-Based Hyperspectral Vision Pre-trained Backbone

arXiv
While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, ground-based hyperspectral pre-trained backbones remain absent, constrained by varying spectral con... read more