Artificial Intelligence Medical Compendium

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

Showing 41,651 to 41,660 of 223,853 articles

Nodule-Aligned Latent Space Learning with LLM-Driven Multimodal Diffusion for Lung Nodule Progression Prediction

arXiv Mar 16, 2026
Early diagnosis of lung cancer is challenging due to biological uncertainty and the limited understanding of the biological mechanisms driving nodule progression. To address this, we propose Nodule-Aligned Multimodal (Latent) Diffusion (NAMD), a nove... read more 
Computer Vision and Pattern Recognition

Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification

arXiv Mar 16, 2026
Applying machine learning to sensitive time-series data is often bottlenecked by the iteration loop: Performance depends strongly on preprocessing and architecture, yet training often has to run on-premise under strict data-local constraints. This is... read more 
Machine Learning cs.AI

Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation

arXiv Mar 16, 2026
Automated diagnosis from chest computed tomography (CT) scans faces two persistent challenges in clinical deployment: distribution shift across acquisition sites and performance disparity across demographic subgroups. We address both simultaneously a... read more 
Computer Vision and Pattern Recognition

A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Histopathology

arXiv Mar 16, 2026
Histopathology foundation models (HFMs), pretrained on large-scale cancer datasets, have advanced computational pathology. However, their applicability to non-cancerous chronic kidney disease remains underexplored, despite coexistence of renal pathol... read more 
Computer Vision and Pattern Recognition

Standardizing Medical Images at Scale for AI

arXiv Mar 16, 2026
Deep learning has achieved remarkable success in medical image analysis, yet its performance remains highly sensitive to the heterogeneity of clinical data. Differences in imaging hardware, staining protocols, and acquisition conditions produce subst... read more 
Image and Video Processing cs.AI physics.optics

Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech

arXiv Mar 16, 2026
Dysarthric speech quality assessment (DSQA) is critical for clinical diagnostics and inclusive speech technologies. However, subjective evaluation is costly and difficult to scale, and the scarcity of labeled data limits robust objective modeling. To... read more 
Audio and Speech Processing cs.AI cs.LG

RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation

arXiv Mar 16, 2026
Radiology report annotation is essential for clinical NLP, yet manual labeling is slow and costly. We present RadAnnotate, an LLM-based framework that studies retrieval-augmented synthetic reports and confidence-based selective automation to reduce e... read more 
Computation and Language cs.AI cs.LG

Representation learning of single-cell RNA-seq data.

RNA (New York, N.Y.) Mar 16, 2026
Single-cell RNA sequencing (scRNA-seq) has become a cornerstone experimental technique in tissue biology, with gene expression data for over 100 million cells available in public repositories. The high dimensionality, sparsity, and technical noise in... read more 

Deep learning for RNA secondary structure determination: gauging generalizability and broadening the scope of traditional methods.

RNA (New York, N.Y.) Mar 16, 2026
The diverse regulatory functions, protein production capacity, and stability of natural and synthetic RNAs are closely tied to their ability to fold into intricate structures. Determining RNA structure is thus fundamental to RNA biology and bioengine... read more 

Comprehensive Multiomics Characterization of Perineural Invasion in Cervical Cancer Reveals Diagnostic Markers, Molecular Drivers, and Therapeutic Strategies.

Cancer research Mar 16, 2026
UNLABELLED: Perineural invasion (PNI) is an important pathologic feature of cervical cancer that is associated with poor prognosis and provides key information for clinical decisions. A better understanding of the molecular mechanisms underlying PNI ... read more 
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