Artificial Intelligence Medical Compendium

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

Showing 211 to 220 of 212,780 articles

Neocortical astrocyte diversity stems from distinct developmental origins

bioRxiv Jul 20, 2026
Key regulators of neural network activity in multiple advanced cognitive processes and essential components of the blood-brain barrier, astrocytes constitute a highly heterogeneous population at the morphological, molecular, and functional levels. Ho... read more 
neuroscience

Diversity and evolution of the transcriptional regulatory networks of Pseudomonas strains revealed using machine learning

bioRxiv Jul 20, 2026
The genus Pseudomonas consists of diverse and ecologically significant species that form close associations with both plants and animals. This genus is widely studied due to the clinically relevant Pseudomonas aeruginosa, model plant pathogen Pseudom... read more 
systems biology

Calibrated Alzheimer's Conversion Risk in Mild Cognitive Impairment: Persistent Homology of Clinical Trajectories with Conformal Guarantees

arXiv Jul 20, 2026
Background. Predicting conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is central to trial enrichment and care planning, yet existing models provide no individual-level uncertainty estimates and rarely include transparent ... read more 
Machine Learning stat.ML

Bio-SFT: Asymmetric Cortical Guidance and Retinal Adaptation for Robust HDR Reconstruction

arXiv Jul 20, 2026
Recovering high dynamic range (HDR) radiance from a single standard dynamic range (SDR) image is highly ill-posed. Extreme luminance variation and severe quantization in dark regions make accurate reconstruction challenging, often leading to visual a... read more 
Computer Vision and Pattern Recognition

DA-MergeLoRA: Hypernetwork-Based LoRA Merging for Few-Shot Test-Time Domain Adaptation

arXiv Jul 20, 2026
Few-shot Test-Time Domain Adaptation (FSTT-DA) seeks to adapt models to novel domains using only a handful of unlabeled target samples. This setting is more realistic than typical domain adaptation setups, which assume access to target data during so... read more 
Computer Vision and Pattern Recognition cs.LG

TraversRL: Traversable Pedestrian Pathway Generation With Reinforcement Learning

arXiv Jul 20, 2026
Automatically generating pedestrian pathways from aerial images requires producing a connected network suitable for routing, not just detecting where sidewalks appear. Sidewalks and crossings, in contrast to roads, may be partially occluded, implicit... read more 
Computer Vision and Pattern Recognition

Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting

arXiv Jul 20, 2026
Regional climate prediction presents unique challenges for time series foundation models, which typically process temporal patterns through single-pass inference. Expert climatologists, in contrast, employ multi-scale temporal analysis and iterative ... read more 
Machine Learning

Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare

arXiv Jul 20, 2026
We introduce Retrieval-Augmented Interpretable Learning (RAIL), a probabilistic meta-learning framework for zero-shot generation of task-specific interpretable models that synthesizes coefficient-space structure from natural-language task description... read more 
Machine Learning cs.AI

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

arXiv Jul 20, 2026
Neural simulation-based inference enables parameter estimation for complex models, but typically requires the user to specify a simulator encoding a fixed model structure. We present a framework for joint model selection and parameter estimation that... read more 
Machine Learning stat.ML

Hierarchy-Aware and Anatomy-Guided Learning for Lung Ultrasound Video Classification

arXiv Jul 20, 2026
Lung ultrasound (LUS) is a bedside tool for assessing pulmonary edema in patients at risk due to heart failure or impaired kidney function. However, automated LUS analysis remains challenging because of speckle noise, imaging artifacts, and operator-... read more 
Computer Vision and Pattern Recognition cs.AI
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