Artificial Intelligence Medical Compendium

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

Showing 17,631 to 17,640 of 214,033 articles

Easy to use and low cost leaf disease quantification workflow using Ilastik

bioRxiv May 16, 2026
Accurate and reproducible assessment of foliar disease severity is essential for evaluating the performance of heterogeneous plant communities and understanding host-pathogen interactions. However, traditional visual scoring methods remain subjective... read more 
plant biology

Estimating the Presence and Abundance of Aedes Albopictus in Europe Using Neural Networks

bioRxiv May 16, 2026
Aedes albopictus is an invasive mosquito species transmitting dengue, chikungunya, Zika and other arboviruses. Its ongoing geographical expansion across Europe, driven by climate change, trade, human mobility and urbanisation, is increasing the risk ... read more 
ecology

Applications of adeno-associated virus for 3D single-cell morphometric analysis in iPSC-derived midbrain organoids.

bioRxiv May 16, 2026
Human midbrain organoids (hMBOs) are emerging in vitro models to mirror the cellular diversity and the structural complexity of the developing human brain. However, the dense neural network, limits the investigation of individual cell morphology or c... read more 
neuroscience

Biological foundation models illuminate annotation blind spots in evolutionarily divergent genomes

bioRxiv May 16, 2026
Chromosome-scale assemblies are increasingly available for non-model organisms, but functional annotation remains limited when deep evolutionary divergence erodes primary amino-acid sequence identity even though protein structural similarity can rema... read more 
bioinformatics

Beyond next-word prediction: hierarchical linguistic composition drives LLM-brain alignment in time

bioRxiv May 16, 2026
The internal representations of large language models (LLMs) correlate, or "align" , with human neural activity during language comprehension. One view holds that this alignment reflects shared sensitivity to statistical patterns in LLMs and humans, ... read more 
neuroscience

Genetic code expansion enables programmable covalent protein design

bioRxiv May 16, 2026
Covalent chemistry has transformed small-molecule drug discovery, yet analogous strategies for proteins remain largely inaccessible because covalent warheads cannot be readily integrated into biologics. Conventional genetic code expansion requires en... read more 
synthetic biology

Artificial intelligence-based decision support in simulated free flap Re-exploration for head and neck reconstruction. A case-based comparative study.

JPRAS open May 16, 2026
Free flap compromise after head and neck reconstruction requires rapid recognition and structured escalation. Large language models have shown potential for text-based clinical support, but their alignment with microsurgical decision-making in flap c... read more 

A portable source-informed machine learning framework for predicting heavy metals in legacy smelting sites with strong spatial heterogeneity.

Journal of hazardous materials May 16, 2026
Legacy smelting sites often exhibit strong point-source control, highly right-skewed concentration distributions, and pronounced vertical stratification, which together challenge reliable spatial prediction of heavy metals (HMs) from limited borehole... read more 

National-scale prediction of arsenic, fluoride and its co-occurrence in groundwater of Mexico: Implications for drinking-water.

Journal of hazardous materials May 16, 2026
Arsenic (As) and fluoride (F-) in groundwater pose significant health risks and frequently co-occur in arid and semi-arid settings. We assembled a dataset comprising 3403 As measurements and 2084 F- measurements for Mexico (44% and 24% above the WHO ... read more 

Machine Learning for Revision Joint Arthroplasty: A Systematic Review of Distinct Challenges, Current Performance, and Clinical Readiness.

Arthroplasty today May 16, 2026
BACKGROUND: Given the high complication rates and economic burden of revision total joint arthroplasty, machine learning (ML) models may offer a tool to improve outcomes. This study aims to review the application of ML for predicting outcomes followi... read more 
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