Artificial Intelligence Medical Compendium

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

Showing 21,071 to 21,080 of 216,348 articles

LIME: a fully automated pipeline for high-throughput quantification of leaf lesions

bioRxiv May 10, 2026
Accurate quantification of leaf lesion severity is essential for plant disease research and phenotyping but is often limited by subjective visual scoring and time-intensive manual image analysis. We present LIME, a fully automated, open-source image ... read more 
plant biology

Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language

bioRxiv May 10, 2026
Recent research has used large language models (LLMs) to study the neural basis of naturalistic language processing in the human brain. LLMs have rapidly grown in complexity, leading to improved language processing capabilities. However, neuroscience... read more 
neuroscience

Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes

bioRxiv May 10, 2026
Identifying cancer driver genes and their therapeutic impact remains a core challenge in computational cancer biology. We introduce xNNDriver and xAEDriver, two interpretable neural network frameworks that connect cancer mutations with genome-wide De... read more 
bioinformatics

Integrative taxonomy using traits and genomic data for Species Delimitation with Deep learning

bioRxiv May 10, 2026
Recognizing species boundaries in complex speciation scenarios, including those involving gene flow and demographic fluctuations, remains a challenge, particularly given the diversity of existing species concepts. Promising recent approaches adopt an... read more 
evolutionary biology

The German National Cohort: Ophthalmological Assessment, Baseline Profile and Potential for AI-based Eye Research

medRxiv May 10, 2026
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO) / NAKO Gesundheitsstudie, to report the baseline profile of participants undergoing ophthalmological assessment, and to illustrate the potential of th... read more 
ophthalmology

Healthcare workers' acceptance of artificial intelligence in cardiac diagnosis: Implications for medical education and training programs

medRxiv May 10, 2026
Background The integration of artificial intelligence (AI) in cardiology requires healthcare worker acceptance for successful implementation. Understanding attitudes and educational needs is crucial for developing effective training programs. Methods... read more 
cardiovascular medicine

MISP-Bench: Decomposing User-Provided False Priors into Answer, Rationale, and Guard Effects

medRxiv May 10, 2026
Large language models in clinical and educational settings routinely receive user-provided context containing incorrect prior beliefs. Existing benchmarks measure aggregate susceptibility to such priors but do not disentangle which structural compone... read more 
health informatics

Artificial intelligence for detecting bipolar disorder in electronic health records of patients with affective diagnoses: a diagnostic accuracy study

medRxiv May 10, 2026
Background: Bipolar disorder (BD) is frequently underdiagnosed, particularly in patients presenting with depressive disorders, leading to delays in appropriate treatment. Artificial intelligence (AI) applied to electronic health records (EHRs) may im... read more 
psychiatry and clinical psychology

Multi-dimensional MRI representation and privileged learning approaches to functional outcome prediction for ischemic stroke patients.

NPJ digital medicine May 10, 2026
Accurate prediction of long-term functional outcomes for stroke patients remains a clinical challenge, despite advances in diagnostics and treatments. Most machine learning (ML) and artificial intelligence (AI) outcome prediction models lack robust s... read more 

Rethinking scale in ophthalmic artificial intelligence: from bigger models to smarter clinical reasoning.

NPJ digital medicine May 10, 2026
Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains limited. We argue that progress should move beyond data and model scaling toward trustworthy, skill-efficient systems that integrate multimodal evidence,... read more 
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