Artificial Intelligence Medical Compendium

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

Showing 20,871 to 20,880 of 216,088 articles

Entropy Sorting Feature Selection: information-theoretic gene set identification improves single-cell RNA sequencing data interpretability

bioRxiv
Single-cell RNA sequencing (scRNA-seq) has transformed our ability to resolve cellular heterogeneity, but extracting meaningful signals remains challenging due to technical noise and batch effects. Most methods for denoising scRNA-seq data have focus... read more 

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

medRxiv
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 

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

medRxiv
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 

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

medRxiv
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 

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

medRxiv
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 

A Deep Learning Framework for Spatiotemporal Modeling of Visual Task fMRI

bioRxiv
Characterizing the dynamic coordination of distributed brain regions during cognitive tasks remains challenging, as traditional fMRI analysis focuses on localized activations without revealing the underlying information flow that drives them. Here, w... read more 

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

bioRxiv
High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persistent discordance between mainstream platforms (SomaScan and Olink) routinely undermines the replication of findings. This platform-driven non-replicati... read more 

Cortical reconstruction and anatomical parcellation of high-resolution multi-modal postmortem ex vivo MRI of the human infant brain

bioRxiv
High-resolution postmortem (ex vivo) magnetic resonance imaging enables detailed examination of brain anatomy at spatial scales not achievable in vivo and provides a unique opportunity to link morphometric measurements with the underlying pathology. ... read more 

Understanding the mechanisms of lateral parietalmemory modulation in Mild Cognitive Impairment

bioRxiv
The application of transcranial magnetic stimulation (TMS) to lateral parietal cortex has shown promise in improving episodic memory in older adults with Mild Cognitive Impairment (MCI). Previous work has suggested that such improvements are achieved... read more 

Validation of an AI-Powered Automated Colony Analysis Platform Across Eight ISO Microbiological Methods: A Multi-Pathogen, Multi-Matrix Performance Study

bioRxiv
Manual colony counting remains the rate-limiting, operator-dependent step in culture-based food microbiology quality control (QC). Automated colony analysis using machine learning (ML) offers the potential to standardise, accelerate, and improve the ... read more