Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 202,214 articles

When algorithms testify: artificial intelligence-driven DNA analysis, evidentiary standards, and criminal justice reform.

Croatian medical journal
Forensic DNA analysis has already influenced criminal justice, and serves as a powerful tool for both conviction and exoneration. Despite its scientific foundations and wide application, DNA evidence is vulnerable to interpretive errors, methodologic... read more 

Alcohol consumers' receptivity to artificial intelligence-generated alcohol-cancer risk messages: An experimental study.

Cancer
BACKGROUND: Alcohol is a group 1 carcinogen linked to seven cancers, yet awareness of this risk remains low in the United State. Identifying effective alcohol-cancer communication strategies is a public health priority. The objective of this study wa... read more 

General-purpose large language models outperform specialized clinical AI tools on medical benchmarks.

Nature medicine
Specialized clinical artificial intelligence (AI) tools are entering medical practice despite scarce independent evaluation. We quantitatively evaluate two clinical AI tools, OpenEvidence and UpToDate Expert AI, built on large language models (LLMs) ... read more 

Artificial intelligence in pathology: a framework for preserving brain capital in the diagnostic apex.

Croatian medical journal
AIM: To present a five-criterion calibration framework for evaluating artificial intelligence (AI) tools in pathology centered on preserving "brain capital" - the finite cognitive resources available to clinicians - and stabilizing the "diagnostic ap... read more 

Factors associated with post-pornography masturbation among university students: a machine-learning study.

Sexual health
BACKGROUND: Pornography consumption is common among university students, yet little research has examined behavioral responses occurring immediately after exposure. Such behaviors may have implications for sexual health, behavioral conditioning and p... read more 

FENNEC: Fine-Tuned Ensemble Neural Networks Accelerate Chemically Modified siRNA Design and Screening

bioRxiv
Small interfering RNAs (siRNAs) are a clinically validated therapeutic modality, yet designing potent chemically modified siRNAs remains a costly and iterative process, limited by scarce public data. Computational prediction of siRNA efficacy is ther... read more 

Generative design of antigen-specific T-cell receptor sequences with a conditional diffusion model

bioRxiv
T cell receptor (TCR)-based immunotherapy holds immense potential for treating cancers and infectious diseases, where highly antigen-specific TCR recognition is crucial for adaptive immunity against tumors and pathogens. Engineering or de novo genera... read more 

Cellfm-datasets: A Unified Data Infrastructure for Single-Cell and Spatial Transcriptomics Foundation Model Pretraining

bioRxiv
Large-scale cell foundation models are increasingly limited not only by model architecture, but also by the data infrastructure required to repeatedly sample sparse transcriptomic profiles from out-of-core cohorts. AnnData/H5AD has become a standard ... read more 

OmicsNavigator: An auditable scientific partner for scalable hypothesis validation in spatial omics

bioRxiv
Translating high-dimensional, spatially resolved molecular datasets into testable biological findings remains a major research bottleneck. Here, we present OmicsNavigator, an autonomous large language model-powered system for end-to-end data explorat... read more 

Unlocking Your Programmable and Creative RNA Sequence Designer with RDiffusion

bioRxiv
As a cornerstone of the central dogma, RNA has both witnessed and actively shaped three billion years of evolution. Over this vast timescale, a remarkable diversity of RNA molecules has emerged, executing functions that extend far beyond traditional ... read more