Artificial Intelligence Medical Compendium

This Letter to the Editor expands on Da Silva et al. (2025), who showed that realistic virtual environments enhance emotional engagement and sensory acceptance during beer consumption. We argue that virtual reality (VR) bridges experimental control a... read more 

The growing availability of publicly accessible Enterobacter genomes offers an opportunity to reveal the structure of its pangenome, uncovering the catalog of genes across the genus and their distribution across the different species and subspecies o... read more 

INTRODUCTION: Informed consent is fundamental to oncological surgery, but communication is often hindered by medical terminology, inconsistent explanations and variation in patient understanding. Large language models may improve accessibility by gen... read more 

The increasing complexity and individualization of oncologic diagnostics and therapy present new challenges for pathology. At the same time, artificial intelligence (AI) is evolving from a futuristic concept into a core area of digital medicine. With... read more 

This paper develops a Foucauldian analysis of artificial intelligence (AI) in medical diagnosis, arguing that AI introduces an "algorithmic gaze" that reshapes the epistemic and moral structure of clinical practice. By converting illness narratives i... read more 

Tests that can predict whether a drug is likely to extend mouse lifespan could speed up the search for anti-aging drugs. We have applied a machine learning algorithm, XGBoost regression, to seek sets of plasma metabolites (n = 12,000) and peptides (n... read more 

Faces created by artificial intelligence (AI) are now considered indistinguishable from real faces. Still, humans vary in their ability to detect these faces-a skill so novel it would have been useless a few years ago. We show that some individuals a... read more 

The development of the digital enzyme-linked immunosorbent assay (ELISA) has improved the detection of low-abundance protein biomarkers in biological samples, achieving a 1000-fold increase in sensitivity compared to conventional protein detection me... read more 

OBJECTIVE: Therapist assignment can have a profound impact on the success of counseling. Accordingly, we present a framework that combines archival data and computer science algorithms to match clients to therapists so that client outcomes are, on av... read more 

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