Artificial Intelligence Medical Compendium

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

Showing 57,891 to 57,900 of 227,388 articles

Learning temporal embeddings from electronic health records of chronic kidney disease patients

arXiv
We investigate whether temporal embedding models trained on longitudinal electronic health records can learn clinically meaningful representations without compromising predictive performance, and how architectural choices affect embedding quality. Mo... read more 

Health-SCORE: Towards Scalable Rubrics for Improving Health-LLMs

arXiv
Rubrics are essential for evaluating open-ended LLM responses, especially in safety-critical domains such as healthcare. However, creating high-quality and domain-specific rubrics typically requires significant human expertise time and development co... read more 

Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia

arXiv
This paper presents a feasibility study demonstrating that quantum machine learning (QML) algorithms achieve competitive performance on real-world medical imaging despite operating under severe constraints. We evaluate Equilibrium Propagation (EP), a... read more 

Machine learning-driven nanoparticle-enhanced paper chromogenic array sensor approach for detecting sub-lethally injured Salmonella in low moisture food.

Food research international (Ottawa, Ont.)
Detection of sub-lethally injured pathogens is critical for improving food safety, particularly given regulatory recommendations that microbiological method validation include 50-80% injured cells. In food matrices like low moisture foods (LMFs), inj... read more 

Qualitative identification of Bombyx batryticatus and its counterfeits using hyperspectral imaging and deep learning.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Bombyx batryticatus, an important medicinal animal material in the traditional medicinal systems of China, Japan, and Korea, is in high demand due to its unique medicinal value. However, the widespread circulation of counterfeit Bombyx batryticatus (... read more 

Physics-informed neural networks in water and wastewater systems: a critical review.

Water research
Physics-Informed Neural Networks (PINNs) represent a hybrid modeling paradigm that embeds governing physical laws, expressed as partial differential equations (PDEs), directly into neural network training. This integration enables models to respect f... read more 

Immune system up-regulation in securely attached infants during early childhood.

Brain, behavior, & immunity - health
Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficiently understood. This study examined whether attachment relationships are associated with mucosal im... read more 

Precision probiotic development based on gut microbial biomarkers: from mechanistic insights to clinical translation.

Food & function
The intricate interplay between individualized differences in gut microbiota and host health has garnered significant attention in contemporary biomedical research. This review elucidates the complex mechanisms governing the development of personaliz... read more 

From Joint Cognitive Systems to Human-AI Joint Cognitive Systems: A Theory Critique and Application to Obstetric Anesthesia Risk Assessment.

Nursing science quarterly
This article examines the joint cognitive systems framework as a foundation for understanding human-machine collaboration. Using Meleis's theory evaluation model, we describe its origins, principles, and applications and then critique its strengths a... read more 

De novo design of potent CRISPR-Cas13 inhibitors.

Nature chemical biology
CRISPR-Cas systems are transformative tools for gene editing that can be tuned or controlled by anti-CRISPRs (Acrs)-phage-derived inhibitors that regulate CRISPR-Cas activity. However, Acrs that can inhibit biotechnologically relevant CRISPR systems ... read more