Artificial Intelligence Medical Compendium

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

Showing 52,651 to 52,660 of 225,341 articles

Agentic artificial intelligence in ophthalmology: Toward autonomous, adaptive, and ethical eye care.

Acta ophthalmologica
Agentic artificial intelligence (AI) represents a new generation of intelligent systems capable of autonomous goal-directed reasoning, dynamic decision-making, and coordinated action. Unlike conventional task-specific algorithms, agentic AI systems c... read more 

Deterministic Evolution of Aptamers via a Microfluidic-Integrated Robotic Platform Using Complex Exosomes as Targets.

ACS nano
Exosome (EXO) membrane proteins are attractive biomarkers for liquid biopsy, yet their heterogeneity makes it difficult to develop reliable antibody-based recognition reagents. Aptamers provide high-affinity and highly specific alternatives through t... read more 

Update on Non-Biological and RNA-Based Therapeutics in Chronic Inflammatory Diseases: Precision Medicine Through Small Molecules.

Allergy
In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic inflammatory diseases towards unprecedented target specificity. For allergic and chronic lung diseases, b... read more 

Neuromorphic photonic computing with an electro-optic analog memory.

Nature communications
In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC). However, data movement between memory and these converters in conve... read more 

Cross ionization mode chemical similarity prediction between tandem mass spectra in metabolomics.

Nature communications
Mass spectrometry is a cornerstone of untargeted metabolomics, enabling the characterization of metabolites in both positive and negative ionization modes. However, comparisons across ionization modes have remained a substantial challenge due to the ... read more 

Hybrid vision transformer and graph neural network model with region-adaptive attention for enhanced skin cancer prediction.

Scientific reports
A well-known and potentially lethal skin cancer requires prompt detection and diagnosis. Complex spatial linkages and global contextual information in skin lesion photos challenge CNNs and other deep learning methods. Given these restrictions, we pre... read more 

Machine learning based variance estimation under two phase sampling using health and education sector data.

Scientific reports
This study proposes a novel variance estimator [Formula: see text]under two-phase sampling, utilizing one auxiliary variable and one binary attribute to enhance estimation efficiency. Theoretical properties of the estimator were obtained, such as the... read more 

Low resource federated learning for classification of nail disease by deploying cross-silo and heterogeneously dataset distributions.

Scientific reports
Nail diseases, including such common conditions as fungus, and more serious issues like melanoma, may be important clues to the overall health and require a clear diagnosis to be treated. The purpose of the paper is to create a nail disease detection... read more 

Image processing pipeline for AI-driven nanoparticle megalibrary characterization.

Scientific reports
Recent innovations have made it possible to produce megalibraries, millions of structurally and compositionally distinct nanoparticles on a chip. These megalibraries yield vast volumes of data that are impossible to analyze manually, necessitating th... read more