Artificial Intelligence Medical Compendium

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

Showing 44,741 to 44,750 of 224,055 articles

Cognitive reinforcement: capturing tacit knowledge and enhancing expertise with a biofeedback interface for visual attention.

Journal of neural engineering
Objective.Tacit or implicit knowledge refers to know-how that experts possess but often cannot articulate, codify, or explicitly transfer to others. This can present a significant challenge for learning, skill acquisition, and knowledge transfer acro... read more 

Supramolecular Plasmonic Nanogap Engineering for Machine Learning Decoded Multiplex Chiral Amino Acid SERS Analysis.

Analytical chemistry
Chiral recognition sensing is pivotal in pharmaceutical synthesis and biomedical applications, yet three key challenges persist: the inability to simultaneously achieve high-resolution identification and characterization of enantiomers, insufficient ... read more 

In Situ-Grown Zeolitic Imidazolate Framework-8@Mg-Fe Layered Double-Hydroxide Heterostructure with Enhanced Adsorption Properties: Insights from Experimental and Computational Investigations.

Langmuir : the ACS journal of surfaces and colloids
The removal of organic pollutants, especially dyes, from wastewater remains a critical environmental challenge. Metal-organic frameworks (MOF) and layered double hydroxides (LDH) have individually demonstrated a strong adsorption potential for organi... read more 

An introduction to GitHub and its significance for AI-Driven drug discovery.

Expert opinion on drug discovery
INTRODUCTION: GitHub has become essential to AI-driven drug discovery by facilitating code sharing, collaboration, and reproducible workflows. As more tools for screening, modeling, and data-driven decision-making are hosted on GitHub, researchers ne... read more 

Machine Learning-Enhanced TCAB Score for Predicting Postoperative Ischemic Stroke After CABG.

Journal of the American Heart Association
BACKGROUND: Postoperative acute ischemic stroke remains a critical complication of coronary artery bypass grafting. This study aimed to develop a novel Total Cerebral Atherosclerosis Burden (TCAB) score for predicting the risk of AIS post-coronary ar... read more 

Electric Field-Guided Biomimetic Mineralization of Enamel via Interfacial Engineering of Nanostructured HAp/PDA Coatings with Anisotropy and Enhanced Hardness.

ACS biomaterials science & engineering
Human enamel is a hierarchically organized hydroxyapatite biomineral, but it lacks regenerative capacity, motivating interfacial engineering strategies that control mineral growth at the enamel surface. This work examines an electric-field-assisted b... read more 

Artificial Intelligence-Enhanced Optimization of Wireless Breath Sensor Arrays for Detection of Lung Cancer Using Fuzzy Logic-Guided Genetic Algorithm and Multimodal Machine Learning.

ACS sensors
Early detection of lung cancer remains critical for improving patient survival, yet current imaging-based screening methods are costly, invasive, and limited in accessibility. Here, we present a fully integrated wireless breath sensing platform that ... read more 

Peak Oxygen Uptake Prediction From Resting and Submaximal Variables of Cardiopulmonary Exercise Testing.

Journal of the American Heart Association
BACKGROUND: Cardiorespiratory fitness, as measured by peak oxygen uptake during cardiopulmonary exercise testing, is a prognostic indicator. We aim to predict peak oxygen uptake from submaximal variables on cardiopulmonary exercise testing to assess ... read more 

Selective Sensing of Hydrogen and Ammonia Using a Single CMOS-Compatible Sensor and Transfer Learning Methods.

ACS sensors
The development of high-performance gas sensors is crucial for ensuring safety and efficiency in the emerging hydrogen economy, particularly for detecting hydrogen (H2) and ammonia (NH3), which are essential for hydrogen storage, transportation, and ... read more 

Deep generative molecular design and its value in modern drug discovery.

Expert opinion on drug discovery
INTRODUCTION: Deep generative models are reshaping de novo drug design by enabling creation of novel, property-optimized molecules beyond traditional chemical libraries. Advances in deep learning, molecular representation learning, and structure-awar... read more