Artificial Intelligence Medical Compendium

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

Showing 1,951 to 1,960 of 200,859 articles

Rapid autofluorescence based 3D optical imaging of the pancreatic cancer milieu at mesoscopic scale - stain-free volumetric segmentation.

Scientific reports
Although major advances have been made in the field of mesoscopic imaging and associated tissue clearing protocols, these applications are greatly challenged when applied to imaging of pancreatic ductal adenocarcinoma (PDAC) tissue. Most importantly,... read more 

Deep learning algorithm for automatic detection of acute ischemic stroke on noncontrast brain CT.

Scientific reports
This study aimed to evaluate the diagnostic performance of a deep learning-based algorithm for detecting acute ischemic stroke (AIS), including small infarcts, on non-contrast computed tomography (NCCT). A retrospective, multi-reader, pivotal, crosso... read more 

Integrating ontology and knowledge graphs for intelligent assessment and feedback in E-learning systems.

Scientific reports
In many online courses, assessment is still reduced to a numerical score accompanied by brief, generic feedback. Learners with different difficulties often receive similar responses, while instructors have limited support for identifying at-risk stud... read more 

A Nonlinear Multi-Objective Prediction Strategy for Small-Sample Datasets in Homogeneous Catalysis.

Journal of computational chemistry
The development of homogeneous catalytic reactions is hindered by the resource-intensive nature of traditional experimental and computational methods, particularly when dealing with small, sparse datasets and complex multi-objective optimization. Whi... read more 

Prevalence and Predictors of Non-Exclusive Breastfeeding at Hospital Discharge in Uruguay.

Journal of human lactation : official journal of International Lactation Consultant Association
BACKGROUND: The prescription of infant formula during postpartum hospitalization is one of several factors that influence breastfeeding. RESEARCH AIMS: To analyze the prevalence of non-exclusive breastfeeding at hospital discharge in Uruguay, a Latin... read more 

A century of coffee and tea research in cognitive health and Alzheimer's disease: Structural, thematic, and translational insights (1911-2025).

Journal of Alzheimer's disease : JAD
BackgroundAlthough studies have explored tea and coffee in relation to Alzheimer's disease, no century-scale analysis has jointly examined both within a unified primary-evidence framework.ObjectiveThis study maps the structural, thematic, and tempora... read more 

Multimodal machine learning for early risk stratification of post-stroke cognitive impairment.

Journal of Alzheimer's disease : JAD
BackgroundPost-stroke cognitive impairment (PSCI) is a major vascular contributor to dementia, significantly impacting long-term recovery and quality of life. Developing accurate prediction models are essential for early identification and timely int... read more 

Machine Learning-Enhanced SERS Sensor Using Microgroove Structures for Enriching and Confining Nanoplastics in Localized 3D Hotspots.

Analytical chemistry
Trace detection of nanoplastics (NPs) is limited by random analyte deposition and poor contact with hotspots. A major hurdle for on-site monitoring is the precise localization of enriched analytes. To address these challenges, we developed a 3D Ag/In... read more 

pKa Predicting Models Trained with a Tautomer-Compatible Graph Dataset with Quantum Chemical Features.

Journal of chemical information and modeling
G-pKa, a database of 6379 experimental pKa values and QM properties from more than 39000 structures, and pKa predicting models are presented. The data include molecular, atomic, and interatomic properties and are organized as graphs, enabling their u... read more 

Computing Anharmonic Free Energies in Solids with Machine-Learning Interatomic Potentials.

The journal of physical chemistry letters
Accurate free energies are essential for understanding phase stability and constructing phase diagrams, yet harmonic and quasiharmonic approximations become increasingly inaccurate at elevated temperatures, while thermodynamic integration remains com... read more