Artificial Intelligence Medical Compendium

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

Showing 61,361 to 61,370 of 229,091 articles

Using Expert-Cited Features to Detect Leg Dystonia in Cerebral Palsy.

Annals of neurology
OBJECTIVES: Leg dystonia in cerebral palsy (CP) is debilitating but remains underdiagnosed. Routine clinical evaluation has only 12% accuracy for leg dystonia diagnosis compared to gold-standard expert consensus assessment. We determined whether expe... read more 

Programming Interfacial Polymerization: Machine Learning Unveils Quantitative Rational Design Rules for Microcapsules and Beyond.

Advanced materials (Deerfield Beach, Fla.)
Interfacial polymerization (IP) serves as a versatile platform technology for designing polymeric membranes, yet its extension to applications such as microencapsulation (MIP) remains hindered by empirical methodologies, largely due to the absence of... read more 

Deep Learning-Based Event Classification of Mass Photometry Data for Optimal Mass Measurement at the Single-Molecule Level.

ACS nano
Mass photometry (MP) is a powerful technique for studying biomolecular structures, interactions, and dynamics in solution. It detects and quantifies small reflectivity changes at a glass-water interface during protein (un)binding, with signals typica... read more 

Comparability between AI and human cognition and its role in psychological research and AI ethics.

British journal of psychology (London, England : 1953)
With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and int... read more 

Analytical Approaches for the Determination of Lidocaine and Its Metabolites: A Comprehensive Insight.

Critical reviews in analytical chemistry
Lidocaine (LID), an amide-type local anesthetic and antiarrhythmic agent, remains one of the most extensively used drugs in medical, dental, and surgical practice owing to its rapid onset, potent analgesic activity, and reversible nerve-blocking effe... read more 

Learning Longitudinal Health Representations from EHR and Wearable Data

arXiv
Foundation models trained on electronic health records show strong performance on many clinical prediction tasks but are limited by sparse and irregular documentation. Wearable devices provide dense continuous physiological signals but lack semantic ... read more 

DiffusionQC: Artifact Detection in Histopathology via Diffusion Model

arXiv
Digital pathology plays a vital role across modern medicine, offering critical insights for disease diagnosis, prognosis, and treatment. However, histopathology images often contain artifacts introduced during slide preparation and digitization. Dete... read more 

Proc3D: Procedural 3D Generation and Parametric Editing of 3D Shapes with Large Language Models

arXiv
Generating 3D models has traditionally been a complex task requiring specialized expertise. While recent advances in generative AI have sought to automate this process, existing methods produce non-editable representation, such as meshes or point clo... read more 

An Innovative Framework for Breast Cancer Detection Using Pyramid Adaptive Atrous Convolution, Transformer Integration, and Multi-Scale Feature Fusion

arXiv
Breast cancer is one of the most common cancers among women worldwide, and its accurate and timely diagnosis plays a critical role in improving treatment outcomes. This thesis presents an innovative framework for detecting malignant masses in mammogr... read more