Artificial Intelligence Medical Compendium

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

Showing 62,691 to 62,700 of 230,507 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 

From Clusters to Outcomes: Machine Learning-Based Phenotyping in Intermediate-High-Risk Acute Pulmonary Embolism.

Pulmonary circulation
Intermediate-high-risk (IHR) pulmonary embolism (PE) represents a heterogeneous group in whom guideline-based criteria may insufficiently capture biologic and hemodynamic variability relevant to early deterioration. Data-driven phenotyping may improv... read more 

Peripheral Nerves in Cancer: Regulatory Roles and Therapeutic Strategies.

MedComm
Cancer neuroscience has emerged as a transformative frontier in oncology research, focusing on the interplay between cancer cells and the nervous system. Cancer cells establish tumorspecific neural networks within tumor tissues via neurotrophic hijac... read more 

Clinician preferences for explainable AI in critical care: a comparative study of interpretable models and visualizations for intubation decision support.

International journal of medical informatics
BACKGROUND: The complexity of many AI models hinders their clinical adoption because the clinicians using them do not regard them as transparent. This study addresses the lack of clinician-centered explainable AI (XAI) interfaces by designing and eva... read more 

Regression augmentation with data-driven segmentation.

Neural networks : the official journal of the International Neural Network Society
Imbalanced regression arises when the target distribution is skewed, causing models, especially neural networks, to focus on dense regions and struggle with underrepresented (minority) samples. Despite its relevance across many applications, few meth... read more