Artificial Intelligence Medical Compendium

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

Showing 7,581 to 7,590 of 207,466 articles

Electronic health record and artificial intelligence: frontiers and challenges.

Journal of the American Dental Association (1939)
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The role of machine learning, deep learning, and MRI findings in the classification of pediatric posterior fossa tumors.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: Pediatric posterior fossa tumors represent a major subset of childhood central nervous system neoplasms; however, overlapping MRI features often hinder accurate non-invasive characterization. This study aimed to evaluate machine learning (ML... read more 

Examining Selection Dynamics and Limitations in Multi-round Protein Selection of High Diversity Libraries.

Protein engineering, design & selection : PEDS
Proteins and peptides underpin essential biological functions and technological applications, from targeting disease-relevant interactions to providing broad enzymatic activities. However, engineering molecules with desired properties remains difficu... read more 

Reproducibility, validation, and failure modes across classical and AI-driven molecular docking.

Journal of computer-aided molecular design
Molecular docking is indispensable across computer‑aided discovery. However, its conclusions often hinge more on modeling choices than on software brand or nominal score. In this review, we argue that docking should be treated explicitly as condition... read more 

Dictionary Learning Methods for Brain Activity Mapping with MEG Data.

Brain topography
A central goal in many brain studies is the identification of those brain regions that are activated during an observation window that may correspond to a motor task, a stimulus, or simply a resting state. While functional MRI is currently the most c... read more 

Exploring the Relationship Between Emotion and Bodily Activity With Machine Learning.

Psychophysiology
Human experiences of bodily activity relate to their emotional state; however, exactly how is yet to be fully explored. We aim to conceptually model this relationship between bodily activity and subjective emotional experience using machine learning ... read more 

MALICoT: A pilot cross-sectional study analyzing the effects of power training and age on endomysium content and fiber area in the soleus muscle of adult males.

Physiological reports
The cross-sectional Master Athletic Laboratory Study of Intramuscular Connective Tissue (MALICoT, DRKS00015764) examined effects of athletic exercise and age on endomysium content in human soleus muscle. Forty-three clinically healthy male participan... read more 

Numerical Inverse Design of Patient-Specific Dental Implants: Accelerating FEA-Based Optimization via Evolutionary Neural Surrogates.

International journal for numerical methods in biomedical engineering
Mechanical complications in dental implantology often arise from a mismatch between standardized geometries and patient-specific anatomical constraints. While high-fidelity finite element analysis (FEA) is the gold standard for identifying these risk... read more 

Partial Differential Equation (PDE)-Based Spatial Pharmacometrics in NONMEM: Method of Lines (MOL) Implementation with AI-Assisted Model Development.

Journal of clinical pharmacology
Spatial heterogeneity in drug distribution, particularly within solid tumors, compromises target engagement, yet is rarely represented in population pharmacokinetic analyses. Standard "well-stirred" models fail to capture intratumoral gradients. Reac... read more 

How Artificial Intelligence Is Changing Neonatal Care.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses
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