Artificial Intelligence Medical Compendium

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

Showing 1,171 to 1,180 of 200,346 articles

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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Predicting Depression Risk in Physically Inactive Older Adults Using Dietary Antioxidants and Machine Learning: A SHAP-Interpretable Analysis of NHANES.

CNS neuroscience & therapeutics
BACKGROUND: Physically inactive older adults represent a high-risk group for depression. However, whether dietary antioxidant intake profiles can help stratify depression risk within this population has not been well established. This study aims to e... read more 

Local Surrogate Models With Residual Fuzzy Rules for Model-Agnostic Explanations.

IEEE transactions on cybernetics
This study is concerned with the design of a linear regression model that contributes to local explanations of black-box regression models and a realization of fuzzy residual rules for enhancing the local fidelity (accuracy) of the linear explanation... read more 

Supervised deep learning with gene functional annotation for cell classification.

PLoS computational biology
Gene-by-gene differential expression analysis is a widely used supervised approach for interpreting single-cell RNA-sequencing (scRNA-seq) data. However, modern scRNA-seq datasets often contain large numbers of cells, leading to the identification of... read more 

Regularized regression in ultra-small chemometric datasets: A methodological case study using FTIR spectra of Schiff bases.

PloS one
This study is not intended to establish a predictive framework for reaction yield. Instead, it is framed as a methodological investigation examining the statistical behavior and instability of regularized regression techniques when applied to ultra-s... read more 

Canalization of neural dynamics by δ-protocadherins in the developing zebrafish optic tectum.

PLoS genetics
Brain dynamics are constrained by the underlying topology of neuronal networks. How genes collaborate to organize these neural networks during development remains an enduring mystery. In humans, large numbers of genes have been implicated in neurodev... read more 

Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.

PloS one
The growing sophistication of cyber threats and adversarial attacks poses critical challenges to the security and robustness of machine learning models deployed in real-world systems. While traditional deep learning architectures excel in clean data ... read more 

Human and Robot Assistance for Cognitive Load in Younger and Older Adults: Multimodal Within-Subject Experimental Study.

Journal of medical Internet research
BACKGROUND: Maintaining cognitive efficiency and independence is a central goal of healthy aging. Socially assistive robots (SARs) are increasingly proposed as scalable digital health solutions to support daily activities in older adults and to facil... read more