Artificial Intelligence Medical Compendium

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

Showing 40,251 to 40,260 of 223,737 articles

Effects of similarity networks in graph-based multi-omics classification.

PloS one
Accurate classification of disease subtypes is a fundamental requirement of precision medicine especially for complex and heterogeneous conditions such as breast cancer and Alzheimer's disease. Recent advances in graph-based deep learning have shown ... read more 

Energy-efficient path planning for Robotic Bulkhead Inspection using Residual-Enhanced UKF and Hierarchical MPC.

PloS one
Ultrasonic thickness inspection of ship bulkheads poses significant challenges due to confined spaces, dynamic obstacles, and highly variable environments. This paper presents a novel autonomous robotic arm control framework tailored for such conditi... read more 

An entropy-initiated coupled-trait ODE framework for modeling longitudinal cohort dynamics.

PloS one
This work introduces a minimal, information-theoretic dynamical framework for modeling longitudinal cohort data using an entropy-initiated system of coupled-trait ordinary differential equations (ECTO). For each survey wave, item-level Likert respons... read more 

The relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older adults across stages 0-3 of cardiovascular-kidney-metabolic syndrome: evidence from NHANES and CHARLS.

Cardiorenal medicine
BACKGROUND: Sarcopenia has been proved to be associated with cardiovascular diseases, chronic kidney disease, and metabolic disorders, but the relationship between sarcopenia and all-cause and cardiovascular mortality risk among middle-aged and older... read more 

From Hearing Patterns to Functional Outcomes: Quantifying Audiometric Profiles for Precision Hearing Care.

Audiology & neuro-otology
BACKGROUND: Hearing aid (HA) outcomes vary substantially among patients with similar hearing loss (HL) severity, suggesting that traditional pure-tone average (PTA) measures inadequately capture clinically relevant heterogeneity. We investigated whet... read more 

A Novel Chemometric Local Approach for Qualitative and Quantitative Analysis of Cocaine, MDMA, and THC-Related Products: Method Application within the Mossos d'Esquadra (Catalan Regional Police).

Analytical chemistry
A novel chemometric protocol integrating near-infrared (NIR) spectroscopy with advanced classification and regression models for the qualitative and quantitative analysis of illicit drugs, implemented by the Catalan Regional Police, the Mossos d'Esqu... read more 

Breaking the Air-Water Paradigm: Ion Behavior at Hydrophobic Solid-Water Interfaces.

Journal of the American Chemical Society
Hydrophobic solid-water interfaces underpin processes in nanofluidics, electrochemistry, and energy technologies. Microscopic insights into these systems are often inferred from our understanding of the air-water interface, which is assumed to exhibi... read more 

Developing a Cross-Device Platform for Robotic Systems in Nursing Care: Mixed Methods Feasibility Study.

JMIR nursing
BACKGROUND: Aging populations and rising chronic illness prevalences are increasing demands for nursing care, while staff shortages threaten care quality. Robotics offer potential support, yet usability, workflow integration, and user acceptance rema... read more 

Multitask Contrastive Learning with Attention Mechanisms for Neuropeptide Prediction Using ESM Representations.

ACS synthetic biology
Neuropeptides are endogenous signaling molecules that regulate diverse physiological and cognitive processes. However, reliable identification from primary sequence remains challenging due to high sequence diversity, weak motif conservation, and the ... read more 

Questionnaires on Perceptions of Artificial Intelligence in Health Care Among Health Care Students: Cross-Cultural Translation Into French and Linguistic Validation.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care by enhancing diagnostic accuracy, optimizing clinical workflows, and supporting decision-making across all health disciplines. As AI-driven tools are progressively introduce... read more