Artificial Intelligence Medical Compendium

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

Showing 18,521 to 18,530 of 214,544 articles

How to Enhance the Learning of Veterinary Anatomy by Drawing?

Journal of veterinary medical education
The disappearance of spontaneous student-generated drawings in examinations induced us to start developing anatomical drawing tasks that would be useful learning aids in veterinary medical education. Through a series of drawing workshops, we aimed to... read more 

Tracking Byproducts Lithium Methoxide in Li-Ion Batteries via Interface-Stabilized Perovskite Quantum Dots-Based Sensors.

ACS sensors
Monitoring internal electrolyte decomposition byproducts is pivotal for the early warning of thermal runaway in lithium-ion batteries yet remains a formidable challenge due to the harsh chemical environment. Herein, we engineer a robust electrochemic... read more 

From Flow to Feature Using a Proof-of-Concept Spectral-Driven Machine Learning Approach Using Smart Urinary and Drainage Catheter Systems: Algorithm Development and Validation.

JMIR medical informatics
BACKGROUND: Current urinary and drainage catheter systems collect fluids for visual inspection or manual sampling, offering limited diagnostic value while being labor-intensive and prone to error. Machine learning (ML) has the potential to automate t... read more 

Maturity, Safety, and Equity of AI-Enabled Systems and Triage in Integrated Primary Care.

Journal of medical Internet research
Artificial intelligence (AI)-enabled systems must simultaneously improve the Quintuple Aim and digital health maturity, including equitable access to and quality and interoperability of data, tools, agents, and services. This requires a comprehensive... read more 

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

PLOS digital health
Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fracture risk. We explored the potential of a retinal aging biomarker, measured by the RetiAGE algorithm, in stratifying osteoporosis risk. Cross-sectional a... read more 

Interpretable prediction of dynamic compressive strength of red sandstone under wetting-drying cycles using ensemble learning.

PloS one
With geotechnical engineering facing more complex environmental challenges, accurately predicting the mechanical behavior of rocks under dynamic loading becomes essential for maintaining structural safety. In this study, the dynamic compressive stren... read more 

Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review.

JMIR AI
BACKGROUND: Clinical notes are the most abundant data type within electronic health records; however, their highly unstructured format presents significant challenges for supervised natural language processing (NLP) methods. The NLP community is incr... read more 

Loss function influence on hyperparameter optimization for observational healthcare prediction models.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: Prediction models are increasingly used in healthcare for risk stratification and personalized care. Many models are developed using machine learning, which requires tuning hyperparameters to maximize performance based on a chosen loss fu... read more 

Integrating horizontal-vertical heterogeneity and environmental factors to unravel heavy metal distributions and phytoaccumulation in a soil-maize system.

Journal of hazardous materials
Oasis farmlands are the core grain production carrier in arid regions, where soil heavy metal contamination directly threatens regional agricultural product safety and resident health. This study developed an integrated framework of stratified spatia... read more