Artificial Intelligence Medical Compendium

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

Showing 44,881 to 44,890 of 224,055 articles

Uncertainty-aware hybrid deep generative framework for robust and explainable drug discovery.

BMC bioinformatics
Conventional techniques in drug discovery are time-consuming and less accurate due to the vast chemical space and associated uncertainty. Artificial intelligence and machine learning have introduced new methods to improve the drug discovery process. ... read more 

Integration of grey relational analysis and deep neural networks for optimized dental shade selection in aesthetic restorations.

Journal of prosthodontics : official journal of the American College of Prosthodontists
PURPOSE: To develop and validate an integrated system combining grey relational analysis (GRA) with deep neural networks (DNNs) for personalized oral aesthetic color optimization, and to evaluate its performance compared to traditional color selectio... read more 

A Pulse-Test-Based Method for Predicting Lithium Battery DRT Curves and State Estimation.

ACS applied materials & interfaces
Distribution of relaxation times (DRT) curves for lithium batteries facilitates the analysis of internal dynamics and polarization characteristics, offering substantial model interpretability. Furthermore, they serve as valuable tools for estimating ... read more 

Unlocking plant abiotic stress resilience through biostimulants and omics-driven innovations.

Journal of integrative plant biology
Frequent changes in global climate enhance environmental cues, threaten agricultural systems, which jeopardizes food security, and impair the achievements of the United Nations Sustainable Development Goal 2 "Zero Hunger". To achieve a sustainable pa... read more 

Interpretable Machine Learning to Decipher Myelodysplastic Syndrome-Associated Alterations of the Extracellular Matrix by Time-of-Flight Secondary Ion Mass Spectrometry.

Journal of the American Society for Mass Spectrometry
Machine learning (ML) accelerates progress in many areas, including biomedical and clinical research. ML algorithms provide powerful options for efficiently analyzing multivariate data sets. We developed and validated an ML pipeline to detect myelody... read more 

How Service Robot Anthropomorphism and Employee Self-Efficacy Shape Collaborative Performance.

Cyberpsychology, behavior and social networking
This study aims to elucidate the mechanisms through which service robot anthropomorphism and employee self-efficacy influence human-robot collaborative performance in the service industry. A conceptual model was developed in which perceived usefulnes... read more 

Artificial Intelligence in Mammography Screening: A Narrative Review of Progress, Pitfalls, and Potential.

The British journal of radiology
Artificial intelligence (AI), particularly deep learning (DL), is transforming the field of medical imaging and holds substantial promise for advancing breast cancer screening. This narrative review explores current and emerging AI applications in ma... read more 

Three-Dimensional Burrowing Behavior of Earthworms for Ecotoxicological Studies.

Environmental science & technology
Earthworm behavioral biomarkers provide more sensitive and comprehensive assessments for environmental contaminants. However, natural soil opaqueness has limited understanding of the continuous three-dimensional (3D) characteristics of earthworm burr... read more