Artificial Intelligence Medical Compendium

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

Showing 58,831 to 58,840 of 227,876 articles

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
BACKGROUND AND PURPOSE: To extend the previously reported geometric analysis of HaN-Seg: The Head and Neck Organ-at-Risk CT and MR Segmentation Challenge by integrating a dosimetric evaluation, thereby offering a comprehensive assessment of challenge... read more 

Development and Evaluation of an Automated Robotic System for Full Crown Preparation.

Journal of dentistry
OBJECTIVES: To develop a robotic system for full crown tooth preparation and to evaluate its preparation accuracy and operation time. METHODS: The robotic system comprised a robotic arm, an infrared optical tracking system, and proprietary planning/c... read more 

Artificial intelligence and sleep medicine.

Respiratory medicine
Artificial intelligence (AI) has become a significant part of everyday life. This is evident in features such as personalized product recommendations that rely on user data and the widespread use of virtual assistants. Over the past decade, AI has be... read more 

Deep learning-assisted spectral technology monitoring the preservation effect of sodium octenyl succinate starch co-loaded with cinnamaldehyde and carvacrol microcapsules for pork.

International journal of biological macromolecules
Green encapsulation materials prevent meat spoilage and quality deterioration by providing sustainable protection, which plays a crucial role in enhancing meat freshness. Therefore, sodium octenyl succinate starch (OSA starch) co-loaded with cinnamal... read more 

Machine learning-based LASSO-Cox model for dementia prediction: the role of midlife cardiometabolic, inflammatory, and genetic risk factors in a US cohort.

Annals of epidemiology
PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. METHODS: Using data from 9,266 Atherosclerosis Risk in Communities study participants (aged 45-64 years at baselin... read more 

Computational prediction and SLN formulation of Narcissin for reverse transcriptase inhibition and controlled drug delivery applications.

Nanomedicine : nanotechnology, biology, and medicine
The aim of this paper was to construct a stable drug delivery mechanism of Narcissin, which is phytoconstituent of Aerva lanata that has Reverse Transcriptase potential of anti-breast cancer. The Rand Forest Classifier was the most successful machine... read more 

Organotypic Retinal Explant Culture as a Model for Neuroretinal Degenerative Disease and Future Applications.

The American journal of pathology
Organotypic retinal explant cultures are a valuable experimental tool for investigating neuroretinal diseases and advancing therapeutic strategies. Ex vivo methods preserve the natural architecture and intercellular interactions of the retina whilst ... read more 

Explainable artificial intelligence system using a convolutional neural network for designing major connectors of removable partial denture framework.

Journal of prosthodontic research
PURPOSE: This study aimed to develop an artificial intelligence (AI) system using a convolutional neural network (CNN) to design major connectors for removable partial denture (RPD) frameworks. Unlike rule-based or case-matching expert systems, the p... read more 

Molecular dynamics study of catalytic H2/O2 recombination on Pd, Pt, Cu, Ag, and Au nanoclusters using the universal neural network potential.

Chemical science
The H2/O2 catalytic recombination reaction, essential for safely utilizing hydrogen energy, was simulated rapidly and accurately using the molecular dynamics (MD) simulation with a machine-learning potential known as the 'universal neural network pot... read more 

HelixSide: A Comprehensive Method for Local and Global Orientational Analysis of Proteins.

Journal of chemical information and modeling
Understanding the relative orientation of protein secondary structure elements is crucial for elucidating their tertiary organization, function, and interactions. Here, we introduce HelixSide, a comprehensive method for systematically quantifying geo... read more