Artificial Intelligence Medical Compendium

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

Showing 2,971 to 2,980 of 168,416 articles

Distribution of interscan measurement error in AI-based 3D MRI analysis of knee cartilage thickness in osteoarthritis.

PloS one
PURPOSE: A novel AI-based 3D analysis system was developed to automatically extract bone and cartilage from MRI data and provide average cartilage thickness. This study aimed to analyze the interscan measurement error of knee cartilage thickness in o... read more 

Instantaneous center of rotation, the first step to build up the digital laboratory of complex motions.

PloS one
Calculating instantaneous centers of rotation to describe combined rotational and translational motions has a long history in many fields of applied science and basic rigid body kinematics. However, only some theoretical studies have explored the fun... read more 

Robust skeletal motion tracking using temporal and spatial synchronization of two video streams.

PloS one
Accurate and reliable skeletal motion tracking is essential for rehabilitation monitoring, enabling objective assessment of patient progress and facilitating telerehabilitation applications. Traditional marker-based motion capture systems, while high... read more 

A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework.

PloS one
This work proposes a new hybrid model for joint indoor localization and activity recognition by combining a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model with a Markov Random Field (MRF) for better classification. The CNN-GRU succ... read more 

Advancing smart communities with a deep learning framework for sustainable resource management.

PloS one
BACKGROUND: The rapid development of urban systems and rising requirements for sustainable development lift resource management issues in smart communities. A fundamental problem for contemporary communities involves effectively using energy and wate... read more 

GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics.

PloS one
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data, necessitating intelligent systems to monitor driver behavior and identify route anomalies. Traditional techniques struggle to capture the dynamic sp... read more 

Spontaneous Surface Charging and Janus Nature of the Hexagonal Boron Nitride-Water Interface.

Journal of the American Chemical Society
Boron, nitrogen, and carbon are neighbors in the periodic table and can form strikingly similar twin structures─hexagonal boron nitride (hBN) and graphene─yet nanofluidic experiments demonstrate drastically different water friction on them. We invest... read more 

Microbes in Fermentation: Guardians or Threats to Food Safety?

Journal of agricultural and food chemistry
Fermentation plays a pivotal role in food preservation, with fermentative microbes enhancing food safety and stability. However, improper conditions can introduce risks. This perspective examines the dual role of microbes (the benefits of fermentativ... read more 

Fast Multi-Dimensional Imaging Using the Unsupervised 3D Noise2Void Denoising Network.

Analytical chemistry
Label-free multidimensional imaging techniques are widely used in biological imaging. Among them, Raman imaging and phase imaging are two representative methods. However, Raman signals are inherently weak, leading to low signal-to-noise ratios (SNR) ... read more 

From Formability to Bandgap: Machine Learning Accelerates the Discovery and Application of Perovskite Materials.

ACS nano
Perovskite materials are considered promising candidates for applications in solar cells, photodetectors, catalysts, and light-emitting diodes, owing to their exceptional physicochemical and structural properties. Recently, the integration of machine... read more