Artificial Intelligence Medical Compendium

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

Showing 4,511 to 4,520 of 174,001 articles

LBONet: Supervised Spectral Descriptors for Shape Analysis.

IEEE transactions on pattern analysis and machine intelligence
The Laplace-Beltrami operator has established itself in the field of non-rigid shape analysis due to its many useful properties such as being invariant under isometric transformation, having a countable eigensystem forming an orthornormal basis, and ... read more 

Construction of A Novel 5-Dye Fluorescent Multiplex System With 30 Y-STRs for Patrilineal Relationship Prediction.

Electrophoresis
Nowadays, Y chromosome short tandem repeats (Y-STRs) are widely used in forensic medicine practice, which has great significance for ancestry tracing, male lineage evolution, and male paternal relatives. Rapidly mutating Y-STRs (RM Y-STRs) have been ... read more 

Deep Learning Model for Breast Shear Wave Elastography to Improve Breast Cancer Diagnosis (INSPiRED 006): An International, Multicenter Analysis.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
PURPOSE: Shear wave elastography (SWE) has been investigated as a complement to B-mode ultrasound for breast cancer diagnosis. Although multicenter trials suggest benefits for patients with Breast Imaging Reporting and Data System (BI-RADS) 4(a) brea... read more 

Computational optimization of 3D printed bone scaffolds using orthogonal array-driven FEA and neural network modeling.

Scientific reports
Today, orthopedic surgeons have been continuously focusing on bone tissue engineering for regenerating damaged bone through the use of biomimetic scaffolds and innovative materials. Hence, this study presents a comprehensive investigation into the op... read more 

Translating Artificial Intelligence Breakthroughs into Cancer Diagnostic Breakthroughs.

Cancer discovery
The revolution of artificial intelligence has yet to find its way into clinical practice in oncology. We highlight eight specific challenges, focused on diagnostics, that will enable this translation once they are adequately addressed. read more 

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph

arXiv
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes that capture energy-dependent attenuation properties. Attenuation refer... read more 

Intelligent identification analysis and process design for highly similar categories using Platycerium as an example.

Scientific reports
This study tackles the challenge of image recognition for datasets with high inter-class similarity, using 18 native Platycerium species as a case study. Due to their substantial visual similarities, initial training with ResNet50 yielded a baseline ... read more 

Predicting hydrocarbon presence in marine cold seep sediments using machine learning models trained with benthic bacterial 16S rRNA taxonomy.

Microbiology spectrum
UNLABELLED: Hydrocarbon seepage in marine sediments exerts selective pressure on benthic microbiomes. Accordingly, microbial community composition in these sediments can reflect the presence of hydrocarbons, with specific groups being more prolific i... read more 

Cancer care coordination determinants of depression in head and neck cancer survivors.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
PURPOSE: This study aims to explore the role of patient-reported cancer care coordination in explaining depression among head and neck (HNC) cancer survivors. read more 

A cutting-edge ensemble model for enhanced underwater image restoration and quality improvement.

Scientific reports
Underwater image enhancement poses unique challenges due to poor visibility, color distortion, and haze caused by light absorption and scattering in water. In this paper, we propose an ensemble model, Ensemble Pyramid-based Convolutional Neural Netwo... read more