Hospital-Based Medicine

Intensivists

Latest AI and machine learning research in intensivists for healthcare professionals.

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Showing 274-294 of 6,135 articles
A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

Radiomic analysis based on machine learning of multi-sequences MR to assess early treatment response in locally advanced nasopharyngeal carcinoma.

ObjectiveThe prediction of early response in locally advanced nasopharyngeal carcinoma (LA-NPC) afte...

Study on Spark Image Detection for Abrasive Belt Grinding via Transfer Learning with YOLOv8.

Aiming to solve the problems of low precision and poor efficiency caused by relying on manual experi...

MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images.

Synthetic aperture radar (SAR) ship detection holds significant application value in maritime monito...

Sculpting molecules in text-3D space: a flexible substructure aware framework for text-oriented molecular optimization.

The integration of deep learning, particularly AI-Generated Content, with high-quality data derived ...

Analysis of collapse risks under cut and cover method based on multi-state fuzzy Bayesian network.

The collapse accidents under cut and cover method in metro station construction occurred frequently,...

MLDA-Net: Multi-Level Deep Aggregation Network for 3D Nuclei Instance Segmentation.

Segmentation of cell nuclei from three-dimensional (3D) volumetric fluorescence microscopy images is...

Progressive Distillation With Optimal Transport for Federated Incomplete Multi-Modal Learning of Brain Tumor Segmentation.

Multi-modal Magnetic Resonance Imaging (MRI) provide sufficient complementary information for brain ...

Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks.

The multi-modal neuroimage study has provided insights into understanding the heteromodal relationsh...

A Lesion-Fusion Neural Network for Multi-View Diabetic Retinopathy Grading.

As the most common complication of diabetes, diabetic retinopathy (DR) is one of the main causes of ...

PMMNet: A Dual Branch Fusion Network of Point Cloud and Multi-View for Intracranial Aneurysm Classification and Segmentation.

Intracranial aneurysm (IA) is a vascular disease of the brain arteries caused by pathological vascul...

Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

In the context of contemporary artificial intelligence, increasing deep learning (DL) based segmenta...

MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis.

Significant advances have been made in the application of attention mechanisms to medical image segm...

Rapid detection and identification of plastic waste based on multi-wavelength laser Raman spectroscopy combining machine learning methods.

Plastic waste has become a significant environmental concern, necessitating advancements in recyclin...

M-DeepAssembly: enhanced DeepAssembly based on multi-objective multi-domain protein conformation sampling.

BACKGROUND: Association and cooperation among structural domains play an important role in protein f...

Enriching patient populations in ICU trials: reducing heterogeneity through machine learning.

PURPOSE OF REVIEW: Despite the pivotal role of randomized controlled trials (RCTs) in critical care ...

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