Hospital-Based Medicine

Intensivists

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

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Showing 1744-1764 of 6,177 articles
An approach to rapidly assess sepsis through multi-biomarker host response using machine learning algorithm.

Sepsis is a life-threatening condition and understanding the disease pathophysiology through the use...

Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort.

BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...

TSU-net: Two-stage multi-scale cascade and multi-field fusion U-net for right ventricular segmentation.

Accurate segmentation of the right ventricle from cardiac magnetic resonance images (MRI) is a criti...

Compressing deep graph convolution network with multi-staged knowledge distillation.

Given a trained deep graph convolution network (GCN), how can we effectively compress it into a comp...

dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis.

BACKGROUND: Functional imaging especially the SPECT bone scintigraphy has been accepted as the effec...

A stochastic modeling approach for analyzing water resources systems.

Many uncertain factors exist in the water resource systems, leading to dynamic characteristics of th...

Multi-EPL: Accurate multi-source domain adaptation.

Given multiple source datasets with labels, how can we train a target model with no labeled data? Mu...

Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning.

In two-thirds of intensive care unit (ICU) patients and 90% of surgical patients, arterial blood pre...

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.

Large, fine-grained image segmentation datasets, annotated at pixel-level, are difficult to obtain, ...

COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network.

BACKGROUND: COVID-19 diagnosis in symptomatic patients is an important factor for arranging the nece...

Attention-Based Multi-Scale Convolutional Neural Network (A+MCNN) for Multi-Class Classification in Road Images.

Automated pavement distress recognition is a key step in smart infrastructure assessment. Advances i...

MSF-Net: Multi-Scale Feature Learning Network for Classification of Surface Defects of Multifarious Sizes.

In the field of surface defect detection, the scale difference of product surface defects is often h...

A Deep Neural Network-Based Multi-Frequency Path Loss Prediction Model from 0.8 GHz to 70 GHz.

Large-scale fading models play an important role in estimating radio coverage, optimizing base stati...

Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit.

Interpretability is fundamental in healthcare problems and the lack of it in deep learning models is...

Low-Light Image Enhancement Based on Multi-Path Interaction.

Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven ...

Learning Deep Global Multi-Scale and Local Attention Features for Facial Expression Recognition in the Wild.

Facial expression recognition (FER) in the wild received broad concerns in which occlusion and pose ...

Pixel-wise body composition prediction with a multi-task conditional generative adversarial network.

The analysis of human body composition plays a critical role in health management and disease preven...

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

Multi-omics data are good resources for prognosis and survival prediction; however, these are diffic...

Multi-Modal Adaptive Fusion Transformer Network for the Estimation of Depression Level.

Depression is a severe psychological condition that affects millions of people worldwide. As depress...

Second-order multi-instance learning model for whole slide image classification.

Whole slide histopathology images (WSIs) play a crucial role in diagnosing lymph node metastasis of ...

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