Hospital-Based Medicine

Intensivists

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

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Showing 1912-1932 of 6,177 articles
Multi-assignment clustering: Machine learning from a biological perspective.

A common approach for analyzing large-scale molecular data is to cluster objects sharing similar cha...

M Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging.

To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role ...

MS-CAM: Multi-Scale Class Activation Maps for Weakly-Supervised Segmentation of Geographic Atrophy Lesions in SD-OCT Images.

As one of the most critical characteristics in advanced stage of non-exudative Age-related Macular D...

Multi-objective regression test suite optimization using three variants of adaptive neuro fuzzy inference system.

In the process of software development, regression testing is one of the major activities that is do...

Transfer learning with chest X-rays for ER patient classification.

One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (A...

Direct Quantification of Coronary Artery Stenosis Through Hierarchical Attentive Multi-View Learning.

Quantification of coronary artery stenosis on X-ray angiography (XRA) images is of great importance ...

Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network.

Fully convolutional neural networks have made promising progress in joint liver and liver tumor segm...

Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis.

The automatic diagnosis of various retinal diseases from fundus images is important to support clini...

Artificial intelligence and multi agent based distributed ledger system for better privacy and security of electronic healthcare records.

BACKGROUND: Application of Artificial Intelligence (AI) and the use of agent-based systems in the he...

A Customizable Analysis Flow in Integrative Multi-Omics.

The number of researchers using multi-omics is growing. Though still expensive, every year it is che...

Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning.

Predicting compounds with single- and multi-target activity and exploring origins of compound specif...

Risk factors and socio-economic burden in pancreatic ductal adenocarcinoma operation: a machine learning based analysis.

BACKGROUND: Surgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). How...

Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks.

BACKGROUND: The identification of early mild cognitive impairment (EMCI), which is an early stage of...

Multi-task convolutional neural network-based design of radio frequency pulse and the accompanying gradients for magnetic resonance imaging.

Modern MRI systems usually load the predesigned RFs and the accompanying gradients during clinical s...

Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.

Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute r...

DMMAN: A two-stage audio-visual fusion framework for sound separation and event localization.

Videos are used widely as the media platforms for human beings to touch the physical change of the w...

Prognostic Assessment of COVID-19 in the Intensive Care Unit by Machine Learning Methods: Model Development and Validation.

BACKGROUND: Patients with COVID-19 in the intensive care unit (ICU) have a high mortality rate, and ...

SSP: Early prediction of sepsis using fully connected LSTM-CNN model.

BACKGROUND: Sepsis is a life-threatening condition that occurs due to the body's reaction to infecti...

Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.

BACKGROUND: Sepsis is a heterogenous syndrome and individualized management strategy is the key to s...

Artificial Intelligence in the Intensive Care Unit.

The diffusion of electronic health records collecting large amount of clinical, monitoring, and labo...

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