Critical Care

Latest AI and machine learning research in critical care for healthcare professionals.

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Evaluation of Hemodialysis Arteriovenous Bruit by Deep Learning.

Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site...

Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction.

There is a need to develop an accurate and reliable model for predicting suspended sediment load (SS...

Generalizable fully automated multi-label segmentation of four-chamber view echocardiograms based on deep convolutional adversarial networks.

A major issue in translation of the artificial intelligence platforms for automatic segmentation of ...

Multi-AI competing and winning against humans in iterated Rock-Paper-Scissors game.

Predicting and modeling human behavior and finding trends within human decision-making processes is ...

A Single-Center Evaluation of Extended Infusion Piperacillin/Tazobactam for Empiric Treatment in the Intensive Care Unit.

Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...

Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial.

BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for ...

Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.

Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. ...

Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.

With the high prevalence of breast cancer, it is urgent to find out the intrinsic difference between...

Detection of Bacteremia in Surgical In-Patients Using Recurrent Neural Network Based on Time Series Records: Development and Validation Study.

BACKGROUND: Detecting bacteremia among surgical in-patients is more obscure than other patients due ...

MetalGAN: Multi-domain label-less image synthesis using cGANs and meta-learning.

Image synthesis is currently one of the most addressed image processing topic in computer vision and...

Serum total indoxyl sulfate and clinical outcomes in hemodialysis patients: results from the Japan Dialysis Outcomes and Practice Patterns Study.

BACKGROUND: Uremic toxins are associated with various chronic kidney disease-related comorbidities. ...

Deep adaptive registration of multi-modal prostate images.

Artificial intelligence, especially the deep learning paradigm, has posed a considerable impact on c...

Motion correction of respiratory-gated PET images using deep learning based image registration framework.

Artifacts caused by patient breathing and movement during PET data acquisition affect image quality....

Optimal Selection of Sewage Treatment Technologies in Town Areas: A Coupled Multi-Criteria Decision-Making Model.

In recent years, the development of sewage treatment technologies has made many treatment options av...

Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement.

Image-to-image translation has drawn great attention during the past few years. It aims to translate...

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).

PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mor...

Detection of peripherally inserted central catheter (PICC) in chest X-ray images: A multi-task deep learning model.

BACKGROUND AND OBJECTIVE: Peripherally inserted central catheter (PICC) is a novel drug delivery mod...

Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.

With the tremendous development of artificial intelligence, many machine learning algorithms have be...

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