Hospital-Based Medicine

Intensivists

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

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Showing 652-672 of 5,065 articles
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

It is important to determine the risk for admission to the intensive care unit (ICU) in patients wit...

Mar 2024 38458880
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals.

The development of reliable mortality risk stratification models is an active research area in compu...

Mar 2024 38459085
Attributed Multi-Order Graph Convolutional Network for Heterogeneous Graphs.

Heterogeneous graph neural networks play a crucial role in discovering discriminative node embedding...

Mar 2024 38471260
Opening Pandora's box by generating ICU diaries through artificial intelligence: A hypothetical study protocol.

BACKGROUND: Patients and families on Intensive Care Units (ICU) benefit from ICU diaries, enhancing ...

Feb 2024 38394982
Neuromonitoring in the ICU - what, how and why?

PURPOSE OF REVIEW: We selectively review emerging noninvasive neuromonitoring techniques and the evi...

Feb 2024 38441121
Multi-modal deep learning networks for RGB-D pavement waste detection and recognition.

To create a clean living environment, governments around the world have hired a large number of work...

Feb 2024 38325013
Early detection of late-onset neonatal sepsis from noninvasive biosignals using deep learning: A multicenter prospective development and validation study.

BACKGROUND: Neonatal sepsis is responsible for significant morbidity and mortality worldwide. Its ac...

Feb 2024 38330522
Application of multi-gene genetic programming to the prognosis prediction of COVID-19 using routine hematological variables.

Identifying patients who may develop severe COVID-19 has been of interest to clinical physicians sin...

Jan 2024 38263446
A magnetic multi-layer soft robot for on-demand targeted adhesion.

Magnetic soft robots have shown great potential for biomedical applications due to their high shape ...

Jan 2024 38245517
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.

Quantifying pain in patients admitted to intensive care units (ICUs) is challenging due to the incre...

Jan 2024 38463539
Building Prediction Models for 30-Day Readmissions Among ICU Patients Using Both Structured and Unstructured Data in Electronic Health Records.

ICU readmissions are associated with poor outcomes for patients and poor performance of hospitals. P...

Jan 2024 39055130
Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project.

Large-scale medical data sets are vital for hands-on education in health data science but are often ...

Jan 2024 38227356
Robotic Anesthesia: A Vision for 2050.

The last 2 decades have brought important developments in anesthetic technology, including robotic a...

Jan 2024 38215704
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence.

With the recent advancement of novel biomedical technologies such as high-throughput sequencing and ...

Jan 2024 37824325
Antioxidant, enzymes inhibitory, physicochemical and sensory properties of instant bio-yoghurts containing multi-purpose natural additives.

This study aimed to assess the antioxidant, enzyme inhibitory, physicochemical and sensory propertie...

Jan 2024 38274204
Contrastive and adversarial regularized multi-level representation learning for incomplete multi-view clustering.

Incomplete multi-view clustering is a significant task in machine learning, given that complex syste...

Jan 2024 38219677
[Potential of AI for the Treatment of Acute Respiratory Distress Syndrome (ARDS)].

Acute respiratory distress syndrome (ARDS) is still associated with high mortality rates and poses a...

Jan 2024 38190824
DeBERTa-BiLSTM: A multi-label classification model of Arabic medical questions using pre-trained models and deep learning.

It is wise to investigate past and present epidemics in the hopes of profiting from them and being b...

Jan 2024 38295474
Deep learning-based prediction of in-hospital mortality for sepsis.

As a serious blood infection disease, sepsis is characterized by a high mortality risk and many comp...

Jan 2024 38172160
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