Hospital-Based Medicine

Intensivists

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

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Showing 2584-2604 of 6,181 articles
Investigation of Bleeding Disorders: When and How Should We Test Platelet Functions?

Inherited platelet disorders (IPDs) are rare conditions with diverse underlying pathophysiology whic...

GAMMNet: Gating Multi-head Attention in a Multi-modal Deep Network for Sound Based Respiratory Disease Detection.

Respiratory diseases present significant challenges to global health due to their high morbidity and...

Paradigm-Shifting Attention-based Hybrid View Learning for Enhanced Mammography Breast Cancer Classification with Multi-Scale and Multi-View Fusion.

Breast cancer poses a serious threat to women's health, and its early detection is crucial for enhan...

Mitigating Bias in Machine Learning Models with Ethics-Based Initiatives: The Case of Sepsis.

This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...

Learning-based multi-material CBCT image reconstruction with ultra-slow kV switching.

ObjectiveThe purpose of this study is to perform multiple () material decomposition with deep learni...

Hybrid Series of Carbon-Vacancy Electrodes for Multi Chemical Vapors Diagnosis Using a Residual Multi-Task Model.

Detecting individual gases with various sensors is a well-established field in gas sensing. However,...

Machine learning model to predict sepsis in ICU patients with intracerebral hemorrhage.

Patients with intracerebral hemorrhage (ICH) are highly susceptible to sepsis. This study evaluates ...

Prediction and optimization of stretch flangeability of advanced high strength steels utilizing machine learning approaches.

Advanced high strength steels (AHSS) exhibit diverse mechanical properties due to their complex chem...

Optimizing sustainable blended concrete mixes using deep learning and multi-objective optimization.

The proposed framework unites deep neural networks (DNNs) together with multi-objective optimization...

Pose estimation and tracking dataset for multi-animal behavior analysis on the China Space Station.

Non-contact behavioral study through intelligent image analysis is becoming increasingly vital in an...

Are Wearable ECG Devices Ready for Hospital at Home Application?

The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...

Clinical Bedside Benchmarking Test for Measuring the Total Hemoglobin Concentration.

OBJECTIVE: Accurate total hemoglobin concentration (ctHb) measurement is critical for clinical decis...

Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit.

BACKGROUND: The prediction of mortality for elderly patients undergoing non-cardiac surgeries is a v...

Autonomous air combat decision making via graph neural networks and reinforcement learning.

With the rapid advancement of technology, aerial interaction patterns have become increasingly compl...

Emerging use of pulmonary artery and cardiac pressure sensing technology in the management of worsening heart failure events.

Unplanned admissions for worsening heart failure (WHF) are the largest resource cost in heart failur...

UAV-based water pollutants detection and classification framework using multi-modal and multi-sensor ensemble learning.

The massive increment in water pollutants due to the release of plastic, industrial, and household w...

Machine-Learning-Powered, Rapid, Accurate, and Multi-Target Mechanical Metamaterials Inverse Design.

Multi-target inverse design, which involves designing multiple targets with different optimization o...

Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks.

The rapid growth of multi-omics datasets and the wealth of biological knowledge necessitates the dev...

A Multi-Modal Graph Neural Network Framework for Parkinson's Disease Therapeutic Discovery.

Parkinson's disease (PD) is a complex neurodegenerative disorder lacking effective disease-modifying...

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