Hospital-Based Medicine

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

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Showing 1681-1701 of 6,177 articles
Deep Neural Network With Consistency Regularization of Multi-Output Channels for Improved Tumor Detection and Delineation.

Deep learning is becoming an indispensable tool for imaging applications, such as image segmentation...

Deep neural models for automated multi-task diagnostic scan management-quality enhancement, view classification and report generation.

The detailed physiological perspectives captured by medical imaging provides actionable insights to ...

Influence of Critical Care Transport Ventilator Management on Intensive Care Unit Care.

OBJECTIVE: High tidal volume ventilation is associated with ventilator-induced lung injury. Early in...

Adrenal Insufficiency in Septic Patients Admitted to Intensive Care Unit: Prevalence and Associated Factors.

Adrenal insufficiency (AI) is associated with an increase in the risk of mortality in ICU-admitted ...

Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform.

Vegetation Types (VTs) are important managerial units, and their identification serves as essential ...

Don't Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification Models.

Machine learning models predicting the bioactivity of chemical compounds belong nowadays to the stan...

Study on Multi-Model Soft Sensor Modeling Method and Its Model Optimization for the Fermentation Process of .

The problems that the key biomass variables in fermentation process are difficult measure in real t...

Imitation and mirror systems in robots through Deep Modality Blending Networks.

Learning to interact with the environment not only empowers the agent with manipulation capability b...

Automatic Multi-Label ECG Classification with Category Imbalance and Cost-Sensitive Thresholding.

Automatic electrocardiogram (ECG) classification is a promising technology for the early screening a...

Fault Diagnosis of Permanent Magnet DC Motors Based on Multi-Segment Feature Extraction.

For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases af...

Parallel multi-fusion convolutional neural networks based fault diagnosis of rotating machinery under noisy environments.

Fault diagnosis has a great significance in preventing serious failures of rotating machinery and av...

LF-ACO: an effective formation path planning for multi-mobile robot.

Multi-robot path planning is a hot problem in the field of robotics. Compared with single-robot path...

Recognition study of denatured biological tissues based on multi-scale rescaled range permutation entropy.

The recognition of denatured biological tissue is an indispensable part in the process of high inten...

The regulatory and modulatory roles of TRP family channels in malignant tumors and relevant therapeutic strategies.

Transient receptor potential (TRP) channels are one primary type of calcium (Ca) permeable channels,...

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation.

Computer-Aided Diagnosis (CAD) for dermatological diseases offers one of the most notable showcases ...

Bearing Fault Diagnosis via Improved One-Dimensional Multi-Scale Dilated CNN.

Bearings are the key and important components of rotating machinery. Effective bearing fault diagnos...

Improved Protein Structure Prediction Using a New Multi-Scale Network and Homologous Templates.

The accuracy of de novo protein structure prediction has been improved considerably in recent years,...

Automated Machine-Learning Framework Integrating Histopathological and Radiological Information for Predicting IDH1 Mutation Status in Glioma.

Diffuse gliomas are the most common malignant primary brain tumors. Identification of isocitrate deh...

Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.

Multi-view clustering has become an active topic in artificial intelligence. Yet, similar investigat...

A novel multi-branch architecture for state of the art robust detection of pathological phonocardiograms.

Heart auscultation is an inexpensive and fundamental technique to effectively diagnose cardiovascula...

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