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Showing 3004-3024 of 6,561 articles

A ferret brain slice model of oxygen-glucose deprivation captures regional responses to perinatal injury and treatment associated with specific microglial phenotypes.

Organotypic brain slice models are an ideal technological platform to investigate therapeutic option...

Nov 2021 PMID: 35600642

Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

BACKGROUND: Rapid intraoperative diagnosis for unconfirmed pulmonary tumor is extremely important fo...

Nov 2021 PMID: 34812577

Deep learning-based reconstruction of chest ultra-high-resolution computed tomography and quantitative evaluations of smaller airways.

The full-iterative model reconstruction generates ultra-high-resolution computed tomography (U-HRCT)...

Nov 2021 PMID: 34824028

CAD system for lung nodule detection using deep learning with CNN.

The early detection of pulmonary nodules using computer-aided diagnosis (CAD) systems is very essent...

Nov 2021 PMID: 34811644

Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

To discuss the application method and effect of COPD patients in deep learning in intelligent monito...

Nov 2021 PMID: 34887710

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...

Nov 2021 PMID: 35248352

A weighted patient network-based framework for predicting chronic diseases using graph neural networks.

Chronic disease prediction is a critical task in healthcare. Existing studies fulfil this requiremen...

Nov 2021 PMID: 34799627

A Soft Robotic Balloon Endoscope for Airway Procedures.

Soft robots can provide advantages for medical interventions given their low cost and their ability ...

Nov 2021 PMID: 34813373

Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.

AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...

Nov 2021 PMID: 34786761

Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

PURPOSE: Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric imaging ...

Nov 2021 PMID: 34725829

Advanced Recovery and High-Sensitive Properties of Memristor-Based Gas Sensor Devices Operated at Room Temperature.

Fast recovery, high sensitivity, high selectivity, and room temperature (RT) sensing characteristics...

Nov 2021 PMID: 34783247

Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot.

In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thor...

Nov 2021 PMID: 34867111

MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases.

Chest X-ray image is an important clinical diagnostic reference to lung diseases that is a serious t...

Nov 2021 PMID: 34902994

A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.

OBJECTIVE: To develop and validate a deep learning nomogram (DLN) model constructed from non-contras...

Nov 2021 PMID: 34837794

Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression.

Non-contact physiological measurements have been under investigation for many years, and among these...

Nov 2021 PMID: 34833650

An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model.

Dissolved oxygen (DO) concentration in water is one of the key parameters for assessing river water ...

Nov 2021 PMID: 34773156

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A ferret brain slice model of oxygen-glucose deprivation captures regional responses to perinatal injury and treatment associated with specific microglial phenotypes.

Utility of mass spectrometry and artificial intelligence for differentiating primary lung adenocarcinoma and colorectal metastatic pulmonary tumor.

Deep learning-based reconstruction of chest ultra-high-resolution computed tomography and quantitative evaluations of smaller airways.

CAD system for lung nodule detection using deep learning with CNN.

Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

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

A weighted patient network-based framework for predicting chronic diseases using graph neural networks.

A Soft Robotic Balloon Endoscope for Airway Procedures.

Development and validation of a supervised deep learning algorithm for automated whole-slide programmed death-ligand 1 tumour proportion score assessment in non-small cell lung cancer.

Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer.

Advanced Recovery and High-Sensitive Properties of Memristor-Based Gas Sensor Devices Operated at Room Temperature.

Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot.

MARnet: multi-scale adaptive residual neural network for chest X-ray images recognition of lung diseases.

A CT-based deep learning model for subsolid pulmonary nodules to distinguish minimally invasive adenocarcinoma and invasive adenocarcinoma.

Non-Contact Spirometry Using a Mobile Thermal Camera and AI Regression.

An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model.

Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans.

Reader Perceptions and Impact of AI on CT Assessment of Air Trapping.

An accurate artificial intelligence system for the detection of pulmonary and extra pulmonary Tuberculosis.

Robotic, totally endoscopic atrial septal defect repair.

Computational methods directed towards drug repurposing for COVID-19: advantages and limitations.

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