Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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The Holistic Philosophy of Traditional Chinese Medicine and Conflicts With Modern Medicine.

Traditional Chinese medicine (TCM) has sparked the public's attention for its potential in new drug ...

An Interpretable Chest CT Deep Learning Algorithm for Quantification of COVID-19 Lung Disease and Prediction of Inpatient Morbidity and Mortality.

RATIONALE AND OBJECTIVES: The burden of coronavirus disease 2019 (COVID-19) airspace opacities is ti...

Factors associated with COVID-19 lethality in a hospital in the Cajamarca region in Peru.

OBJECTIVE.: To identify the clinical and epidemiological characteristics related to lethality in pat...

FoSSA Optimization-Based SVM Classifier for the Recognition of Partial Discharge Patterns in HV Cables.

In order to enhance the classification accuracy and the generalization performance of the SVM classi...

Efficacy of a Deep Learning Convolutional Neural Network System for Melanoma Diagnosis in a Hospital Population.

(1) Background: The purpose of this study was to evaluate the efficacy in terms of sensitivity, spec...

Scalable deep learning algorithm to compute percent pulmonary contusion among patients with rib fractures.

BACKGROUND: Pulmonary contusion exists along a spectrum of severity, yet is commonly binarily classi...

Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations.

The aim of this study is to build machine learning models to predict severe complications using admi...

Characteristics of Computed Tomography Images for Patients with Acute Liver Injury Caused by Sepsis under Deep Learning Algorithm.

This study was aimed at exploring the application of image segmentation based on full convolutional ...

Automatic Deep-Learning Segmentation of Epicardial Adipose Tissue from Low-Dose Chest CT and Prognosis Impact on COVID-19.

Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epica...

Neuronal Apoptosis in Patients with Liver Cirrhosis and Neuronal Epileptiform Discharge Model Based upon Multi-Modal Fusion Deep Learning.

Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a cor...

Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.

Toxoplasmosis is a zoonotic illness caused by . Those with a normal immune system normally recover w...

Application of Da Vinci Robot and Thoracoscopy in Radical Lung Cancer Surgery.

In this article, we have explored the feasibility and safety of Da Vinci's robotic surgery system in...

The Role of Gabapentinoids in the Substance Use Pattern of Adult Germans Seeking Inpatient Detoxification Treatment - A Pilot Study.

To shed more light on the addictive power of the gabapentinoids (GPTs) gabapentin and pregabalin, we...

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data.

COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and pauc...

Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients.

INTRODUCTION: Despite advances, readmission and mortality rates for surgical patients with colon can...

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