Hospital-Based Medicine

Hospitalists

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

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Admission Total Leukocyte Count as a Predictor of Mortality in Cardiac Intensive Care Unit Patients.

BACKGROUND: Inflammation is a sequela of cardiovascular critical illness and a risk factor for morta...

Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.

BACKGROUND: Classification of perioperative risk is important for patient care, resource allocation,...

Assessing Decision Regret in Patients with Same-Day Discharge Pathway After Robot-Assisted Radical Prostatectomy.

After the introduction of same-day discharge (SDD) pathways for various surgeries, these pathways h...

Machine learning models for early prediction of mortality risk in patients with burns: A single center experience.

Mortality rate is considered as the most important outcome measure for assessing the severity of bur...

Machine Learning Web Application for Predicting Functional Outcomes in Patients With Traumatic Spinal Cord Injury Following Inpatient Rehabilitation.

Accurately predicting functional outcomes in patients with spinal cord injury (SCI) helps clinicians...

Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans.

The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) pati...

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensi...

Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU.

Fluid overload, while common in the ICU and associated with serious sequelae, is hard to predict and...

Principles of Photocatalysts and Their Different Applications: A Review.

Human existence and societal growth are both dependent on the availability of clean and fresh water....

Reduced urinary levels of angiotensin-converting enzyme 2 activity predict acute kidney injury in critically ill patients.

Angiotensin-converting enzyme 2 activity reflects non-classical renin-angiotensin system upregulati...

Leveraging Summary Guidance on Medical Report Summarization.

This study presents three deidentified large medical text datasets, named DISCHARGE, ECHO and RADIOL...

Surgery's Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery.

BACKGROUND: This study aimed to examine the accuracy with which multiple natural language processing...

Comparison of effectiveness and safety of Da Vinci robot's "3 + 1" and "4 + 1" modes of treatment for colorectal cancer.

To compare the effectiveness of the Da Vinci Surgical Robot System (DSRS) "3 + 1" and "4 + 1" models...

A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images.

Preterm infants are a highly vulnerable population. The total brain volume (TBV) of these infants ca...

Use of machine learning and deep learning to predict particulate Cs concentrations in a nuclearized river.

Cesium-137, discharged by nuclear installations under normal operations and deposited in watersheds ...

Liver dysfunction on admission worsens clinical manifestations and outcomes of coronavirus disease 2019.

BACKGROUND: Liver dysfunction was common in coronavirus disease 2019 (COVID-19), but its association...

Assessment of routine same-day discharge surgery for robot-assisted radical prostatectomy.

INTRODUCTION: It is important for robotic surgery to be cost-effective, especially by reducing the l...

Direction-dependent differences in the quality and quantity of horizontal reaching in people after stroke.

Arm reaching is often impaired in individuals with stroke. Nonetheless, how aiming directions influe...

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