Hospital-Based Medicine

Hybrid Assistive Limb® for sporadic inclusion body myositis: A case series.

We evaluated the efficacy of rehabilitation therapy with Hybrid Assistive Limb® (HAL; hereafter HAL ...

A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management.

Electronic health records (EHRs) often suffer missing values, for which recent advances in deep lear...

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning.

BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the i...

The Coming of Age for Big Data in Systems Radiobiology, an Engineering Perspective.

As high-throughput approaches in biological and biomedical research are transforming the life scienc...

Rocky road to digital diagnostics: implementation issues and exhilarating experiences.

Since 2007, we have gradually been building up infrastructure for digital pathology, starting with a...

Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically mean...

Robot-assisted laparoscopic extravesical versus conventional laparoscopic extravesical ureteric reimplantation for pediatric primary vesicoureteric reflux: a systematic review and meta-analysis.

To perform a systematic review and meta-analysis comparing the outcomes of robotic-assisted laparosc...

Tianxia120: A Multimodal Medical Data Collection Bioinformatic System for Proactive Health Management in Internet of Medical Things.

A digital medical health system named Tianxia120 that can provide patients and hospitals with "one-s...

Successful Treatment of Allergic Bronchopulmonary Aspergillosis Using a Combination of Inhaled Fluticasone Furoate/Vilanterol and Oral Voriconazole.

Systemic corticosteroids are considered to be the standard treatment for allergic bronchopulmonary a...

A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.

Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase ...

Re: Outpatient Robot-Assisted Radical Prostatectomy: Are Patients Ready for Same-Day Discharge?

Artificial Intelligence and Stroke Imaging: A West Coast Perspective.

Artificial intelligence (AI) advancements have significant implications for medical imaging. Stroke ...

Primary Prevention Trial Designs Using Coronary Imaging: A National Heart, Lung, and Blood Institute Workshop.

Coronary artery calcium (CAC) is considered a useful test for enhancing risk assessment in the prima...

Incorporation of Urinary Neutrophil Gelatinase-Associated Lipocalin and Computed Tomography Quantification to Predict Acute Kidney Injury and In-Hospital Death in COVID-19 Patients.

BACKGROUND: The prevalence of acute kidney injury (AKI) in COVID-19 patients is high, with poor prog...

Usefulness of Semisupervised Machine-Learning-Based Phenogrouping to Improve Risk Assessment for Patients Undergoing Transcatheter Aortic Valve Implantation.

Semisupervised machine-learning methods are able to learn from fewer labeled patient data. We illust...

Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.

OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (...

How Good Is Machine Learning in Predicting All-Cause 30-Day Hospital Readmission? Evidence From Administrative Data.

OBJECTIVES: Hospital readmission is a main cost driver for healthcare systems, but existing works of...

Development, implementation, and prospective validation of a model to predict 60-day end-of-life in hospitalized adults upon admission at three sites.

BACKGROUND: Automated systems that use machine learning to estimate a patient's risk of death are be...

Hospital robotic use for colorectal cancer care.

The use of robotic surgery for colorectal cancer continues to increase. However, not all organizatio...

Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital.

BACKGROUND: Hospital readmissions are a key quality metric, which has been tied to reimbursement. On...

Machine learning and readmission: Do we need new methods to solve old problems?