Hospital-Based Medicine

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

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Showing 883-903 of 9,855 articles
Applicability of machine learning technique in the screening of patients with mild traumatic brain injury.

Even though the demand of head computed tomography (CT) in patients with mild traumatic brain injury...

Utility and safety of robot-assisted radical cystectomy in older patients with bladder cancer.

This study aimed to investigate the efficacy and safety of robot-assisted radical cystectomy (RARC)...

Artificial intelligence for dementia genetics and omics.

Genetics and omics studies of Alzheimer's disease and other dementia subtypes enhance our understand...

Implementation of robotic pancreaticoduodenectomy at a community tertiary care hospital utilizing a comprehensive curriculum.

BACKGROUND: We evaluated the outcomes of a robotic pancreaticoduodenectomy (RPD) program implemented...

A comparison of perioperative outcomes of transperitoneal versus retroperitoneal robot-assisted partial nephrectomy: a systematic review.

RAPN can be carried out via a transperitoneal or retroperitoneal approach. The choice between the tw...

Chronic thromboembolic pulmonary hypertension: realising the potential of multimodal management.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a rare complication of acute pulmonary embo...

Exploring intelligent hospital management mode based on artificial intelligence.

OBJECTIVE: To address the challenges posed by the COVID-19 pandemic, our hospital developed an intel...

A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data.

Accurate estimation of in-hospital mortality based on patients' physiological time series data impro...

Multidisciplinary considerations of fairness in medical AI: A scoping review.

INTRODUCTION: Artificial Intelligence (AI) technology has been developed significantly in recent yea...

Self-removal of catheter after robot-assisted radical prostatectomy: a feasibility study.

Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has ...

Robot-assisted versus laparoscopic living donor nephrectomy: superior outcomes after completion of the learning curve.

The use of robots in donor nephrectomy has increased in recent years. However, whether robot-assiste...

Prediction of Postoperative Creatinine Levels by Artificial Intelligence after Partial Nephrectomy.

: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injur...

An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration.

Emergency department (ED) triage scale determines the priority of patient care and foretells the pro...

ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?

While multidisciplinary collaboration in echocardiography is not new, machine learning has the poten...

Improving Diagnostics with Deep Forest Applied to Electronic Health Records.

An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering ...

Recent advances in wearable sensors and data analytics for continuous monitoring and analysis of biomarkers and symptoms related to COVID-19.

The COVID-19 pandemic has changed the lives of many people around the world. Based on the available ...

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care.

Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation ...

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