Hospital-Based Medicine

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

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Electronic surveillance of patient safety events using natural language processing.

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital...

[Implementation of robotic mechanotherapy for movement recovery in patients after stroke].

Lower extremity dysfunction after a stroke can vary from mild to extremely severe and significantly ...

Deep learning-based prediction of heart failure rehospitalization during 6, 12, 24-month follow-ups in patients with acute myocardial infarction.

Heart failure is a clinical syndrome that occurs when the heart is too weak or stiff and cannot pump...

AI Tools Poised to Improve Patient Health Care.

Technologies to provide early predictions of breast cancer risk, to identify which hospital patients...

Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...

Are robots the future? A case for robotic pyeloplasty as the gold standard treatment in ureteropelvic junction obstruction.

PURPOSE OF REVIEW: Robotic pyeloplasty is still a relatively novel procedure. Clinically, early stud...

[Segmentation method of myocardial perfusion bull-eye for the degree of loss of cardiac ischemia].

As one of the non-invasive imaging techniques, myocardial perfusion imaging provides a basis for the...

Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...

[Preliminary application of transoral robotic thyroidectomy: experience from an initial 30 cases].

To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...

Comparison of Perioperative Outcomes for Radical Nephrectomy Based on Surgical Approach for Masses Greater Than 10 cm.

Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic...

[Artificial Intelligence in internal medicine : development of a model predicting length of stay for non-elective admissions].

Efficient management of hospitalized patients requires carefully planning each stay by taking into a...

New Method for Surgical Diagnostics - a Robotic Telemedical Approach.

Apart from the tremendous increase in the demand for telemedicine during the COVID-19 pandemic, the ...

Deep Learning, a Not so Magical Problem Solver: A Case Study with Predicting the Complexity of Breast Cancer Cases.

Using guideline-based clinical decision support systems (CDSSs) has improved clinical practice, espe...

Utilizing graph machine learning within drug discovery and development.

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnolo...

[Comparison of single incision robot-assisted laparoscopic radical prostatectomy with and without extraperitoneal special channel device].

To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectom...

Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

The increasing availability of electronic health records and administrative data and the adoption of...

Machine learning for identifying resistance features of using whole-genome sequence single nucleotide polymorphisms.

, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance...

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