Hospital-Based Medicine

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

9,855 articles
Stay Ahead - Weekly Hospital-Based Medicine research updates
Subscribe
Browse Specialties
Showing 694-714 of 9,855 articles
Operative efficiency: a comparative analysis of Versius and da Vinci robotic systems in abdominal surgery.

Robotic-assisted surgery has gained momentum in the pursuit of improved minimally invasive procedure...

Financial impact of incorporating deep learning reconstruction into magnetic resonance imaging routine.

PURPOSE: Artificial intelligence and deep learning solutions are increasingly utilized in healthcare...

Predictive analytics for cardiovascular patient readmission and mortality: An explainable approach.

BACKGROUND: Cardiovascular patients experience high rates of adverse outcomes following discharge fr...

Predicting the Severity and Discharge Prognosis of Traumatic Brain Injury Based on Intracranial Pressure Data Using Machine Learning Algorithms.

OBJECTIVE: This study aimed to explore the potential of employing machine learning algorithms based ...

hinotori vs. da Vinci: propensity score-matched analysis of surgical outcomes of robot-assisted radical prostatectomy.

hinotoriâ„¢ is a recently developed surgical robot system. The present study aims to compare intraoper...

Unlocking the Value: Quantifying the Return on Investment of Hospital Artificial Intelligence.

PURPOSE: A comprehensive return on investment (ROI) calculator was developed to evaluate the monetar...

Implementation of single-port robotic urologic surgery: experience at a large academic center.

The Single-Port (SP) robotic system is increasingly being implemented in the United States, allowing...

Artificial intelligence-based MRI radiomics and radiogenomics in glioma.

The specific genetic subtypes that gliomas exhibit result in variable clinical courses and the need ...

Comparative analysis of robotic single-site cholecystectomy outcomes between novice and expert surgeons.

Single-incision laparoscopic cholecystectomy (SILC) has declined in popularity, posing a challenge f...

Development and validation of 'Patient Optimizer' (POP) algorithms for predicting surgical risk with machine learning.

BACKGROUND: Pre-operative risk assessment can help clinicians prepare patients for surgery, reducing...

Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

It is important to determine the risk for admission to the intensive care unit (ICU) in patients wit...

Prediction of acute methanol poisoning prognosis using machine learning techniques.

Methanol poisoning is a global public health concern, especially prevalent in developing nations. Th...

Deep learning model for personalized prediction of positive MRSA culture using time-series electronic health records.

Methicillin-resistant Staphylococcus aureus (MRSA) poses significant morbidity and mortality in hosp...

Metabolomics profile and machine learning prediction of treatment responses in immune thrombocytopenia: A prospective cohort study.

Immune thrombocytopenia (ITP) is an autoimmune disease characterized by antibody-mediated platelet d...

Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format.

IMPORTANCE: By law, patients have immediate access to discharge notes in their medical records. Tech...

Advances in AI and machine learning for predictive medicine.

The field of omics, driven by advances in high-throughput sequencing, faces a data explosion. This a...

Clinical Integration of Artificial Intelligence for Breast Imaging.

This article describes an approach to planning and implementing artificial intelligence products in ...

Artificial intelligence in head and neck surgery: Potential applications and future perspectives.

Artificial intelligence (AI) has the potential to improve the surgical treatment of patients with he...

Browse Specialties