Hospital-Based Medicine

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

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Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions.

IMPORTANCE: Hospital readmissions are associated with patient harm and expense. Ways to prevent hosp...

[Data-driven integrated diagnostics: the natural evolution of clinical chemistry?].

In the near future, making a correct medical diagnosis will be increasingly supported by artificial ...

Robotic Cardiac Surgery Part I: Anesthetic Considerations in Totally Endoscopic Robotic Cardiac Surgery (TERCS).

The application and evolution of total endoscopic robotic cardiac surgery (TERCS) has become greater...

Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics.

AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from ...

A motor learning therapeutic intervention for a child with cerebral palsy through a social assistive robot.

Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...

Machine Learning Accurately Predicts Short-Term Outcomes Following Open Reduction and Internal Fixation of Ankle Fractures.

Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...

Machine learning in whole-body MRI: experiences and challenges from an applied study using multicentre data.

Machine learning is now being increasingly employed in radiology to assist with tasks such as automa...

DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Traditional methods for assessing illness severity and predicting in-hospital mortality among critic...

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach.

Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...

Microbiological validation of a robot for the sterile compounding of injectable non-hazardous medications in a hospital environment.

OBJECTIVES: To design and execute a comprehensive microbiological validation protocol to assess a br...

Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death.

BACKGROUND: Identification of individuals at increased risk for suicide is an important public healt...

Predictors of in-hospital length of stay among cardiac patients: A machine learning approach.

OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases c...

Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

Dementia is a neurological and cognitive condition that affects millions of people around the world....

Prevalence and molecular characteristics of gene in in a tertiary hospital of Zhejiang Province.

OBJECTIVES: gene has been widely reported in the world. This study aimed to analyze the prevalence ...

Development and Validation of a Machine Learning Algorithm After Primary Total Hip Arthroplasty: Applications to Length of Stay and Payment Models.

BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty...

Rehabilitation of a patient with amelogenesis imperfecta and severe open bite: A multidisciplinary approach.

Amelogenesis imperfecta (AI) is typically associated with anterior open bite and a number of other d...

Drug discovery and drug marketing with the critical roles of modern administration.

Drug research and development is a long-term and complicated process with the involvement of multidi...

Machine learning modeling for predicting hospital readmission following lumbar laminectomy.

In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed pre...

Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, ...

FABLE: A Semi-Supervised Prescription Information Extraction System.

Prescription information is an important component of electronic health records (EHRs). This informa...

Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes.

Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in ...

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