Hospital-Based Medicine

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

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An Intelligent Robotic Hospital Bed for Safe Transportation of Critical Neurosurgery Patients Along Crowded Hospital Corridors.

We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous nav...

Aug 2014 25137731
Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospi...

Apr 2014 24777832
Recovery of walking ability using a robotic device in subacute stroke patients: a randomized controlled study.

PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering w...

Mar 2014 24611590
[Infection prevention check-in and infection prevention check-out to prevent nosocomial infections].

BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...

Nov 2009 19911345
Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...

Operationalizing Eight-Dimensional Patient-Safety Risk Scoring at Scale: A Multi-Model Large Language Model Reliability Study

Background: Hospital incident risk scoring has long relied on two- or three-dimensional frameworks (...

Real-world impact of a sepsis early detection model integrated into clinical workflow: a quasi-experimental study

Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are as...

Relationship Extraction for Adverse Drug Events in Clinical Notes Using Large Language Models

Background: Adverse drug events (ADEs) are a critical indicator of patient safety but are often docu...

Use of large language models by academic hospitalists: results of a multicenter survey

Introduction: The use of artificial intelligence (AI) by clinicians has increased rapidly in recent ...

AI Adoption for NCDs in Kenya: A Qualitative Study

Background: Non-communicable diseases (NCDs) represent a critical public health challenge in Kenya, ...

Discrepancy Minimization Improves Cross-Hospital Robustness in Digital Pathology

Pathology foundation models (PFMs) have advanced rapidly in recent years and support training classi...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

Post-ED Trajectory Prediction in Abdominal Pain with a Generative Medical Event Model

Importance: Abdominal pain causes roughly 10 million US emergency department (ED) visits annually, m...

Predicting Intensive Care Readmission Among Hospitalized Children

Objective: Readmissions to the PICU are associated with increased morbidity and mortality. A predict...

Clinical Note Comparison and Data Retrieval Via Embedding Vectors: Model Selection, Metrics, and Convergence

Background: Embedding models are an integral part of generative AI architectures, transforming text ...

Large Language Model Performance in UK Advice & Guidance: A Pilot Study in Neurology

Background: Large language models (LLMs) demonstrate strong performance in controlled medical enviro...

RxEval: A Prescription-Level Benchmark for Evaluating LLM Medication Recommendation

Inpatient medication recommendation requires clinicians to repeatedly select specific medications, d...

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