Hospital-Based Medicine

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

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Predictors of COVID-19 hospital outcomes: a machine learning analysis of the National COVID Cohort Collaborative

Predicting hospital outcomes for patients with severe acute respiratory infections is critical for r...

Optimising antibiotic switching via forecasting of patient physiology

Timely transition from intravenous (IV) to oral antibiotic therapy shortens hospital stays, reduces ...

Characterizing Autonomic Dysfunction during Resuscitation in Sepsis using Multiscale Entropy

Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...

AI-Generated Responses to Patient's Messages: Effectiveness, Feasibility and Implementation

Background Generative artificial intelligence (GenAI) in healthcare may reduce administrative burden...

Multimodal EHR-Based Prediction of Pediatric Asthma Exacerbations

Pediatric asthma exacerbations are a frequent cause of emergency department (ED) visits and hospital...

Imputation of Unknown Missingness in Sparse Electronic Health Records

Machine learning holds great promise for advancing the field of medicine, with electronic health rec...

Human-Guided Agentic AI for Multimodal Clinical Prediction: Lessons from the AgentDS Healthcare Benchmark

Agentic AI systems are increasingly capable of autonomous data science workflows, yet clinical predi...

Machine Intelligence-Driven Forecasting for ED Triage and Dynamic Hospital Patient Routing

Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the...

Boards-style benchmarks overestimate prior-chat bias in large language models: a factorial evaluation study

Background: Large language models (LLMs) are increasingly piloted as chat interfaces for chart revie...

Detection-Guided Artifact Removal for Clinical EEG: A Deep Learning Framework

Objective: We developed and validated a detection-guided artifact removal framework for clinical ele...

Development and Validation of the Intensive Documentation Index for ICU Mortality Prediction: A Temporal Validation Study

Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...

Safety and Utility of an Agentic Large Language Model-Based Hospital Course Summarizer: A Prospective Real-World Pilot Study

Importance: High-quality discharge summaries are essential for safe care transitions but contribute ...

Can ChatGPT give holistic and accurate patient-centred information to oncology patients? A mixed-methods evaluation with stakeholders

Abstract Objective More people than ever before are living with cancer. Patient education is a core ...

Improving mortality prediction in critically ill cancer patients with a multidimensional machine learning model

Background: Prognostic assessment in critically ill patients with cancer remains challenging, as con...

Efficient Variance-reduced Estimation from Generative EHR Models: The SCOPE and REACH Estimators

Generative models trained using self-supervision of tokenized electronic health record (EHR) timelin...

An Implantable Device that Converses with Patients and Learns to Co-Manage Epilepsy

One-third of the world's 70 million people with epilepsy have seizures that are not controlled by me...

UniPACT: A Multimodal Framework for Prognostic Question Answering on Raw ECG and Structured EHR

Accurate clinical prognosis requires synthesizing structured Electronic Health Records (EHRs) with r...

Association of Deep Learning-Derived Temporalis Sarcopenia with Mortality in Acute Ischemic Stroke

Background: Sarcopenia is associated with mortality and morbidity following acute ischemic stroke (A...

Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data

Healthcare institutions have access to valuable patient data that could be of great help in the deve...

Predicting the need for medical care after toxin exposure using SHAP-interpretable gradient boosting

Objective: Experts in poison control centers must accurately and efficiently assess the severity of ...

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