Hospital-Based Medicine

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

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TRIAGE: Risk-Controlled Pseudo-Label Admission for Annotation-Efficient Semi-Supervised Retinal OCT Classification

The advanced retinal disease diagnosing imaging modality, optical coherence tomography (OCT), encoun...

Continuous Value Tokenization Improves Medical Event Foundation Models

Medical foundation models convert patient records into token sequences for autoregressive prediction...

From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systems

Hospitals are rapidly adopting artificial intelligence for triage, imaging, scheduling etc., yet mos...

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FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare

Federated Learning (FL) enables collaborative model training across distributed healthcare instituti...

Predicting Unplanned Hospital Readmissions in People with Multiple Long-Term Conditions

The prevalence of multiple long-term conditions (MLTCs) is associated with increased healthcare util...

Nudging Toward Precision Medical Education: Linking Diagnostic Exposures to Tailored Learning

Problem Authentic patient encounters are the raw material of clinical learning, yet the educational ...

MetaAMI: A Novel Meta-Learning Approach for Predicting In-Hospital Mortality in Acute Myocardial Infarction

Acute myocardial infarction (AMI) is one of the leading cardiovascular diseases worldwide and remain...

Systematic modeling of phenotypic drug response profiles inpatient-derived organoids

Patient-derived tumor organoids provide a physiologically relevant 3D disease model for preclinical ...

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation

Medical world models aim to learn a latent state of patient or organ physiology and a transition fun...

Hierarchical Spatio-Temporal Transformer for Coherent Emergency Department Forecasting

Emergency Departments (EDs) are critical access points in healthcare systems, yet they face persiste...

Harnessing Disagreement: Detecting Correlated Agreement Blindness in Multi-Agent Triage

Disagreement-triggered escalation can create a structural blind spot in multi-agent arbitration: as ...

Developing a Heart Failure Readmission Model From Inpatient Electronic Medical Record Data

Importance: Heart failure readmissions remain common following hospitalization, but accurately ident...

Privacy Leakage in Federated Learning in Radiology Reports: A Comparative Evaluation of Tokenizer-Driven Privacy Risks

Federated learning (FL) enables multi-institutional training on clinical text without sharing raw da...

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Optimally Predicting Mortality in Patients with Abdominal Aortic Aneurysms

Abdominal aortic aneurysm (AAA) patients in the ICU represent a heterogeneous, high-risk population ...

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Protocol for an EHR-embedded pragmatic randomized control trial of Ambient AI to Reduce Nursing Staff Documentation Time

Background: Documentation burden significantly impacts nursing workload and well-being, with nurses ...

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