Hospital-Based Medicine

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

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NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study

Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond...

The Causal Artificial Intelligence Clinician for early haemodynamic management of septic shock in ICU

Introduction: Standardizing fluid and vasopressor resuscitation in sep- tic shock is challenging due...

Tacrolimus variability and creatinine predict readmission after liver transplantation

Unplanned readmissions after liver transplantation occur in over 30% of recipients, yet no validated...

Emergency Department Presenting Concerns Among Admissions With Hypercapnia: A Retrospective NLP Study of MIMIC-IV

Background Hypercapnia may indicate a primary ventilatory syndrome, a complication of another illnes...

Comparative Performance of Clinical Scoring Systems for Early Mortality Prediction in Blunt Traumatic Brain Injury

Background: Early risk stratification in traumatic brain injury (TBI) is essential for timely triage...

Automated Multisource Electronic Frailty Index in Acute Ischemic Stroke: Development and Clinical Utility

Background: Frailty is common in acute ischemic stroke (AIS) and predicts poor outcomes, but is not ...

EEG-SpikeAgent: Agentic Closed-Loop Program Synthesis for Automated EEG Spike Detection

Automated detection of interictal epileptiform discharges in scalp electroencephalography (EEG) is c...

Hierarchical Multi-to-Single-Modal Knowledge Distillation for Disruption Prediction in EAST

Plasma disruption is a critical threat to tokamak safety. Existing data-driven predictors mainly rel...

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing

Recent image generation and editing models can produce visually appealing natural images, yet they r...

Autonomous generation of decision-grade clinical evidence

Medical practice is bottlenecked by the slow production of high-quality clinical evidence. Despite p...

Golden Hour Divide: Trauma Care Accessibility and Resource Vulnerability in Sri Lanka

Timely intensive care dictates survival, yet emergency infrastructure remains unevenly distributed a...

CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

Cardiac discharge phenotyping informs post-discharge treatment and follow-up, but real-world records...

A language model framework for sequence modeling of EHR audit logs to characterize clinician-EHR interactions

Objective: Electronic health record (EHR) audit logs capture clinician-EHR interaction patterns, but...

A Reproducible Clinical Decision-Support Suite on MIMIC-IV

Most published clinical-AI results are single models on a single dataset, difficult to reproduce, an...

A Natural Experiment Reveals Clinically Essential and Compliance-Driven Nursing Documentation

Despite contributing substantially to clinician burnout, nursing documentation lacks empirical evide...

Development and External Validation of a Machine Learning Model for 10-Year Ischemic Stroke Risk Prediction in Diverse Populations

Importance: Machine-learning models for ischemic stroke risk prediction are rarely validated across ...

Expresso-AI: Explainable Video-Based Deep Learning Models for Depression Diagnosis

Given the widespread prevalence of depression and its consequential impact on individuals and societ...

Agentic Artificial Intelligence for Hospital Readmission Review: A Single-Center Blinded Evaluation and Exploratory Qualitative Analysis

Background: Manual review of 30-day hospital readmissions can identify actionable quality and safety...

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