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Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 2248-2268 of 8,374 articles

Determinants of Training Corpus Size for Clinical Text Classification

Introduction: Clinical text classification using natural language processing (NLP) models requires a...

Jan 2026 2601.15846v1

Predicting Healthcare System Visitation Flow by Integrating Hospital Attributes and Population Socioeconomics with Human Mobility Data

Healthcare visitation patterns are influenced by a complex interplay of hospital attributes, populat...

Jan 2026 2601.15977v1

Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System

Purpose: Studies based on electronic health records (EHR) often rely on structured data, which may i...

Jan 2026 10.64898/2026.01.18.26344356

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment

Sepsis remains one of the leading causes of mortality in intensive care units, where timely and accu...

Jan 2026 2601.14228v1

Aligning Artificial Intelligence Prediction Targets with Clinical Workflows Using Human Centered Design Methods

Artificial intelligence models in healthcare often fail to improve patient outcomes despite strong p...

Jan 2026 10.64898/2026.01.15.26344209

Achieving Expert-Level Clinical Infection Detection with LLMs from Clinical Documents: Validation in Complex Patient Cases with Cirrhosis

BackgroundSystemic infections are a leading cause of hospitalization and death among patients with c...

Jan 2026 10.64898/2026.01.13.26344046

RIPTOSO: The development of a screening tool for adverse events during forensic-psychiatric inpatient treatments of offenders with schizophrenia spectrum disorders.

Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive...

Aug 2025 40373488

Understanding deep learning models for Length of Stay prediction on critically ill patients through latent space visualization.

BACKGROUND AND OBJECTIVE: Continuous, real-time monitoring of Length of Stay (LoS) for critically il...

Aug 2025 40413882

Illuminating the Future: Nanophotonics for Future Green Technologies, Precision Healthcare, and Optical Computing

Nanophotonics, an interdisciplinary field merging nanotechnology and photonics, has enabled transf...

Jul 2025 http://arxiv.org/abs/2507.06587v1

Bridging Data Gaps of Rare Conditions in ICU: A Multi-Disease Adaptation Approach for Clinical Prediction

Artificial Intelligence has revolutionised critical care for common conditions. Yet, rare conditio...

Jul 2025 http://arxiv.org/abs/2507.06432v1

LCDS: A Logic-Controlled Discharge Summary Generation System Supporting Source Attribution and Expert Review

Despite the remarkable performance of Large Language Models (LLMs) in automated discharge summary ...

Jul 2025 http://arxiv.org/abs/2507.05319v1

Prediction of tissue and clinical thrombectomy outcome in acute ischaemic stroke using deep learning.

The advent of endovascular thrombectomy has significantly improved outcomes for stroke patients with...

Jul 2025 39827468

Potential role of large language models and personalized medicine to innovate cardiac rehabilitation.

Cardiac rehabilitation is a crucial multidisciplinary approach to improve patient outcomes. There is...

Jul 2025 40620453

Regularizing Log-Linear Cost Models for Inpatient Stays by Merging ICD-10 Codes

Cost models in healthcare research must balance interpretability, accuracy, and parameter consiste...

Jul 2025 http://arxiv.org/abs/2507.03843v1

PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset

Multimodal deep learning holds promise for improving clinical prediction by integrating diverse pa...

Jul 2025 http://arxiv.org/abs/2507.03165v1

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs

This study evaluates how well large language models (LLMs) can classify ICD-10 codes from hospital...

Jul 2025 http://arxiv.org/abs/2507.03001v1

Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept

Triage errors, including undertriage and overtriage, are persistent challenges in emergency depart...

Jul 2025 http://arxiv.org/abs/2507.01080v1

Machine learning approaches for predicting prolonged hospital length of stay after lumbar fusion surgery in patients aged 75 years and older: a retrospective cohort study based on comprehensive geriatric assessment.

OBJECTIVE: Postoperative recovery following lumbar fusion surgery in patients aged 75 years and olde...

Jul 2025 40591969

Evaluating the Prognostic Value of Kansas City Cardiomyopathy Questionnaire (KCCQ) Scores for 6-Month Readmissions in Southeast Asian Populations With Heart Failure.

BACKGROUND: Heart failure (HF) is a prevalent cause of hospital readmissions. Our study aims to dete...

Jul 2025 40599121

EVALUATION OF PROGNOSTIC RISK MODELS BASED ON AGE AND COMORBIDITY IN SEPTIC PATIENTS: INSIGHTS FROM MACHINE LEARNING AND TRADITIONAL METHODS IN A LARGE-SCALE, MULTICENTER, RETROSPECTIVE STUDY.

Background: Age and comorbidity significantly impact the prognosis of septic patients and inform tre...

Jul 2025 39965627

Insights into suspended sediment and microplastic budget of a lowland river: integrating in-situ measurements, Sentinel-2 imagery, and machine learning.

The calculations on fluvial microplastic load (MPL) provide dynamic and actionable metrics for under...

Jul 2025 40414059