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Subcategories: Hospitalists Infection Control Intensivists Nursing Risk Management Surveillance

Showing 2878-2898 of 8,559 articles

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...

(1)

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...

(1)

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

Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Acute Respiratory Distress Syndrome (ARDS), characterized by the rapid onset of respiratory failure ...

Jul 2025 40419238

Machine Learning-Based Prediction to Support ICU Admission Decision Making among Very Old Patients with Respiratory Infections: A Proof of Concept on a Nationwide Population-Based Cohort Study.

BackgroundIntensive care unit (ICU) hospitalizations of very old patients with acute respiratory inf...

Jul 2025 40377186

[Rethinking scientific integrity in plastic surgery: Reflections on editorial and institutional responsibilities].

Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...

Jul 2025 40374450

Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data.

In healthcare, predictive analysis using unstructured medical data is crucial for gaining insights i...

Jul 2025 40286587

A comprehensive review of ICU readmission prediction models: From statistical methods to deep learning approaches.

The prediction of Intensive Care Unit (ICU) readmission has become a crucial area of research due to...

Jul 2025 40300338

Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.

Anesthesiology has a longstanding commitment to patient safety, characterized by innovative research...

Jul 2025 40333433

DeVisE: Behavioral Testing of Medical Large Language Models

Large language models (LLMs) are increasingly used in clinical decision support, yet current evalu...

Jun 2025 http://arxiv.org/abs/2506.15339v1

Abstract Meaning Representation for Hospital Discharge Summarization

The Achilles heel of Large Language Models (LLMs) is hallucination, which has drastic consequences...

Jun 2025 http://arxiv.org/abs/2506.14101v1

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

Objective: To evaluate whether preoperative body composition metrics automatically extracted from ...

Jun 2025 http://arxiv.org/abs/2506.11996v2

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

Objective: To evaluate whether preoperative body composition metrics automatically extracted from ...

Jun 2025 http://arxiv.org/abs/2506.11996v1

Jun 2025 http://arxiv.org/abs/2506.03209v1

Cluster discharge resonance neuron model and its application in machinery multi-dimensional fault vibration signals.

Through the analysis of multidimensional vibration signals of machinery, existing faults in mechanic...

(2)

Jun 2025 40492844

Browse Categories

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

Evaluating Hierarchical Clinical Document Classification Using Reasoning-Based LLMs

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

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.

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

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.

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

Predictive modeling of ARDS mortality integrating biomarker/cytokine, clinical and metabolomic data.

Machine Learning-Based Prediction to Support ICU Admission Decision Making among Very Old Patients with Respiratory Infections: A Proof of Concept on a Nationwide Population-Based Cohort Study.

[Rethinking scientific integrity in plastic surgery: Reflections on editorial and institutional responsibilities].

Healing with hierarchy: Hierarchical attention empowered graph neural networks for predictive analysis in medical data.

A comprehensive review of ICU readmission prediction models: From statistical methods to deep learning approaches.

Emerging Technology and the Future of Perioperative Care: Perspectives and Recommendations From the 2023 Stoelting Conference of the Anesthesia Patient Safety Foundation.

DeVisE: Behavioral Testing of Medical Large Language Models

Abstract Meaning Representation for Hospital Discharge Summarization

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

Improving Surgical Risk Prediction Through Integrating Automated Body Composition Analysis: a Retrospective Trial on Colectomy Surgery

MMMG: A Massive, Multidisciplinary, Multi-Tier Generation Benchmark for Text-to-Image Reasoning

SHAP-Driven Feature Analysis Approach for Epileptic Seizure Prediction.

Predicting Postoperative Stroke in Elderly SICU Patients: An Interpretable Machine Learning Model Using MIMIC Data

Cluster discharge resonance neuron model and its application in machinery multi-dimensional fault vibration signals.

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