Hospital-Based Medicine

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

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Artificial intelligence in colorectal surgery multidisciplinary team approach-From innovation to application.

Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhan...

Apr 2025 40285450
Comparing representations of long clinical texts for the task of patient note-identification

In this paper, we address the challenge of patient-note identification, which involves accurately ...

TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding

Electronic Health Records (EHR) have become a valuable resource for a wide range of predictive tas...

Prediction of 30-day hospital readmission with clinical notes and EHR information

High hospital readmission rates are associated with significant costs and health risks for patient...

Leveraging LLMs for Predicting Unknown Diagnoses from Clinical Notes

Electronic Health Records (EHRs) often lack explicit links between medications and diagnoses, maki...

Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA

To improve the reliability of Large Language Models (LLMs) in clinical applications, retrieval-aug...

Validating Emergency Department Admission Predictions Based on Local Data Through MIMIC-IV

The effective management of Emergency Department (ED) overcrowding is essential for improving pati...

MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways

Inpatient pathways demand complex clinical decision-making based on comprehensive patient informat...

[The application of domestic flexible arm robot in assisting transoral resection of throat tumors].

The current study aimed to evaluate the application value of the domestic otolaryngology-specific fl...

Mar 2025 39931810
MELON: Multimodal Mixture-of-Experts with Spectral-Temporal Fusion for Long-Term Mobility Estimation in Critical Care

Patient mobility monitoring in intensive care is critical for ensuring timely interventions and im...

IoT Integration Protocol for Enhanced Hospital Care

This paper introduces the "IoT Integration Protocol for Enhanced Hospital Care", a comprehensive f...

The ethical considerations of integrating artificial intelligence into surgery: a review.

The integration of artificial intelligence (AI) into surgery raises significant ethical concerns, in...

Mar 2025 39999009
A dataset and benchmark for hospital course summarization with adapted large language models.

OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's h...

Mar 2025 39786555
Reducing readmissions in the safety net through AI and automation.

OBJECTIVES: To implement a technology-based, systemwide readmission reduction initiative in a safety...

Mar 2025 40053406
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences

Explainable AI (XAI) techniques are necessary to help clinicians make sense of AI predictions and ...

[Construction and preliminary validation of machine learning predictive models for cervical cancer screening based on human DNA methylation].

Using methylation characteristics of human genes to construct machine learning predictive models fo...

Feb 2025 39939021
Learning to Teach AI: Understanding the Needs of Healthcare Professionals.

As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimi...

Feb 2025 39968547
Machine learning algorithm approach to complete blood count can be used as early predictor of COVID-19 outcome.

Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease ou...

Feb 2025 39432758
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