Hospital-Based Medicine

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

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The Application of MATEC (Multi-AI Agent Team Care) Framework in Sepsis Care

Under-resourced or rural hospitals have limited access to medical specialists and healthcare profe...

(1)
Reinforcement Learning on Dyads to Enhance Medication Adherence

Medication adherence is critical for the recovery of adolescents and young adults (AYAs) who have ...

Efficient extraction of medication information from clinical notes: an evaluation in two languages

Objective: To evaluate the accuracy, computational cost and portability of a new Natural Language ...

Machine Learning in Optimising Nursing Care Delivery Models: An Empirical Analysis of Hospital Wards.

OBJECTIVE: This study aims to assess the performance of machine learning (ML) techniques in optimisi...

Feb 2025 39835767
Predicting In-Hospital Fall Risk Using Machine Learning With Real-Time Location System and Electronic Medical Records.

BACKGROUND: Hospital falls are the most prevalent and fatal event in healthcare, posing significant ...

(2)
Feb 2025 39994910
A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre

Patient length of stay (LoS) is a critical metric for evaluating the efficacy of hospital manageme...

Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers

A patient undergoes multiple examinations in each hospital stay, where each provides different fac...

[Intelligent Monitoring System Based on Computer Vision and Artificial Intelligence].

To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variab...

(2)
Jan 2025 39993985
VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records

Methods to ensure factual accuracy of text generated by large language models (LLM) in clinical me...

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action

The integration of generative AI (GenAI) and large language models (LLMs) in healthcare presents b...

(1)
URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT

With the rapid advancement of Artificial Intelligence, particularly in Natural Language Processing...

Salvaging Forbidden Treasure in Medical Data: Utilizing Surrogate Outcomes and Single Records for Rare Event Modeling

The vast repositories of Electronic Health Records (EHR) and medical claims hold untapped potentia...

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model

Heart Failure (HF) affects millions of Americans and leads to high readmission rates, posing signi...

(2)
Deep Learning on Hester Davis Scores for Inpatient Fall Prediction

Fall risk prediction among hospitalized patients is a critical aspect of patient safety in clinica...

TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning

We propose TAMER, a Test-time Adaptive MoE-driven framework for Electronic Health Record (EHR) Rep...

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the br...

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has beco...

Excellent agreement between automated deep learning-based and manual DWI infarct volume measurements in hyperacute stroke

Diffusion-weighted imaging (DWI) lesion volume and infarct growth are important imaging markers in a...

Comparative Evaluation of Advanced AI Reasoning Models in Pediatric Clinical Decision Support: ChatGPT O1 vs. DeepSeek-R1

The adoption of advanced reasoning models, such as ChatGPT O1 and DeepSeek-R1, represents a pivotal ...

Is it time for the neurologist to use Large Language Models in everyday practice?

Large Language Models (LLMs) such as ChatGPT and Gemini are gaining momentum in healthcare for their...

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