Hospital-Based Medicine

Hospitalists

Latest AI and machine learning research in hospitalists for healthcare professionals.

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Showing 610-630 of 6,126 articles
A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions.

BACKGROUND: The rapid advancement of Artificial Intelligence (AI) has led to its widespread applicat...

May 2025 40375078
Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data.

Depression and anxiety are common comorbidities of stroke. Research has shown that about 30% of stro...

May 2025 40428136
Personalized Nutrition Strategies for Patients in the Intensive Care Unit: A Narrative Review on the Future of Critical Care Nutrition.

Critically ill patients in intensive care units (ICUs) are at high risk of malnutrition, which can ...

May 2025 40431399
Micro hole drilling and multi criteria optimization of soda lime glass via ultrasonic assisted rotary electrochemical discharge drilling.

Regardless of the materials' intrinsic characteristics, electrochemical discharge drilling (ECDD) ef...

May 2025 40346154
Prediction of the functional outcome of intensive inpatient rehabilitation after stroke using machine learning methods.

An accurate and reliable functional prognosis is vital to stroke patients addressing rehabilitation,...

May 2025 40341247
MIMIC-\RNum{4}-Ext-22MCTS: A 22 Millions-Event Temporal Clinical Time-Series Dataset with Relative Timestamp for Risk Prediction

Clinical risk prediction based on machine learning algorithms plays a vital role in modern healthc...

Exploring the Potential of ChatGPT for the Summarization of Patient Medical Histories: A Pilot Study.

Improvements in operations through the use of artificial intelligence (AI) are expected in various f...

May 2025 40525027
Temporal Entailment Pretraining for Clinical Language Models over EHR Data

Clinical language models have achieved strong performance on downstream tasks by pretraining on do...

Prognosis Of Lithium-Ion Battery Health with Hybrid EKF-CNN+LSTM Model Using Differential Capacity

Battery degradation is a major challenge in electric vehicles (EV) and energy storage systems (ESS...

Paging Dr. GPT: Extracting Information from Clinical Notes to Enhance Patient Predictions

There is a long history of building predictive models in healthcare using tabular data from electr...

Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis

Clinical case reports and discharge summaries may be the most complete and accurate summarization ...

Going beyond explainability in multi-modal stroke outcome prediction models

Aim: This study aims to enhance interpretability and explainability of multi-modal prediction mode...

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...

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...

Towards Conditioning Clinical Text Generation for User Control

Deploying natural language generation systems in clinical settings remains challenging despite adv...

CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment

Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its d...

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters

While increasing patients' access to medical documents improves medical care, this benefit is limi...

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...

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