Hospital-Based Medicine

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

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Showing 2962-2982 of 8,559 articles
Concordance of ChatGPT artificial intelligence decision-making in colorectal cancer multidisciplinary meetings: retrospective study.

BACKGROUND: The objective of this study was to evaluate the concordance between therapeutic recommen...

May 2025 40331891
Early Detection and Remote Care of Frailty for Older Adults Living in Sparsely Populated Rural Areas in Hokkaido, Japan: A Case Study.

The global increase in the number of older people aged 65 and over is causing concern in healthcare ...

May 2025 40525007
Ethical risks in robot health education: A qualitative study.

BackgroundAs health education robots may potentially become a significant support force in nursing p...

May 2025 39138639
Predicting outcomes after hospitalisation for COPD exacerbation using machine learning.

BACKGROUND: Early readmission and death are critical adverse outcomes following hospitalisation due ...

(1)
May 2025 40356797
Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study.

BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care...

May 2025 40269426
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction

Non-muscle-invasive bladder cancer (NMIBC) is a relentless challenge in oncology, with recurrence ...

Hallucinations and Key Information Extraction in Medical Texts: A Comprehensive Assessment of Open-Source Large Language Models

Clinical summarization is crucial in healthcare as it distills complex medical data into digestibl...

Assessing the Impact of External and Internal Factors on Emergency Department Overcrowding

Study Objective: To analyze the factors influencing Emergency Department (ED) overcrowding by exam...

Machine Learning and Statistical Insights into Hospital Stay Durations: The Italian EHR Case

Length of hospital stay is a critical metric for assessing healthcare quality and optimizing hospi...

Learning to fuse: dynamic integration of multi-source data for accurate battery lifespan prediction

Accurate prediction of lithium-ion battery lifespan is vital for ensuring operational reliability ...

(2)
Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations

Background and Objectives: Multidrug Resistance (MDR) is a critical global health issue, causing i...

(1)
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders

Ordering a minimal subset of lab tests for patients in the intensive care unit (ICU) can be challe...

Optimizing Post-Cancer Treatment Prognosis: A Study of Machine Learning and Ensemble Techniques

The aim is to create a method for accurately estimating the duration of post-cancer treatment, par...

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...

(2)
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...

Inferring Outcome Means of Exponential Family Distributions Estimated by Deep Neural Networks

While deep neural networks (DNNs) are widely used for prediction, inference on DNN-estimated subje...

ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling

The temporal complexity of electronic health record (EHR) data presents significant challenges for...

(1)
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting

Accurate prediction of Length of Stay (LOS) in hospitals is crucial for improving healthcare servi...

Towards deployment-centric multimodal AI beyond vision and language

Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to i...

(1)
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 ...

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