Latest Articles for Electronic Health Records

EHR-ML enhances predictive modeling in healthcare for better patient outcomes.

This study shows how machine learning can improve diagnostic pathways for complex diseases.

Research highlights the link between sleep and Alzheimer's using NLP algorithms.

A study on methods for detecting psychosis through electronic health records.

CLAIME integrates structured and unstructured EHR data for better healthcare insights.

Study examines AI's effectiveness in generating patient discharge summaries.

Using a new model to predict patient outcomes from Electronic Health Records.

This article discusses a novel framework for identifying drug side effects over time.

Study evaluates LLMs for detecting housing instability in clinical notes.

Research explores AI's role in identifying cognitive decline using electronic health records.

AI model Merlin improves the reading of abdominal CT scans.

Addressing missing data is vital for reliable healthcare research and patient care.

A new model enhances precision in cancer therapy based on individual patient profiles.

A new model enhances efficiency in cohort studies within healthcare analytics.

Exploring the role of synthetic data in enhancing healthcare AI systems.

This project streamlines discharge summaries, reducing the documentation burden on doctors.

Combining chest X-ray images and EHR enhances diagnostic accuracy.

A new tool automates the anonymization of medical records for privacy protection.

This study aims to enhance diagnosis accuracy using advanced models and knowledge graphs.

MEDFuse combines structured and unstructured data for better health outcome predictions.

Exploring Hyperledger Fabric's impact on electronic health records in South Africa.

This study focuses on using language models to identify adverse drug events from clinical notes.

A new approach predicts multidrug resistance risk in ICU patients using patient data.

A new method for protecting medical data using blockchain and self-sovereign identity.

Examining methods for estimating treatment effects with missing data in electronic health records.

A new model enhances the prediction of high-risk patients using historical data.

ARCI improves medication recommendations through advanced data analysis techniques.

Using digital twins to improve healthcare predictions and treatment outcomes.

The Common Longitudinal ICU Data Format enhances patient data organization for better care.

This study develops a reliable model to predict mortality in heart failure patients in ICUs.

Nurses adapt to new challenges in remote patient care technology.

A study aims to find new treatment possibilities using existing medications and AI.

A model uses electronic health records to predict future hip replacement needs.

This framework enhances the creation of codelists for better patient management.

Research on predicting antibiotic resistance for patients with bloodstream infections.

Survey reveals attitudes toward health apps and data sharing across generations.

Deep learning improves healthcare analytics through enhanced medical data representation.

Research reveals key symptoms for early detection of severe mental disorders.

New methods boost predictions of future health issues using medical imaging.

A platform improving the use of health records for research.