Information Technology

A Novel Sentence Transformer-based Natural Language Processing Approach for Schema Mapping of Electronic Health Records to the OMOP Common Data Model.

Mapping electronic health records (EHR) data to common data models (CDMs) enables the standardizatio...

Artificial intelligence and health information: A bibliometric analysis of three decades of research.

Information on the application of artificial intelligence (AI) in healthcare is needed to align heal...

Dilemmas and prospects of artificial intelligence technology in the data management of medical informatization in China: A new perspective on SPRAY-type AI applications.

This study aims to address the critical challenges of data integrity, accuracy, consistency, and pr...

Current Scenario and Future Prospects of Adverse Drug Reactions (ADRs) Monitoring and Reporting Mechanisms in the Rural Areas of India.

Pharmacovigilance (PV) deals with the detection, collection, assessment, understanding, and preventi...

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With the emergence of innovations and technological advancements – exemplified by telemedicine...

The Growing Impact of Natural Language Processing in Healthcare and Public Health.

Natural Language Processing (NLP) is a subset of Artificial Intelligence, specifically focused on un...

Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!

Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a ...

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

OBJECTIVE: Development of electronic health records (EHR)-based machine learning models for pediatri...

Enhancing Healthcare Through Telehealth Ecosystems: Impacts and Prospects.

This poster presents a comprehensive assessment of the transformative potential of telehealth ecosys...

Advances and opportunities in the new digital era of telemedicine, e-health, artificial intelligence, and beyond.

[Exploration of remote management and an intelligent platform for in-hospital respiratory therapy].

The construction of an intelligent remote management platform for respiratory therapy, utilizing art...

AI Chatbots, Health Privacy, and Challenges to HIPAA Compliance.

Upper-Limb Rehabilitation of Patients with Neuromotor Deficits Using Impedance-Based Control of a 6-DOF Robot.

This paper presents a study on the use of impedance-based control of a 6-degree-of-freedom robot for...

Fall Risk Prediction in Older Adults Using Free-Text Nursing Notes and Medications in Electronic Health Records.

Nursing notes in Electronic Health Records (EHR) contain critical health information, including fall...

Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions.

The integration of Electronic Health Records (EHRs) with Machine Learning (ML) models has become imp...

Meta-EHR: A meta-learning approach for electronic health records with a high imbalanced ratio and missing rate.

Data imbalance is a practical and crucial issue in deep learning. Moreover, real-world datasets, suc...

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity.

Hospitalized patients sometimes have complex health conditions, such as multiple diseases, underlyin...

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease.

Objective and quantitative monitoring of movement impairments is crucial for detecting progression i...

PPAD: a deep learning architecture to predict progression of Alzheimer's disease.

MOTIVATION: Alzheimer's disease (AD) is a neurodegenerative disease that affects millions of people ...

The Progress of Speech Recognition in Health Care: Surgery as an Example.

Artificial Intelligence (AI) is a computer system that simulates intelligent human behavior. The use...

Bottom-up and top-down paradigms of artificial intelligence research approaches to healthcare data science using growing real-world big data.

OBJECTIVES: As the real-world electronic health record (EHR) data continue to grow exponentially, no...