Practice Management

Information Technology

Latest AI and machine learning research in information technology for healthcare professionals.

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Enabling artificial intelligence in high acuity medical environments.

Acute patient treatment can heavily profit from AI-based assistive and decision support systems, in ...

A hybrid neural network model for predicting kidney disease in hypertension patients based on electronic health records.

BACKGROUND: Disease prediction based on Electronic Health Records (EHR) has become one hot research ...

Automated feature selection of predictors in electronic medical records data.

The use of Electronic Health Records (EHR) for translational research can be challenging due to diff...

QAnalysis: a question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research.

BACKGROUND: While doctors should analyze a large amount of electronic medical record (EMR) data to c...

Machine learning for patient risk stratification for acute respiratory distress syndrome.

BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual...

The day when computers read between lines.

There is a growing notion that artificial general intelligence (AGI) will replace some of the work d...

LSTM Model for Prediction of Heart Failure in Big Data.

The combination of big data and deep learning is a world-shattering technology that can make a great...

Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

The feasibility of integrating remote presence technology within a simulation scenario for psychiatr...

Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity.

BACKGROUND: Smoking is an established risk factor for oral diseases and, therefore, dental clinician...

Automatically identifying social isolation from clinical narratives for patients with prostate Cancer.

BACKGROUND: Social isolation is an important social determinant that impacts health outcomes and mor...

HABITAT: An IoT Solution for Independent Elderly.

In this work, a flexible and extensive digital platform for Smart Homes is presented, exploiting the...

Drivers for the development of an Animal Health Surveillance Ontology (AHSO).

Comprehensive reviews of syndromic surveillance in animal health have highlighted the hindrances to ...

Distributed learning from multiple EHR databases: Contextual embedding models for medical events.

Electronic health record (EHR) data provide promising opportunities to explore personalized treatmen...

Introduction to artificial intelligence in medicine.

The term Artificial Intelligence (AI) was coined by John McCarthy in 1956 during a conference held o...

Machine learning models for early sepsis recognition in the neonatal intensive care unit using readily available electronic health record data.

BACKGROUND: Rapid antibiotic administration is known to improve sepsis outcomes, however early diagn...

Machine Learning, Natural Language Processing, and the Electronic Health Record: Innovations in Mental Health Services Research.

An unprecedented amount of clinical information is now available via electronic health records (EHRs...

A Telemedicine Robot System for Assisted and Independent Living.

The emerging demographic trends toward an aging population, demand new ways and solutions to improve...

Rare disease knowledge enrichment through a data-driven approach.

BACKGROUND: Existing resources to assist the diagnosis of rare diseases are usually curated from the...

Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine.

The diagnosis of type 2 diabetes (T2D) at an early stage has a key role for an adequate T2D integrat...

An attention based deep learning model of clinical events in the intensive care unit.

This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an a...

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care....

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