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Information Technology

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

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Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data.

Background: Historically, primary care databases have been limited to subsets of the full electronic...

A Deep-Learning-Based Collaborative Edge-Cloud Telemedicine System for Retinopathy of Prematurity.

Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increa...

From big data to better patient outcomes.

Among medical specialties, laboratory medicine is the largest producer of structured data and must p...

Proposed algorithm for smart grid DDoS detection based on deep learning.

The Smart Grid's objective is to increase the electric grid's dependability, security, and efficienc...

MR-KPA: medication recommendation by combining knowledge-enhanced pre-training with a deep adversarial network.

BACKGROUND: Medication recommendation based on electronic medical record (EMR) is a research hot spo...

Electronic Health Record Optimization for Artificial Intelligence.

Laboratory clinical decision support (CDS) typically relies on data from the electronic health recor...

Knowledge Engineering in Chemistry: From Expert Systems to Agents of Creation.

Passing knowledge from human to human is a natural process that has continued since the beginning of...

Using natural language processing to identify opioid use disorder in electronic health record data.

BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...

Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators.

There is a large proliferation of complex data-driven artificial intelligence (AI) applications in m...

Validation of a Deep Learning-Based Model to Predict Lung Cancer Risk Using Chest Radiographs and Electronic Medical Record Data.

IMPORTANCE: Lung cancer screening with chest computed tomography (CT) prevents lung cancer death; ho...

Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection.

Cybersecurity is one of the great challenges of today's world. Rapid technological development has a...

A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost).

The advent of Industry 4.0 has revolutionized the life enormously. There is a growing trend towards ...

Using model explanations to guide deep learning models towards consistent explanations for EHR data.

It has been shown that identical deep learning (DL) architectures will produce distinct explanations...

Multiagent-Based Data Presentation Mechanism for Multifaceted Analysis in Network Management Tasks.

Although network management tasks are highly automated using big data and artificial intelligence te...

Intrusion Detection in IoT Using Deep Learning.

Cybersecurity has been widely used in various applications, such as intelligent industrial systems, ...

Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm.

BACKGROUND: Abdominal aortic aneurysms (AAA) are often identified incidentally on imaging studies. P...

CATNet: Cross-event attention-based time-aware network for medical event prediction.

Medical event prediction (MEP) is a fundamental task in the healthcare domain, which needs to predic...

Artificial intelligence-based methods for fusion of electronic health records and imaging data.

Healthcare data are inherently multimodal, including electronic health records (EHR), medical images...

Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here.

Electronic health records (EHRs) have created great opportunities to collect various information fro...

Natural language processing for identification of hypertrophic cardiomyopathy patients from cardiac magnetic resonance reports.

BACKGROUND: Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratificat...

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