Information Technology

Artificial intelligence-assisted telemedicine platform for cataract screening and management: a potential model of care for global eye health.

Clinical Information Systems and Artificial Intelligence: Recent Research Trends.

OBJECTIVES: This survey aims at reviewing the literature related to Clinical Information Systems (CI...

Artificial intelligence predicts the progression of diabetic kidney disease using big data machine learning.

Artificial intelligence (AI) is expected to support clinical judgement in medicine. We constructed a...

Strategies to Tackle the Global Burden of Diabetic Retinopathy: From Epidemiology to Artificial Intelligence.

Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...

A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process.

The primary goal in project portfolio management is to select and manage the optimal set of projects...

Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.

This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and mach...

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.

BACKGROUND: Diabetic Retinopathy (DR) is considered a pathology of retinal vascular complications, w...

What Can We Expect Following Anterior Total Hip Arthroplasty on a Regular Operating Table? A Validation Study of an Artificial Intelligence Algorithm to Monitor Adverse Events in a High-Volume, Nonacademic Setting.

BACKGROUND: Quality monitoring is increasingly important to support and assure sustainability of the...

Readmission prediction using deep learning on electronic health records.

Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose ...

Implementation of a cloud-based referral platform in ophthalmology: making telemedicine services a reality in eye care.

BACKGROUND: Hospital Eye Services (HES) in the UK face an increasing number of optometric referrals ...

TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.

BACKGROUND: Insulin resistance is an early-stage deterioration of Type 2 diabetes. Identification an...

Telemedicine, Telestroke, and Artificial Intelligence Can Be Coded with the International Classification of Health Interventions.

Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record.

OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining k...

A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networks.

The wide applications of automatic disease inference in many medical fields improve the efficiency o...

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.

In order to advance precision medicine, detailed clinical features ought to be described in a way th...

Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records.

BACKGROUND: Dementia is underdiagnosed in both the general population and among Veterans. This under...

Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

OBJECTIVE: Electronic health record (EHR) systems contain structured data (such as diagnostic codes)...

Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.

Electronic health records (EHR) represent a rich resource for conducting observational studies, supp...

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classi...

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

BACKGROUND: Ontology has attracted substantial attention from both academia and industry. Handling u...

Natural Language Processing to Quantify Microbial Keratitis Measurements.

A natural language processing (NLP) algorithm to extract microbial keratitis morphology measurements...