Practice Management

Information Technology

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

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Digital Data Sources and Their Impact on People's Health: A Systematic Review of Systematic Reviews.

Digital data sources have become ubiquitous in modern culture in the era of digital technology but ...

May 2021 34026711
Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.

Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administ...

May 2021 33786999
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit.

Electronic health records (EHR) contain large volumes of unstructured text, requiring the applicatio...

May 2021 34127232
Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection.

Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very...

Apr 2021 33903608
Contextual embedding bootstrapped neural network for medical information extraction of coronary artery disease records.

Coronary artery disease (CAD) is the major cause of human death worldwide. The development of new CA...

Apr 2021 33893606
A scalable approach for developing clinical risk prediction applications in different hospitals.

OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clini...

Apr 2021 33887456
Three ways of knowing: the integration of clinical expertise, evidence-based medicine, and artificial intelligence in assisted reproductive technologies.

Decision-making in fertility care is on the cusp of a significant frameshift. Online tools to integr...

Apr 2021 33870475
Opportunities and Challenges in Democratizing Immunology Datasets.

The field of immunology is rapidly progressing toward a systems-level understanding of immunity to t...

Apr 2021 33936065
Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be.

Understanding a patient's medical history, such as how long symptoms last or when a procedure was pe...

Apr 2021 33862232
Characterizing chronological accumulation of comorbidities in healthy veterans: a computational approach.

Understanding patient accumulation of comorbidities can facilitate healthcare strategy and personali...

Apr 2021 33854078
Leveraging data and AI to deliver on the promise of digital health.

Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortun...

Apr 2021 33866232
Derivation and validation of a machine learning risk score using biomarker and electronic patient data to predict progression of diabetic kidney disease.

AIM: Predicting progression in diabetic kidney disease (DKD) is critical to improving outcomes. We s...

Apr 2021 33797560
Automatic phenotyping of electronical health record: PheVis algorithm.

Electronic Health Records (EHRs) often lack reliable annotation of patient medical conditions. Pheno...

Mar 2021 33746080
Key factors in a rigorous longitudinal image-based assessment of retinopathy of prematurity.

To describe a database of longitudinally graded telemedicine retinal images to be used as a comparat...

Mar 2021 33686091
Disease Prediction via Graph Neural Networks.

With the increasingly available electronic medical records (EMRs), disease prediction has recently g...

Mar 2021 32749976
Personalized prediction of early childhood asthma persistence: A machine learning approach.

Early childhood asthma diagnosis is common; however, many children diagnosed before age 5 experience...

Mar 2021 33647071
Leveraging electronic health records data to predict multiple sclerosis disease activity.

OBJECTIVE: No relapse risk prediction tool is currently available to guide treatment selection for m...

Feb 2021 33626237
On kernel machine learning for propensity score estimation under complex confounding structures.

Post marketing data offer rich information and cost-effective resources for physicians and policy-ma...

Feb 2021 33619894
Application of Deep Learning for Diagnosing, Classifying, and Treating Age-Related Macular Degeneration.

Age-related macular degeneration (AMD) affects nearly 200 million people and is the third leading ca...

Feb 2021 33617390
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