Practice Management

Information Technology

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

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Facilitating the Development of Deep Learning Models with Visual Analytics for Electronic Health Records.

Electronic health record (EHR) data are widely used to perform early diagnoses and create treatment ...

Nov 2020 33182703
TAPER: Time-Aware Patient EHR Representation.

Effective representation learning of electronic health records is a challenging task and is becoming...

Nov 2020 32287023
Prediction of severe chest injury using natural language processing from the electronic health record.

INTRODUCTION: Trauma injury severity scores are currently calculated retrospectively from the electr...

Oct 2020 33131794
Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.

This study aimed to investigate the needs of medical users of telemedicine robots to encourage inte...

Oct 2020 33095109
A Randomized Study Using Telepresence Robots for Behavioral Health in Interprofessional Practice and Education.

The events of the coronavirus disease 2019 (COVID-19) pandemic forced the world to adopt telemedici...

Oct 2020 33090088
Graphical Presentations of Clinical Data in a Learning Electronic Medical Record.

BACKGROUND: Complex electronic medical records (EMRs) presenting large amounts of data create risks ...

Oct 2020 33058103
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management.

Ambulatory monitoring is increasingly important for cardiovascular care but is often limited by the ...

Oct 2020 33037325
Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data.

BACKGROUND: With cardiovascular disease increasing, substantial research has focused on the developm...

Oct 2020 33008368
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms.

Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive d...

Oct 2020 33009423
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...

Oct 2020 34113927
[Big Data, AI and Machine Learning for Precision Psychiatry: How are they changing the clinical practice?].

Currently, we are witnessing an increasing interest in predictive models and personalized diagnosis ...

Sep 2020 32998163
Machine learning prediction of the adverse outcome for nontraumatic subarachnoid hemorrhage patients.

OBJECTIVE: Subarachnoid hemorrhage (SAH) is often devastating with increased early mortality, partic...

Sep 2020 32990362
Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach.

BACKGROUND: Deep learning models have attracted significant interest from health care researchers du...

Sep 2020 32985996
De-identifying free text of Japanese electronic health records.

BACKGROUND: Recently, more electronic data sources are becoming available in the healthcare domain. ...

Sep 2020 32958039
Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction.

BACKGROUND AND OBJECTIVE: Alzheimer's disease (AD) is the most common type of dementia that can seri...

Sep 2020 33011665
Artificial intelligence in medicine creates real risk management and litigation issues.

The next step in the evolution of electronic medical record (EMR) use is the integration of artifici...

Sep 2020 32945048
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled...

Sep 2020 33042268
Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.

CONTEXT: Goals-of-care discussions are an important quality metric in palliative care. However, goal...

Aug 2020 32858164
Using machine learning for predicting cervical cancer from Swedish electronic health records by mining hierarchical representations.

Electronic health records (EHRs) contain rich documentation regarding disease symptoms and progressi...

Aug 2020 32822401
Toward automated severe pharyngitis detection with smartphone camera using deep learning networks.

PURPOSE: Severe pharyngitis is frequently associated with inflammations caused by streptococcal phar...

Aug 2020 32871294
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