Practice Management

Information Technology

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

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

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

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...

De-identifying free text of Japanese electronic health records.

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

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...

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...

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...

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...

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...

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

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

Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology.

BACKGROUND: A key challenge for improving the quality of health care is to be able to use a common f...

Machine Learning Models to Predict Childhood and Adolescent Obesity: A Review.

The prevalence of childhood and adolescence overweight an obesity is raising at an alarming rate in ...

Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension.

Hypotensive events in the initial stage of anesthesia can cause serious complications in the patient...

Graph Neural Network-Based Diagnosis Prediction.

Diagnosis prediction is an important predictive task in health care that aims to predict the patient...

Medical speciality classification system based on binary particle swarms and ensemble of one vs. rest support vector machines.

Nowadays, artificial intelligence plays an integral role in medical and healthcare informatics. Deve...

Tele-robotics and artificial-intelligence in stroke care.

In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhance...

Explainable artificial intelligence model to predict acute critical illness from electronic health records.

Acute critical illness is often preceded by deterioration of routinely measured clinical parameters,...

Lessons and tips for designing a machine learning study using EHR data.

Machine learning (ML) provides the ability to examine massive datasets and uncover patterns within d...

5G ultra-remote robot-assisted laparoscopic surgery in China.

BACKGROUND: 5G communication technology has been applied to several fields in telemedicine, but its ...

RAHM: Relation augmented hierarchical multi-task learning framework for reasonable medication stocking.

As an important task in digital preventive healthcare management, especially in the secondary preven...

Identification of Patients with Heart Failure in Large Datasets.

Large registries, administrative data, and the electronic health record (EHR) offer opportunities to...

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