Latest AI and machine learning research in information technology for healthcare professionals.
Machine learning (ML) is revolutionizing anesthesiology research. Unlike classical research methods ...
BACKGROUND: Scalable and accurate health outcome prediction using electronic health record (EHR) dat...
The introduction of ultrawide field imaging has allowed the visualization of approximately 82% of th...
The medical and machine learning communities are relying on the promise of artificial intelligence (...
Clinical trials often fail to recruit an adequate number of appropriate patients. Identifying eligib...
This paper describes a novel technique for annotating logical forms and answers for clinical questio...
Patient perceptions of wait time during outpatient office visits can affect patient satisfaction. Pr...
Cardiotoxicity related to cancer therapies has become a serious issue, diminishing cancer treatment ...
Surgical Site Infection surveillance in healthcare systems is labor intensive and plagued by underre...
Experiences of sexual trauma are associated with adverse patient and health system outcomes, but ar...
Electronic health record (EHR) data must be mapped to standard information models for interoperabili...
Opioid addiction in the United States has come to national attention as opioid overdose (OD) related...
In this work, we utilize a combination of free-text and structured data to build Acute Respiratory D...
Ischemic stroke is a major cause of death and disability in adulthood worldwide. Because it has high...
Widespread adoption of electronic health records (EHRs) has resulted in the collection of massive am...
BACKGROUND: The main goal of this study is to explore the use of features representing patient-level...
Background Radiofrequency ultrasound data from the liver contain rich information about liver micros...
To address substantial heterogeneity in patient response to treatment of chronic disorders and achie...
Through information and communication technology, telemedicine can deliver medical care without tim...
BACKGROUND: Stroke severity is an important predictor of patient outcomes and is commonly measured w...
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. E...