AIMC Topic: Electronic Health Records
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AI in Health: State of the Art, Challenges, and Future Directions.
Yearbook of medical informatics
Aug 16, 2019
INTRODUCTION: Artificial intelligence (AI) technologies continue to attract interest from a broad range of disciplines in recent years, including health. The increase in computer hardware and software applications in medicine, as well as digitization...
Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study.
BMJ open
Aug 10, 2019
OBJECTIVES: The aim of this work was to train machine learning models to identify patients at end of life with clinically meaningful diagnostic accuracy, using 30-day mortality in patients discharged from the emergency department (ED) as a proxy.
Practical guidance on artificial intelligence for health-care data.
The Lancet. Digital health
Aug 9, 2019
Machine learning in the electrocardiogram.
Journal of electrocardiology
Aug 8, 2019
The electrocardiogram is the most widely used diagnostic tool that records the electrical activity of the heart and, therefore, its use for identifying markers for early diagnosis and detection is of paramount importance. In the last years, the huge ...
Detection of medical text semantic similarity based on convolutional neural network.
BMC medical informatics and decision making
Aug 7, 2019
BACKGROUND: Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need to manually find and compare t...
Automatic extraction and assessment of lifestyle exposures for Alzheimer's disease using natural language processing.
International journal of medical informatics
Aug 6, 2019
INTRODUCTION: Previous biomedical studies identified many lifestyle exposures that could possibly represent risk factors for dementia in general or dementia due to Alzheimer's disease (AD). These lifestyle exposures are mainly mentioned in free-text ...
Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification.
International journal of medical informatics
Aug 5, 2019
BACKGROUND: Diabetic Retinopathy (DR) is considered a pathology of retinal vascular complications, which stays in the top causes of vision impairment and blindness. Therefore, precisely inspecting its progression enables the ophthalmologists to set u...
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.
The Journal of arthroplasty
Aug 3, 2019
BACKGROUND: Quality monitoring is increasingly important to support and assure sustainability of the orthopedic practice. Surgeons in nonacademic settings often lack resources to accurately monitor quality of care. Widespread use of electronic medica...
Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support.
JAMA network open
Aug 2, 2019
IMPORTANCE: Pulmonary embolism (PE) is a life-threatening clinical problem, and computed tomographic imaging is the standard for diagnosis. Clinical decision support rules based on PE risk-scoring models have been developed to compute pretest probabi...
Combining patient visual timelines with deep learning to predict mortality.
PloS one
Jul 31, 2019
BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representati...
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