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Implementing Medical Chatbots: An Application on Hidradenitis Suppurativa.
Dermatology (Basel, Switzerland)
Mar 19, 2021
BACKGROUND: The use of digital health resources is growing quickly as they are easily accessible and permit self-evaluation. Yet, research on consumer health informatics platforms is insufficient. Chatbots, interactive conversational platforms based ...
Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.
American journal of nephrology
Mar 19, 2021
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare.
Deep-learning based fully automatic segmentation of the globus pallidus interna and externa using ultra-high 7 Tesla MRI.
Human brain mapping
Mar 18, 2021
Deep brain stimulation (DBS) surgery has been shown to dramatically improve the quality of life for patients with various motor dysfunctions, such as those afflicted with Parkinson's disease (PD), dystonia, and essential tremor (ET), by relieving mot...
Assessment of medication self-administration using artificial intelligence.
Nature medicine
Mar 18, 2021
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. ...
Integrating human services and criminal justice data with claims data to predict risk of opioid overdose among Medicaid beneficiaries: A machine-learning approach.
PloS one
Mar 18, 2021
Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with h...
Deep Learning to Estimate Biological Age From Chest Radiographs.
JACC. Cardiovascular imaging
Mar 17, 2021
OBJECTIVES: The goal of this study was to assess whether a deep learning estimate of age from a chest radiograph image (CXR-Age) can predict longevity beyond chronological age.
Deep learning based segmentation of brain tissue from diffusion MRI.
NeuroImage
Mar 16, 2021
Segmentation of brain tissue types from diffusion MRI (dMRI) is an important task, required for quantification of brain microstructure and for improving tractography. Current dMRI segmentation is mostly based on anatomical MRI (e.g., T1- and T2-weigh...
Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation.
JMIR public health and surveillance
Mar 16, 2021
BACKGROUND: Social media are important for monitoring perceptions of public health issues and for educating target audiences about health; however, limited information about the demographics of social media users makes it challenging to identify conv...
Age estimates from brain magnetic resonance images of children younger than two years of age using deep learning.
Magnetic resonance imaging
Mar 12, 2021
The accuracy of brain age estimates from magnetic resonance (MR) images has improved with the advent of deep learning artificial intelligence (AI) models. However, most previous studies on predicting age emphasized aging from childhood to adulthood a...
Is artificial intelligence a solution to the myopia pandemic?
The British journal of ophthalmology
Mar 12, 2021
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