AIMC Topic: Young Adult
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Automated fibroglandular tissue segmentation in breast MRI using generative adversarial networks.
Physics in medicine and biology
May 19, 2020
Fibroglandular tissue (FGT) segmentation is a crucial step for quantitative analysis of background parenchymal enhancement (BPE) in magnetic resonance imaging (MRI), which is useful for breast cancer risk assessment. In this study, we develop an auto...
Macroscale and microcircuit dissociation of focal and generalized human epilepsies.
Communications biology
May 18, 2020
Thalamo-cortical pathology plays key roles in both generalized and focal epilepsies, but there is little work directly comparing these syndromes at the level of whole-brain mechanisms. Using multimodal imaging, connectomics, and computational simulat...
A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).
BMC neurology
May 18, 2020
BACKGROUND: Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity.
An automated machine learning approach to predict brain age from cortical anatomical measures.
Human brain mapping
May 16, 2020
The use of machine learning (ML) algorithms has significantly increased in neuroscience. However, from the vast extent of possible ML algorithms, which one is the optimal model to predict the target variable? What are the hyperparameters for such a m...
Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.
Diabetes care
May 15, 2020
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of fu...
Predictive Value of Tests
Natural Language Processing
Hypoglycemia
Information Storage and Retrieval
Humans
Male
International Classification of Diseases
Aged
Community Health Planning
Algorithms
Middle Aged
Aged, 80 and over
Clinical Decision Rules
Electronic Health Records
Severity of Illness Index
Young Adult
Female
Diabetes Mellitus, Type 2
Adult
United States
Innovative machine learning approach and evaluation campaign for predicting the subjective feeling of work-life balance among employees.
PloS one
May 15, 2020
At present, many researchers see hope that artificial intelligence, machine learning in particular, will improve several aspects of the everyday life for individuals, cities and whole nations alike. For example, it has been speculated that the so-cal...
Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study.
The Lancet. Digital health
May 14, 2020
BACKGROUND: CT is the most common imaging modality in traumatic brain injury (TBI). However, its conventional use requires expert clinical interpretation and does not provide detailed quantitative outputs, which may have prognostic importance. We aim...
Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.
Journal of the American Heart Association
May 14, 2020
BACKGROUND The correct interpretation of the ECG is pivotal for the accurate diagnosis of many cardiac abnormalities, and conventional computerized interpretation has not been able to reach physician-level accuracy in detecting (acute) cardiac abnorm...
Machine Learning (ML) based-method applied in recurrent pregnancy loss (RPL) patients diagnostic work-up: a potential innovation in common clinical practice.
Scientific reports
May 14, 2020
RPL is a very debated condition, in which many issues concerning definition, etiological factors to investigate or therapies to apply are still controversial. ML could help clinicians to reach an objectiveness in RPL classification and access to care...
Health Care Employees' Perceptions of the Use of Artificial Intelligence Applications: Survey Study.
Journal of medical Internet research
May 14, 2020
BACKGROUND: The advancement of health care information technology and the emergence of artificial intelligence has yielded tools to improve the quality of various health care processes. Few studies have investigated employee perceptions of artificial...
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