AIMC Topic:
Young Adult
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Predicting youth diabetes risk using NHANES data and machine learning.
Scientific reports
May 27, 2021
Prediabetes and diabetes mellitus (preDM/DM) have become alarmingly prevalent among youth in recent years. However, simple questionnaire-based screening tools to reliably assess diabetes risk are only available for adults, not youth. As a first step ...
Developing a short-term prediction model for asthma exacerbations from Swedish primary care patients' data using machine learning - Based on the ARCTIC study.
Respiratory medicine
May 26, 2021
OBJECTIVE: The ability to predict impending asthma exacerbations may allow better utilization of healthcare resources, prevention of hospitalization and improve patient outcomes. We aimed to develop models using machine learning to predict risk of ex...
Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods.
Journal of managed care & specialty pharmacy
May 25, 2021
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely b...
Using deep learning convolutional neural networks to automatically perform cerebral aqueduct CSF flow analysis.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
May 24, 2021
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cerebrospinal fluid (CSF) flow across the cerebral aqueduct has been utilized for diagnosis of conditions such as normal pressure hydrocephalus (NPH). This...
Deep-Learning-Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies.
The American journal of pathology
May 23, 2021
Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease chronicity and prognosis. Techniques that are typically used for IFTA grading remain manual, leading to variability among pathologists. Accurate IFTA ...
Aesthetic preference for art can be predicted from a mixture of low- and high-level visual features.
Nature human behaviour
May 20, 2021
It is an open question whether preferences for visual art can be lawfully predicted from the basic constituent elements of a visual image. Here, we developed and tested a computational framework to investigate how aesthetic values are formed. We show...
Analysing wideband absorbance immittance in normal and ears with otitis media with effusion using machine learning.
Scientific reports
May 20, 2021
Wideband Absorbance Immittance (WAI) has been available for more than a decade, however its clinical use still faces the challenges of limited understanding and poor interpretation of WAI results. This study aimed to develop Machine Learning (ML) too...
Differentiating the learning styles of college students in different disciplines in a college English blended learning setting.
PloS one
May 20, 2021
Learning styles are critical to educational psychology, especially when investigating various contextual factors that interact with individual learning styles. Drawing upon Biglan's taxonomy of academic tribes, this study systematically analyzed the ...
Accuracy of a Deep Learning System for Classification of Papilledema Severity on Ocular Fundus Photographs.
Neurology
May 19, 2021
OBJECTIVE: To evaluate the performance of a deep learning system (DLS) in classifying the severity of papilledema associated with increased intracranial pressure on standard retinal fundus photographs.
Artificial intelligence could alert for focal skeleton/bone marrow uptake in Hodgkin's lymphoma patients staged with FDG-PET/CT.
Scientific reports
May 17, 2021
To develop an artificial intelligence (AI)-based method for the detection of focal skeleton/bone marrow uptake (BMU) in patients with Hodgkin's lymphoma (HL) undergoing staging with FDG-PET/CT. The results of the AI in a separate test group were comp...
Aged, 80 and over
Young Adult
Adult
Biological Transport
Male
Radiopharmaceuticals
Middle Aged
Humans
Fluorodeoxyglucose F18
Adolescent
Hodgkin Disease
Child
Neural Networks, Computer
Skeleton
Multimodal Imaging
Artificial Intelligence
Musculoskeletal System
Positron Emission Tomography Computed Tomography
Female
Biopsy
Aged
Bone Marrow
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