AIMC Topic: Feasibility Studies
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Reducing scan time of paediatric Tc-DMSA SPECT via deep learning.
Clinical radiology
Dec 16, 2020
AIM: To investigate the feasibility of reducing the scan time of paediatric technetium 99m (Tc) dimercaptosuccinic acid (DMSA) single-photon-emission computed tomographic (SPECT) using a deep learning (DL) method.
Recent advances in constraint and machine learning-based metabolic modeling by leveraging stoichiometric balances, thermodynamic feasibility and kinetic law formalisms.
Metabolic engineering
Dec 10, 2020
Understanding the governing principles behind organisms' metabolism and growth underpins their effective deployment as bioproduction chassis. A central objective of metabolic modeling is predicting how metabolism and growth are affected by both exter...
A deep learning diagnostic platform for diffuse large B-cell lymphoma with high accuracy across multiple hospitals.
Nature communications
Nov 26, 2020
Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies. Pathologic diagnosis requires labor-intensive reading of a large number of tissue slides with high diagnostic accuracy equal or close to 100 percent to guide trea...
Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning.
Scientific reports
Nov 23, 2020
Differentiating pseudoprogression from true tumor progression has become a significant challenge in follow-up of diffuse infiltrating gliomas, particularly high grade, which leads to a potential treatment delay for patients with early glioma recurren...
Evaluation of the feasibility of an error-minimized approach to powered wheelchair skills training using shared control.
Disability and rehabilitation. Assistive technology
Nov 20, 2020
BACKGROUND: Powered wheelchairs promote participation for people with mobility limitations. For older adults with cognitive impairment, existing training methods may not address learning needs, leading to difficulty with powered wheelchair skills. Er...
The effect of PARO robotic seals for hospitalized patients with dementia: A feasibility study.
Geriatric nursing (New York, N.Y.)
Nov 20, 2020
Robotic seals have been studied in long-term care settings; though, no studies of patients with dementia in the acute care setting have been reported. The purpose of this study was to evaluate the feasibility of PARO interventions for hospitalized pa...
Machine learning to predict early TNF inhibitor users in patients with ankylosing spondylitis.
Scientific reports
Nov 20, 2020
We aim to generate an artificial neural network (ANN) model to predict early TNF inhibitor users in patients with ankylosing spondylitis. The baseline demographic and laboratory data of patients who visited Samsung Medical Center rheumatology clinic ...
Automated estimation of echocardiogram image quality in hospitalized patients.
The international journal of cardiovascular imaging
Nov 19, 2020
We developed a machine learning model for efficient analysis of echocardiographic image quality in hospitalized patients. This study applied a machine learning model for automated transthoracic echo (TTE) image quality scoring in three inpatient grou...
Case-Control Studies
Inpatients
Predictive Value of Tests
Feasibility Studies
Automation
Video Recording
Image Interpretation, Computer-Assisted
Male
Echocardiography
Middle Aged
Respiration, Artificial
Hospitalization
Aged
Aged, 80 and over
Adult
Machine Learning
Female
Reproducibility of Results
Humans
Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods.
Acta radiologica (Stockholm, Sweden : 1987)
Nov 17, 2020
BACKGROUND: Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be...
A Prospective Validation and Observer Performance Study of a Deep Learning Algorithm for Pathologic Diagnosis of Gastric Tumors in Endoscopic Biopsies.
Clinical cancer research : an official journal of the American Association for Cancer Research
Nov 10, 2020
PURPOSE: Gastric cancer remains the leading cause of cancer-related deaths in Northeast Asia. Population-based endoscopic screenings in the region have yielded successful results in early detection of gastric tumors. Endoscopic screening rates are co...
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