AIMC Topic: Proof of Concept Study
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Exploring the diagnostic effectiveness for myocardial ischaemia based on CCTA myocardial texture features.
BMC cardiovascular disorders
Aug 31, 2021
BACKGROUND: To explore the characteristics of myocardial textures on coronary computed tomography angiography (CCTA) images in patients with coronary atherosclerotic heart disease, a classification model was established, and the diagnostic effectiven...
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Proof of Concept Study
Myocardial Ischemia
Multidetector Computed Tomography
Computed Tomography Angiography
Male
Middle Aged
Predictive Value of Tests
Coronary Angiography
Retrospective Studies
Female
Reproducibility of Results
Aged
Humans
Machine Learning
A proof of concept study for machine learning application to stenosis detection.
Medical & biological engineering & computing
Aug 28, 2021
This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdominal aorta bifurcating into the two common iliacs. A virtual patient ...
Deep learning in forensic shotgun pattern interpretation - A proof-of-concept study.
Legal medicine (Tokyo, Japan)
Aug 25, 2021
Little is known about the potential of artificial intelligence in forensic shotgun pattern interpretation. As shooting distance is among the main factors behind shotgun patterning, this proof-of-concept study aimed to explore the potential of neural ...
Staged reflexive artificial intelligence driven testing algorithms for early diagnosis of pituitary disorders.
Clinical biochemistry
Aug 23, 2021
BACKGROUND: Sellar masses (SM) frequently present with insidious hormonal dysfunction. We previously showed that, by utilizing a combined reflex/reflecting approach involving a laboratory clinician (LC) on common endocrine test results requested by n...
Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis.
Scientific reports
Aug 12, 2021
Predicting the response of patients with ulcerative colitis (UC) to a biologic such as vedolizumab (VDZ) before administration is an unmet need for optimizing individual patient treatment. We hypothesized that the machine-learning approach with daily...
Real-time prediction of intradialytic relative blood volume: a proof-of-concept for integrated cloud computing infrastructure.
BMC nephrology
Aug 9, 2021
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to intradialytic symptoms, such as hypotension, nausea, vomiting, and cramping/myalgia. Relative blood volume (RBV) plays an important role in adapting the ...
Predicting pain among female survivors of recent interpersonal violence: A proof-of-concept machine-learning approach.
PloS one
Jul 29, 2021
Interpersonal violence (IPV) is highly prevalent in the United States and is a major public health problem. The emergence and/or worsening of chronic pain are known sequelae of IPV; however, not all those who experience IPV develop chronic pain. To m...
Predicting subclinical psychotic-like experiences on a continuum using machine learning.
NeuroImage
Jul 22, 2021
Previous studies applying machine learning methods to psychosis have primarily been concerned with the binary classification of chronic schizophrenia patients and healthy controls. The aim of this study was to use electroencephalographic (EEG) data a...
Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.
Journal of Korean medical science
Jul 12, 2021
BACKGROUND: Rapid triage reduces the patients' stay time at an emergency department (ED). The Korean Triage Acuity Scale (KTAS) is mandatorily applied at EDs in South Korea. For rapid triage, we studied machine learning-based triage systems composed ...
Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.
Hepatology communications
Jul 7, 2021
Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelli...
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