AIMC Topic:
Predictive Value of Tests
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Enhanced Diagnosis of Severe Aortic Stenosis Using Artificial Intelligence: A Proof-of-Concept Study of 530,871 Echocardiograms.
JACC. Cardiovascular imaging
Dec 18, 2019
Proof of Concept Study
Aortic Valve Stenosis
Aortic Valve
Predictive Value of Tests
Image Interpretation, Computer-Assisted
Aged, 80 and over
Adult
Male
Ventricular Function, Left
Severity of Illness Index
Hemodynamics
Diagnosis, Computer-Assisted
Echocardiography
Middle Aged
Databases, Factual
Prognosis
Female
Aged
Humans
Artificial Intelligence
Calibration: the Achilles heel of predictive analytics.
BMC medicine
Dec 16, 2019
BACKGROUND: The assessment of calibration performance of risk prediction models based on regression or more flexible machine learning algorithms receives little attention.
Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity.
Journal of neural engineering
Dec 16, 2019
OBJECTIVE: Somatic symptom disorder (SSD) is a reflection of medically unexplained physical symptoms that lead to distress and impairment in social and occupational functioning. SSD is phenomenologically diagnosed and its neurobiology remains unsolve...
Predicting the occurrence of surgical site infections using text mining and machine learning.
PloS one
Dec 13, 2019
In this study we propose the use of text mining and machine learning methods to predict and detect Surgical Site Infections (SSIs) using textual descriptions of surgeries and post-operative patients' records, mined from the database of a high complex...
Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.
Neuroradiology
Dec 11, 2019
PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prioritization of acute intracranial hemorrhage on non-contrast head CT (NCCT) in various clinical settings at an academic medical center.
Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction.
Journal of neurointerventional surgery
Dec 10, 2019
BACKGROUND: Angiographic parametric imaging (API), based on digital subtraction angiography (DSA), is a quantitative imaging tool that may be used to extract contrast flow parameters related to hemodynamic conditions in abnormal pathologies such as i...
Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.
Computer methods and programs in biomedicine
Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.
Neural networks : the official journal of the International Neural Network Society
Nov 30, 2019
Humans perceive physical properties such as motion and elastic force by observing objects in visual scenes. Recent research has proven that computers are capable of inferring physical properties from camera images like humans. However, few studies pe...
Clinical calculator predictive of chemotherapy benefit in stage 1A uterine papillary serous cancers.
Gynecologic oncology
Nov 30, 2019
OBJECTIVE: Determine the utility of a clinical calculator to predict the benefit of chemotherapy in stage IA uterine papillary serous cancer (UPSC).
An overview of deep learning algorithms and water exchange in colonoscopy in improving adenoma detection.
Expert review of gastroenterology & hepatology
Nov 30, 2019
: Among the Gastrointestinal (GI) Endoscopy Editorial Board top 10 topics in advances in endoscopy in 2018, water exchange colonoscopy and artificial intelligence were both considered important advances. Artificial intelligence holds the potential to...
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