AIMC Topic: Aged, 80 and over

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Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data.

Medical image analysis Aug 3, 2018
This paper aims to address the segmentation and classification of lytic and sclerotic metastatic lesions that are difficult to define by using spinal 3D Computed Tomography (CT) images obtained from highly pathologically affected cases. As the lesion...
Aged, 80 and over Male Middle Aged Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Spinal Neoplasms Humans Neural Networks, Computer Tomography, X-Ray Computed Female Aged
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An Orthopaedic Robotic-Assisted Rehabilitation Method of the Forearm in Virtual Reality Physiotherapy.

Journal of healthcare engineering Aug 1, 2018
The use of robotic rehabilitation in orthopaedics has been briefly explored. Despite its possible advantages, the use of computer-assisted physiotherapy of patients with musculoskeletal injuries has received little attention. In this paper, we detail...
Exercise Physical Therapy Modalities Pilot Projects Stroke Rehabilitation User-Computer Interface Orthopedics Young Adult Virtual Reality Wrist Joint Principal Component Analysis Humans Robotics Adult Computers Elbow Joint Feedback Female Equipment Design Male Aged Calibration Middle Aged Stress, Mechanical Upper Extremity Aged, 80 and over
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Detection of early infarction signs with machine learning-based diagnosis by means of the Alberta Stroke Program Early CT score (ASPECTS) in the clinical routine.

Neuroradiology Jul 31, 2018
PURPOSE: New software solutions emerged to support radiologists in image interpretation in acute ischemic stroke. This study aimed to validate the performance of computer-aided assessment of the Alberta Stroke Program Early CT score (ASPECTS) for det...
Humans Machine Learning Software Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male Middle Aged Observer Variation Predictive Value of Tests Alberta Radiographic Image Interpretation, Computer-Assisted Stroke Infarction, Middle Cerebral Artery Brain Ischemia
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac Catheters Reproducibility of Results Humans Severity of Illness Index Aged Machine Learning Predictive Value of Tests Aged, 80 and over Retrospective Studies Male Coronary Angiography Female Middle Aged Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Multidetector Computed Tomography
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Levenberg-Marquardt Neural Network Algorithm for Degree of Arteriovenous Fistula Stenosis Classification Using a Dual Optical Photoplethysmography Sensor.

Sensors (Basel, Switzerland) Jul 17, 2018
This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to classify the degree of arteriovenous fistula (AVF) stenosis in hemodialysis (HD) patients. Dual PPG measurement node (DPMN) becomes the primary tool in this work for ...
Male Middle Aged Photoplethysmography Constriction, Pathologic Arteriovenous Fistula Neural Networks, Computer Algorithms Female Aged Aged, 80 and over Humans
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A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy.

Gastrointestinal endoscopy Jul 11, 2018
BACKGROUND AND AIMS: GI angiectasia (GIA) is the most common small-bowel (SB) vascular lesion, with an inherent risk of bleeding. SB capsule endoscopy (SB-CE) is the currently accepted diagnostic procedure. The aim of this study was to develop a comp...
Capsule Endoscopy Intestine, Small Intestinal Diseases Angiodysplasia Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Humans Neural Networks, Computer Algorithms Female Aged Aged, 80 and over
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Predicting Post Neoadjuvant Axillary Response Using a Novel Convolutional Neural Network Algorithm.

Annals of surgical oncology Jul 5, 2018
OBJECTIVES: In the postneoadjuvant chemotherapy (NAC) setting, conventional radiographic complete response (rCR) is a poor predictor of pathologic complete response (pCR) of the axilla. We developed a convolutional neural network (CNN) algorithm to b...
Humans Neural Networks, Computer Aged, 80 and over Young Adult Adult Survival Rate Breast Neoplasms Biomarkers, Tumor Algorithms Prognosis Retrospective Studies Female Aged Receptors, Estrogen Chemotherapy, Adjuvant Carcinoma, Lobular Magnetic Resonance Imaging Neoplasm Invasiveness Middle Aged Axilla ROC Curve Receptor, ErbB-2 Antineoplastic Combined Chemotherapy Protocols Carcinoma, Ductal, Breast Neoadjuvant Therapy Follow-Up Studies
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Using natural language processing for identification of herpes zoster ophthalmicus cases to support population-based study.

Clinical & experimental ophthalmology Jul 4, 2018
IMPORTANCE: Diagnosis codes are inadequate for accurately identifying herpes zoster (HZ) ophthalmicus (HZO). There is significant lack of population-based studies on HZO due to the high expense of manual review of medical records.
Follow-Up Studies Population Surveillance Natural Language Processing Herpesvirus 3, Human Eye Infections, Viral Herpes Zoster Ophthalmicus Adult Male Middle Aged Adolescent ROC Curve Humans Retrospective Studies Algorithms Female Reproducibility of Results Aged Aged, 80 and over Young Adult
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Assessment of Carotid Artery Plaque Components With Machine Learning Classification Using Homodyned-K Parametric Maps and Elastograms.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Jun 29, 2018
Quantitative ultrasound (QUS) imaging methods, including elastography, echogenicity analysis, and speckle statistical modeling, are available from a single ultrasound (US) radio-frequency data acquisition. Since these US imaging methods provide compl...
Machine Learning Algorithms Female Aged Aged, 80 and over Carotid Stenosis Elasticity Imaging Techniques Humans Male Middle Aged Image Interpretation, Computer-Assisted Carotid Arteries Plaque, Atherosclerotic
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Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.

Skeletal radiology Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Middle Aged Clinical Competence Humans Hip Fractures Neural Networks, Computer Femoral Fractures Aged Retrospective Studies Orthopedic Surgeons Aged, 80 and over Female Adult Sensitivity and Specificity Male
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