AIMC Topic: Aged, 80 and over

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Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.

Scientific reports Jan 11, 2021
A major limitation of screening breast ultrasound (US) is a substantial number of false-positive biopsy. This study aimed to develop a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to improve the differential diagnosis ...
Software Breast Retrospective Studies False Positive Reactions Female Breast Diseases Reproducibility of Results Aged Deep Learning Humans Cohort Studies Mass Screening Aged, 80 and over Mammography Young Adult Adult Diagnosis, Differential Middle Aged Ultrasonography, Mammary Diagnosis, Computer-Assisted
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Additional value of deep learning computed tomographic angiography-based fractional flow reserve in detecting coronary stenosis and predicting outcomes.

Acta radiologica (Stockholm, Sweden : 1987) Jan 10, 2021
BACKGROUND: Deep learning (DL) has achieved great success in medical imaging and could be utilized for the non-invasive calculation of fractional flow reserve (FFR) from coronary computed tomographic angiography (CCTA) (CT-FFR).
Male Middle Aged Deep Learning Predictive Value of Tests Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac-Gated Imaging Techniques Female Aged Aged, 80 and over Adult Sensitivity and Specificity Humans Retrospective Studies
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Screening of sleep apnea based on heart rate variability and long short-term memory.

Sleep & breathing = Schlaf & Atmung Jan 10, 2021
PURPOSE: Sleep apnea syndrome (SAS) is a prevalent sleep disorder in which apnea and hypopnea occur frequently during sleep and result in increase of the risk of lifestyle-related disease development as well as daytime sleepiness. Although SAS is a c...
Humans Neural Networks, Computer Electrocardiography Sleep Apnea Syndromes Heart Rate Autonomic Nervous System Adult Sensitivity and Specificity Male Middle Aged Adolescent Machine Learning Female Aged Aged, 80 and over Young Adult
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Novel Machine Learning Can Predict Acute Asthma Exacerbation.

Chest Jan 10, 2021
BACKGROUND: Asthma exacerbations result in significant health and economic burden, but are difficult to predict.
Adolescent Predictive Value of Tests Symptom Flare Up Humans Ohio Machine Learning Electronic Health Records Aged, 80 and over Female Adult Aged Asthma Male Middle Aged
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Quantification of Key Retinal Features in Early and Late Age-Related Macular Degeneration Using Deep Learning.

American journal of ophthalmology Jan 8, 2021
PURPOSE: We sought to develop and validate a deep learning model for segmentation of 13 features associated with neovascular and atrophic age-related macular degeneration (AMD).
Ranibizumab Wet Macular Degeneration Receptors, Vascular Endothelial Growth Factor Retinal Drusen Choroidal Neovascularization Geographic Atrophy Visual Acuity Tomography, Optical Coherence Vascular Endothelial Growth Factor A Intravitreal Injections Recombinant Fusion Proteins Middle Aged Deep Learning ROC Curve Angiogenesis Inhibitors Models, Statistical Humans Aged, 80 and over Sensitivity and Specificity Male Neural Networks, Computer Female Aged
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Perioperative and Functional Outcomes of Robot-Assisted Radical Prostatectomy in Octogenarian Men.

Journal of endourology Jan 6, 2021
The functional and oncologic outcomes of robot-assisted radical prostatectomy (RARP) in octogenarians are not well studied. We sought to study the perioperative, functional, and oncologic outcomes of RARP in octogenarian men. Between January 2009 a...
Robotics Prostatic Neoplasms Robotic Surgical Procedures Prostatectomy Male Postoperative Complications Treatment Outcome Humans Retrospective Studies Aged, 80 and over
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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Adult Cross-Sectional Studies Male Middle Aged Deep Learning Tomography, X-Ray Computed Female Aged Aged, 80 and over Young Adult Hydrocephalus Models, Biological Datasets as Topic Neuroimaging Skull Atrophy Adolescent Child, Preschool Child Natural Language Processing Cephalometry Humans Algorithms Brain Retrospective Studies Lateral Ventricles
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Effects of Neurodynamic Mobilizations on Pain Hypersensitivity in Patients With Hand Osteoarthritis Compared to Robotic Assisted Mobilization: A Randomized Controlled Trial.

Arthritis care & research Jan 3, 2021
OBJECTIVE: To evaluate the effectiveness of the neurodynamic mobilization techniques compared with passive robotic physiologic movement in patients with hand osteoarthritis (OA).
Female Aged Aged, 80 and over Male Time Factors Italy Humans Osteoarthritis Exercise Therapy Treatment Outcome Arthralgia Recovery of Function Pain Threshold Robotics Hand Joints Pain Measurement Functional Status
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Fully end-to-end deep-learning-based diagnosis of pancreatic tumors.

Theranostics Jan 1, 2021
Artificial intelligence can facilitate clinical decision making by considering massive amounts of medical imaging data. Various algorithms have been implemented for different clinical applications. Accurate diagnosis and treatment require reliable an...
Deep Learning ROC Curve Image Processing, Computer-Assisted Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Humans Algorithms Aged Tomography, X-Ray Computed Aged, 80 and over Female Adult Male Middle Aged
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On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks.

IEEE transactions on biomedical circuits and systems Dec 31, 2020
Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due to body movements and missing data segments due to loosening of sensor. This paper describes an on-device reliability assessment from PPG measurements...
Young Adult Adult Middle Aged Humans Photoplethysmography Signal Processing, Computer-Assisted Neural Networks, Computer Reproducibility of Results Aged Aged, 80 and over
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