AIMC Topic: Aged, 80 and over

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Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches.

Joint diseases and related surgery Mar 26, 2020
OBJECTIVES: This study aims to detect frontal pelvic radiograph femoral neck fracture using deep learning techniques.
Middle Aged Deep Learning Radiography Femoral Neck Fractures Humans Algorithms Retrospective Studies Female Aged Aged, 80 and over Adult Sensitivity and Specificity Male
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Association of Cardiovascular Mortality and Deep Learning-Funduscopic Atherosclerosis Score derived from Retinal Fundus Images.

American journal of ophthalmology Mar 25, 2020
PURPOSE: The prediction of atherosclerosis using retinal fundus images and deep learning has not been shown possible. The purpose of this study was to develop a deep learning model which predicted atherosclerosis by using retinal fundus images and to...
Adult Survival Rate Male Cardiovascular Diseases Middle Aged Republic of Korea Female Risk Factors Aged Aged, 80 and over Humans Atherosclerosis Prognosis Fundus Oculi Retrospective Studies Retina Carotid Arteries Ophthalmoscopy Risk Assessment Deep Learning Ultrasonography Follow-Up Studies Predictive Value of Tests
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Alzheimer's disease, mild cognitive impairment, and normal aging distinguished by multi-modal parcellation and machine learning.

Scientific reports Mar 25, 2020
A 360-area surface-based cortical parcellation is extended to study mild cognitive impairment (MCI) and Alzheimer's disease (AD) from healthy control (HC) using the joint human connectome project multi-modal parcellation (JHCPMMP) proposed by us. We ...
Cerebral Cortex Humans Connectome Machine Learning Healthy Aging Female Aged Middle Aged Aged, 80 and over Cognitive Dysfunction Male Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease
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Machine Learning Analysis of Digital Clock Drawing Test Performance for Differential Classification of Mild Cognitive Impairment Subtypes Versus Alzheimer's Disease.

Journal of the International Neuropsychological Society : JINS Mar 23, 2020
OBJECTIVE: To determine how well machine learning algorithms can classify mild cognitive impairment (MCI) subtypes and Alzheimer's disease (AD) using features obtained from the digital Clock Drawing Test (dCDT).
Aged, 80 and over Male Cognitive Dysfunction Alzheimer Disease Neuropsychological Tests Humans Machine Learning Female Aged
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Human vs. machine: the psychological and behavioral consequences of being compared to an outperforming artificial agent.

Psychological research Mar 21, 2020
While artificial agents (AA) such as Artificial Intelligence are being extensively developed, a popular belief that AA will someday surpass human intelligence is growing. The present research examined whether this common belief translates into negati...
Middle Aged Humans Female Self Concept Artificial Intelligence Intelligence Aged Research Subjects Inhibition, Psychological Aged, 80 and over Attitude to Computers Adult Male
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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Humans Retrospective Studies Republic of Korea Female Reproducibility of Results Aged Aged, 80 and over Male Signal Processing, Computer-Assisted Middle Aged Early Diagnosis Severity of Illness Index Deep Learning Electrocardiography Aortic Valve Stenosis Aortic Valve Predictive Value of Tests
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Voice analysis in adductor spasmodic dysphonia: Objective diagnosis and response to botulinum toxin.

Parkinsonism & related disorders Mar 19, 2020
INTRODUCTION: Adductor-type spasmodic dysphonia is a task-specific focal dystonia characterized by involuntary laryngeal muscle spasms. Due to the lack of quantitative instrumental tools, voice assessment in patients with adductor-type spasmodic dysp...
Severity of Illness Index Treatment Outcome Speech Acoustics Fourier Analysis Botulinum Toxins, Type A Aged Neuromuscular Agents Humans Aged, 80 and over Dysphonia Machine Learning Adult Female Male Middle Aged
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Interpatient Similarities in Cardiac Function: A Platform for Personalized Cardiovascular Medicine.

JACC. Cardiovascular imaging Mar 18, 2020
OBJECTIVES: The authors applied unsupervised machine-learning techniques for integrating echocardiographic features of left ventricular (LV) structure and function into a patient similarity network that predicted major adverse cardiac event(s) (MACE)...
Image Interpretation, Computer-Assisted Retrospective Studies Pattern Recognition, Automated Female Aged Unsupervised Machine Learning Aged, 80 and over Predictive Value of Tests Adult Registries Humans Male Patient Readmission Prospective Studies Ventricular Function, Left Ventricular Dysfunction, Left Prognosis Echocardiography Middle Aged Disease Progression
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A convolutional neural network-based system to classify patients using FDG PET/CT examinations.

BMC cancer Mar 17, 2020
BACKGROUND: As the number of PET/CT scanners increases and FDG PET/CT becomes a common imaging modality for oncology, the demands for automated detection systems on artificial intelligence (AI) to prevent human oversight and misdiagnosis are rapidly ...
Fluorodeoxyglucose F18 Pelvic Neoplasms Abdominal Neoplasms Female Aged Aged, 80 and over Young Adult Adult Humans Male Neural Networks, Computer Middle Aged Artificial Intelligence Thoracic Neoplasms Head and Neck Neoplasms Positron Emission Tomography Computed Tomography
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Attitudes of Patients and Their Relatives Toward Artificial Intelligence in Neurosurgery.

World neurosurgery Mar 14, 2020
BACKGROUND: Artificial intelligence (AI) may favorably support surgeons but can result in concern among patients and their relatives. The aim of this study was to evaluate attitudes of patients and their relatives regarding use of AI in neurosurgery.
Female Aged Aged, 80 and over Young Adult Adult Humans Artificial Intelligence Adolescent Image Processing, Computer-Assisted Neurosurgery Patients Family Cross-Sectional Studies Male Middle Aged Postoperative Complications Surveys and Questionnaires Attitude Patient Care Planning
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