AIMC Topic: Aged, 80 and over
Clear Filters Showing 1671 to 1680 of 3475 articles
Use of Natural Language Processing to Improve Identification of Patients With Peripheral Artery Disease.
Circulation. Cardiovascular interventions
Oct 12, 2020
BACKGROUND: Peripheral artery disease (PAD) is underrecognized, undertreated, and understudied: each of these endeavors requires efficient and accurate identification of patients with PAD. Currently, PAD patient identification relies on diagnosis/pro...
Aged, 80 and over
Male
Middle Aged
Diagnosis, Computer-Assisted
Peripheral Arterial Disease
Predictive Value of Tests
Natural Language Processing
Data Mining
Ankle Brachial Index
Humans
Electronic Health Records
Female
Reproducibility of Results
Aged
Endovascular Procedures
Vascular Surgical Procedures
Amputation, Surgical
Multiclass Artificial Intelligence in Dermatology: Progress but Still Room for Improvement.
The Journal of investigative dermatology
Oct 10, 2020
Machine learning and individual variability in electric field characteristics predict tDCS treatment response.
Brain stimulation
Oct 10, 2020
BACKGROUND: Transcranial direct current stimulation (tDCS) is widely investigated as a therapeutic tool to enhance cognitive function in older adults with and without neurodegenerative disease. Prior research demonstrates that electric current delive...
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Nature communications
Oct 9, 2020
Early detection of COVID-19 based on chest CT enables timely treatment of patients and helps control the spread of the disease. We proposed an artificial intelligence (AI) system for rapid COVID-19 detection and performed extensive statistical analys...
Large-Scale Multi-omic Analysis of COVID-19 Severity.
Cell systems
Oct 8, 2020
We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from COVID-19-positive and COVID-19-negative patients with diverse disease severities and outcomes. Quantified transcripts, proteins, metabolites, and lipids were associa...
[Autonomous assitive robots for older people at home: An exploratory study : "He is always there for me-and I for him too"].
Zeitschrift fur Gerontologie und Geriatrie
Oct 8, 2020
The use of autonomous assistive robots in the domestic environment of old people and the possible effects on the quality of life is a relatively new field of research. Given the relatively limited technical robustness of these robots, autonomous assi...
Prospective Validation of Vesical Imaging-Reporting and Data System Using a Next-Generation Magnetic Resonance Imaging Scanner-Is Denoising Deep Learning Reconstruction Useful?
The Journal of urology
Oct 6, 2020
PURPOSE: The Vesical Imaging Reporting and Data System (VI-RADS) was launched in 2018 to standardize reporting of magnetic resonance imaging for bladder cancer. This study aimed to prospectively validate VI-RADS using a next-generation magnetic reson...
Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study.
Acta cytologica
Oct 6, 2020
INTRODUCTION: Urine cytology plays an important role in diagnosing urothelial carcinoma (UC). However, urine cytology interpretation is subjective and difficult. Morphogo (ALAB, Boston, MA, USA), equipped with automatic acquisition and scanning, opti...
Humans
Neural Networks, Computer
Machine Learning
Female
Middle Aged
Diagnosis, Computer-Assisted
Urologic Neoplasms
Predictive Value of Tests
Prostatic Neoplasms
Reproducibility of Results
Aged
Aged, 80 and over
Male
Urine
Carcinoma
Proof of Concept Study
Feasibility Studies
Urothelium
Cytodiagnosis
Image Interpretation, Computer-Assisted
Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes.
Diabetes
Oct 6, 2020
Early and precise identification of individuals with prediabetes and type 2 diabetes (T2D) at risk for progressing to chronic kidney disease (CKD) is essential to prevent complications of diabetes. Here, we identify and evaluate prospective metabolit...
Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.
Journal of atherosclerosis and thrombosis
Oct 2, 2020
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear.
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