Latest AI and machine learning research in geriatrics for healthcare professionals.
Over 60 % of people over the age of 65 will suffer from multiple diseases concomitantly but the comm...
Electrocardiography (ECG) is essential in many heart diseases. However, some ECGs are recorded by pa...
Background and purpose - Classification of ankle fractures is crucial for guiding treatment but adva...
Fifth Generation (5G) mobile communications technology became available in Japan as of the end of Ma...
Early fault detection in squirrel cage induction motor (SCIM) can minimize the downtime and maximize...
PURPOSE: To evaluate the prognostic role of end-of-treatment (EoT) FDG-PET/CT parameters in diffuse ...
In recent years, several studies have demonstrated that machine learning and deep learning systems c...
MicroRNAs (miRNAs) are single-stranded RNA molecules that control gene expression in various process...
Backpropagation (BP) is the cornerstone of today's deep learning algorithms, but it is inefficient p...
BACKGROUND: Our objective was to assess the performance of machine learning methods to predict post-...
Coronavirus disease 2019 (COVID-19) is a novel disease resulting from infection with severe acute re...
OBJECTIVE: This retrospective and exploratory study tested the accuracy of artificial neural network...
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow improvements in asses...
Cerebral Microbleeds (CMBs) are small chronic brain hemorrhages, which have been considered as diagn...
Finding peaks in chromatograms and determining their start and end points (peak picking) is a core t...
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzhe...
Rubeosis faciei diabeticorum, caused by microangiopathy and characterized by a chronic facial erythe...
Mild cognitive impairment (MCI), an identified prodromal stage of Alzheimer's Disease (AD), often ev...
Long non-coding RNA Knowledgebase (lncRNAKB) is an integrated resource for exploring lncRNA biology ...
OBJECTIVE: To explore the application of deep learning in patients with primary osteoporosis, and to...
Recent studies uncover that subcellular location of long non-coding RNAs (lncRNAs) can provide signi...