AIMC Topic: Proof of Concept Study
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Deep Learning-Based Image Classification in Differentiating Tufted Astrocytes, Astrocytic Plaques, and Neuritic Plaques.
Journal of neuropathology and experimental neurology
Mar 22, 2021
This study aimed to develop a deep learning-based image classification model that can differentiate tufted astrocytes (TA), astrocytic plaques (AP), and neuritic plaques (NP) based on images of tissue sections stained with phospho-tau immunohistochem...
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development study.
The Lancet. Digital health
Jan 1, 2021
BACKGROUND: In current approaches to vision screening in the community, a simple and efficient process is needed to identify individuals who should be referred to tertiary eye care centres for vision loss related to eye diseases. The emergence of dee...
The anti-ageing effects of a natural peptide discovered by artificial intelligence.
International journal of cosmetic science
Aug 1, 2020
OBJECTIVE: As skin ages, impaired extracellular matrix (ECM) protein synthesis and increased action of degradative enzymes manifest as atrophy, wrinkling and laxity. There is mounting evidence for the functional role of exogenous peptides across many...
Spoken words as biomarkers: using machine learning to gain insight into communication as a predictor of anxiety.
Journal of the American Medical Informatics Association : JAMIA
Jun 1, 2020
OBJECTIVE: The goal of this study was to explore whether features of recorded and transcribed audio communication data extracted by machine learning algorithms can be used to train a classifier for anxiety.
Developing a Prototype Knowledge-Based System for Diagnosis and Treatment of Diabetes Using Data Mining Techniques.
Ethiopian journal of health sciences
Jan 1, 2020
BACKGROUND: Diabetes is a disease that affects the body's ability to produce or use insulin. A total of 425 million people are suffering from diabetes in the world. Of this, more than 16 million people live in the Africa Region, which is estimated to...
High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.
JAMA cardiology
Jan 1, 2020
This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.
An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures.
Journal of psychiatry & neuroscience : JPN
Jul 1, 2019
BACKGROUND: The development of diagnostic and prognostic tools for Alzheimer disease is complicated by substantial clinical heterogeneity in prodromal stages. Many neuroimaging studies have focused on case–control classification and predicting conver...
Prototype Measuring Device for Assessing Interaction Forces between Human Limbs and Rehabilitation Robots - A Proof of Concept Study.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Jun 1, 2019
Rehabilitation robots can provide high intensity and dosage training or assist patients in activities of daily living and decrease physical strain on clinicians. However, the physical human robot interaction poses a major safety issue, as the close p...
Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.
The American journal of surgical pathology
Dec 1, 2018
Advances in the quality of whole-slide images have set the stage for the clinical use of digital images in anatomic pathology. Along with advances in computer image analysis, this raises the possibility for computer-assisted diagnostics in pathology ...
Pathology, Clinical
Neoplasm Micrometastasis
Breast Neoplasms
Diagnosis, Computer-Assisted
Lymph Nodes
Observer Variation
Humans
Workflow
Lymphatic Metastasis
Deep Learning
Pattern Recognition, Automated
Female
Image Interpretation, Computer-Assisted
Predictive Value of Tests
Time Factors
Proof of Concept Study
Reproducibility of Results
Biopsy
Self-powered robots to reduce motor slacking during upper-extremity rehabilitation: a proof of concept study.
Restorative neurology and neuroscience
Jan 1, 2018
BACKGROUND: Robotic rehabilitation is a highly promising approach to recover lost functions after stroke or other neurological disorders. Unfortunately, robotic rehabilitation currently suffers from "motor slacking", a phenomenon in which the human m...
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