Being a relatively simply composed bioelectric signal, the ERG lends itself very well to computer analysis. This paper presents the results obtained by the employment of an automated, fully computerized ERG analysis system. It is concluded that programmable computing facilities have the effect of rendering diagnostic ERG evaluation more accurate and reliable as well as saving a lot of human effort.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1755-3768.1984.tb08392.xDOI Listing

Publication Analysis

Top Keywords

automated fully
8
fully computerized
8
computerized analysis
4
analysis clinical
4
clinical electroretinogram
4
electroretinogram simply
4
simply composed
4
composed bioelectric
4
bioelectric signal
4
signal erg
4

Similar Publications

Automated ultrasonic testing (AUT) is a critical tool for infrastructure evaluation in industries such as oil and gas, and, while skilled operators manually analyze complex AUT data, artificial intelligence (AI)-based methods show promise for automating interpretation. However, improving the reliability and effectiveness of these methods remains a significant challenge. This study employs the Segment Anything Model (SAM), a vision foundation model, to design an AI-assisted tool for weld defect detection in real-world ultrasonic B-scan images.

View Article and Find Full Text PDF

Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

J Cardiovasc Comput Tomogr

January 2025

Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA; Department of Diagnostic and Interventional Radiology, University Medical Center of Johannes Gutenberg-University, Mainz, Germany; German Centre for Cardiovascular Research, Mainz, Germany.

Background: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among patients with severe aortic stenosis (AS) undergoing coronary CT angiography (CCTA) before transcatheter aortic valve replacement (TAVR).

Methods: This retrospective study evaluated patients with severe AS who underwent CCTA examination before TAVR between September 2014 and December 2020. An AI-prototype software fully automatically calculated left atrial and left ventricular end-diastolic volumes and LACI was defined by the ratio between them.

View Article and Find Full Text PDF

Matrigel/BME, a basement membrane-like preparation, supports long-term growth of epithelial 3D organoids from adult stem cells [T. Sato , , 262-265 (2009); T. Sato , , 1762-1772 (2011)].

View Article and Find Full Text PDF

Stock trend prediction is a significant challenge due to the inherent uncertainty and complexity of stock market time series. In this study, we introduce an innovative dual-branch network model designed to effectively address this challenge. The first branch constructs recurrence plots (RPs) to capture the nonlinear relationships between time points from historical closing price sequences and computes the corresponding recurrence quantifification analysis measures.

View Article and Find Full Text PDF

High-performance lightweight materials are urgently needed because of energy savings and emission reduction. Here, we design a new steel with a low density of 6.41 g/cm, which is a 20% weight reduction compared to the conventional steel.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!