AI to recognize cardiac arrhythmias like by using thermoscanner and other physiological sensors. New way and new product without the classic electrodes.
Gabriele Matteoli Yes, there are several applications of AI in echocardiography (ECG). One example is using AI to analyze ECG data and identify cardiac arrhythmias, such as atrial fibrillation, without the need for traditional electrodes. AI can also be used to analyze images from echocardiograms and detect structural abnormalities in the heart, such as valve abnormalities or wall thickness changes. Additionally, AI can be used to improve the efficiency and accuracy of ECG interpretation, which can help to reduce diagnostic errors and improve patient outcomes.
Yes, there are several applications of artificial intelligence (AI) in electrocardiogram (ECG) analysis. Some of the most common applications include:
These are just a few examples of the many ways that AI can be applied to ECG analysis, the field is still under research and the advancements are still being made in the field. With the help of AI, ECG analysis can become more accurate, efficient and accessible, which can help to improve the diagnosis and treatment of cardiac conditions.
The universal intelligent system "Eidos", developed by Professor Lutsenko in 1979-2005, analyzes large amounts of data and allows you to automate the process of processing large amounts of data. It has a large number of different software interfaces that provide input into the system of external data of various types: textual, tabular and graphic, as well as others that can be presented in such a form as audio data or electroencephalogram or cardiogram data. This provides convenient use of the Eidos system for conducting scientific research in various fields of science and solving practical problems in various subject areas almost everywhere where a person uses natural intelligence. Open lectures on the Eidos intellectual system are already available on the Internet. The Eidos system is universal and has a very complex user interface. It is almost impossible to learn how to work in this system on your own. Therefore, I took upon myself the burden of revealing in my lectures the main methods of working in the Eidos system for conducting research in the field of medicine. Lectures in the form of presentations with sound, lasting from 30 to 40 minutes. I hope you have some money to subscribe to my lectures at https://www.patreon.com/user?u=87599532. It is not necessary to subscribe for a year, but you can pay for a month or for several months. Take a look at this site, there is information for open access.
Sincerely, Vladimir Ryabtsev, Doctor of Technical Sciences, Professor of Information Technology, Scopus Author ID: 57207683085, ORSID code: 0000-0002-0592-2413.
The Aidos-x system is an excellent intelligent system for diagnosing and classifying human diseases. The methods of using the Aidos-x system for diagnosing human diseases are disclosed in lectures with sound "Using automated system-cognitive analysis for the classification of human organ tumors", "Intelligent system for diagnosing early stages of chronic kidney disease", which can be downloaded right now from the website https ://www.patreon.com/user?u=87599532 Creator's title: «Lectures on Electronic Medicine». After subscribing to this site, you will receive databases for medical research to identify the diseases that you will read about in lectures. The acquired skills of working in the Aidos-x system will allow you to apply for grants to carry out scientific research in the field of medicine.
To subscribe to the site https://www.patreon.com/user?u=87599532 you do not need to go to the bank, but you can do it using the Pay Pal system. Send a transfer in your currencies, and the transfer to dollars will be done automatically. After subscribing on the site, you will receive the Aidos-x system with an English user interface for free.
Thank you.
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Sampling Design
- Sample Size