Skip to content
ManažérskaInformatika.sk

ManažérskaInformatika.sk

vedecký časopis o informatike

Menu
  • Domov
  • O nás
    • O nás
    • O časopise
    • Redakčná rada
    • Indexovanie časopisu
    • Zásady ochrany osobných údajov
  • Časopis MI
    • Časopis MI
      • Ročník 1, 2020, číslo 1
      • Ročník 1, 2020, číslo 2
    • Študentský článok
    • Recenzovaný článok
    • Článok
    • Recenzia
  • Pre autorov
    • Pre autorov
    • Návody a šablóny
    • Publikačná etika
    • Odoslanie príspevku
  • Newsletter
    • Newsletter
    • RSS
  • Kontakt
Menu

COMPUTERS IN MEDICAL GOWNS: USAGE OF ARTIFICIAL INTELLIGENCE IN MEDICINE

Posted on 10 decembra, 202222 januára, 2023 by admin

Renata Vladyka,  Lviv Polytechnic National University, Lviv, Ukraine

Andrii Sydor,  Lviv Polytechnic National University, Lviv, Ukraine

Today, artificial intelligence is a large branch of computer science, the task of which is to create intelligent machines to perform tasks related to the use of human intelligence. The main purpose of creating artificial intelligence was to simplify the life of a person and free him from routine tasks, and the medical field in the direction of the use of artificial intelligence is not an exception. A number of developed countries of the world use artificial intelligence to increase the speed and accuracy of the diagnosis of many diseases. After the diagnosis is established, a personalized approach to the treatment of the patient is carried out. A complete medical history, the state of the body for a certain time – all this can be collected and structured by the artificial intelligence system. The data uploaded to the database will not remain unnoticed by the electronic brain and will be processed quickly. This will save doctors’ time, help establish an accurate diagnosis, and allow the necessary treatment to be prescribed in a timely manner. This is how a system called Watson Health works. It is able to identify potential problems with the vascular system, recognize cancer, and determine whether the patient is prone to thrombus formation. This artificial intelligence analyzed 20 million scientific articles on oncology in 10 minutes and based on them gave the patient the correct diagnosis [1]. Artificial intelligence is able to organize patient visits to a specialist, make a schedule, and redirect people from one queue to another. Therefore, to do everything so that the person is served faster, and the doctor is not overworked. Thus, the AI ​​system, developed at the National Hospital of Neurology and Neurosurgery of Great Britain, helps to determine the arrival of a patient for an MRI. The artificial intelligence analyses general data about the person, including age and distance of their home from the hospital. Prediction accuracy is 85%. This allows you to plan procedures in such a way that precious time allocated for diagnosis is not wasted.It is impossible not to mention the well-known application “Apple Health” on iPhone or Apple Watch. Based on algorithms and developed additional functions capable of reading and analyzing your condition, the system can prevent a heart attack, and help monitor sleep and your general condition. During the coronavirus pandemic, artificial intelligence has become one of the most sought-after elements. Apple has launched a special site that helps diagnose early symptoms of the coronavirus by filling out a small questionnaire that analyses it. It is actively used to identify antidotes, medicine, and vaccine against coronavirus, cancer, and other serious diseases [2]. A wrong diagnosis usually has fatal consequences. But artificial intelligence can reduce the statistics of false assessments and diagnoses. It is in diagnostics, especially in the case of skin cancer, that artificial intelligence has already managed to prove itself as an extremely useful assistant to doctors. Recently, one study confirmed that a machine that was “trained” with many images of an extremely dangerous type of cancer was less wrong in detecting potentially dangerous melanomas than experienced dermatologists. Surgeons created a robot catheter that made its way to the necessary valve in the heart and performed the operation using machine-learning algorithms, artificial intelligence, and a camera. Algorithms allowed the robot to distinguish the type of tissue it was touching and where it should move to achieve its goal. Artificial intelligence was taught to recognize blood, the walls of the heart ventricle, and the aortic valve. The sensor also analyzed the force of pressure on the valve so that it does not damage the heart. The new catheter was tested during surgery on pigs with artificial aortic valves that require surgical intervention. The autonomous robot needed a little more time than the medic did, but overall the robot performed 89 successful operations out of 90. Today, we do not fully know the capabilities of artificial intelligence, but it already has the advantage of quickly processing large amounts of information. Artificial intelligence does not feel tired and has the ability to learn in any field. Based on data from analytical companies McKinsey and Forrester, it is safe to say that artificial intelligence will not be able to replace doctors fully in the future. One way or another, the system will require monitoring, training, and maintenance. Doctors were and will remain an important element in the field of health care. However, the implementation of artificial intelligence technologies in medicine will help specialists to focus on honing their skills of interaction with people, conducting complex operations with unforeseen choices and developing new principles of service. References:

  1. A. N. Beecy, M. Gummalla, E. Sholle et al., “Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure,” Cardiovascular Digital Health Journal, vol. 1, no. 2, pp. 71–79, 2020.
  2. H. Thakkar, V. Shah, H. Yagnik, and M. Shah, “Comparative anatomization of data mining and fuzzy logic techniques used in diabetes prognosis,” Clinical eHealth, vol. 14, pp. 12–23, 2020.

Prihlásenie na odber Newsletteru

Najnovšie články

  • COMPUTERS IN MEDICAL GOWNS: USAGE OF ARTIFICIAL INTELLIGENCE IN MEDICINE
  • ARTIFICIAL INTELLIGENCE AND ITS EVERYDAY USE
  • A NOVEL SCALOGRAM-BASED MODEL FOR HUMAN ACTIVITY RECOGNITION
  • RESEARCH OF METHODS FOR POLLUTION FORECASTING USING TIME SERIES AND NEURAL NETWORKS
  • CLASSIFICATION OF CLOUD TYPES ON SATELLITE IMAGES USING DEEP LEARNING

Kategórie

  • Článok
  • Ročník 1, 2020, číslo 1
  • Ročník 1, 2020, číslo 2
  • Ročník 1, 2021, číslo 1
  • Ročník 1, 2021, číslo 2
  • Ročník 1, 2022, číslo 1
  • Ročník 1, 2022, číslo 2
  • Študentský článok

Tag cloud

antivirus (1) Antivirus software (1) Antivírusový softvér (1) automatizácia (1) bezpečnostná politika (1) Bezpečnosť (7) convolutional neural networks (1) COVID-19 (2) GDPR (8) implementation (3) implementácia (3) industrial espionage (2) innovation (2) inovácia (2) internetová ochrana (1) Internet security (2) lambda architecture (1) malware (1) management (2) manažment (2) obchodné tajomstvo (1) object search (1) online nakupovanie (1) online shopping (1) osobné údaje (2) parallel calculations (1) personal data (2) priemyselná špionáž (2) project (2) project management (2) projekt (2) projektový manažment (2) python (1) remote work (1) Security (6) security policy (1) Signal (1) sociálne siete (1) user (2) užívateľ (2) virus (2) vzdialená práca (1) web Applications (1) webové aplikácie (1) WhatsApp (1)

Archív

  • december 2022
  • jún 2022
  • apríl 2022
  • október 2021
  • máj 2021
  • december 2020

Manažérska informatika

Časopis Manažérska informatika je vydávaný 2x ročne. ISSN 2729-8310. Posledná aktualizácia k 31.12.2020. Posledné vydanie časopisu : Vol. I, No. 1 k 31.12.2020

©2023 ManažérskaInformatika.sk | Built using WordPress and Responsive Blogily theme by Superb
Správa nastavenia COOKIES
Na našich webových stránkach používame súbory cookie, aby sme vám poskytli najrelevantnejšie zážitky pamätaním vašich preferencií a opakovaných návštev. Kliknutím “Súhlasím”, súhlasíte s použitím VŠETKÝCH cookies.
Nastavenie COOKIESSúhlasím
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Vždy zapnuté
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
ULOŽIŤ A PRIJAŤ