Professional paper

https://doi.org/10.47960/2303-8616.2025.1.11.111

COMPUTER-AIDED DIAGNOSIS AND DETECTION IN CHEST RADIOGRAPHY

Petra Karačić ; Faculty of Medicine, University of Mostar, 88 000 Mostar, Bosnia and Herzegovina *

* Corresponding author.

Abstract

Artificial intelligence (AI) is a computer science that deals with the ability of computers and
robots to perform tasks that require some form of intelligence, such as learning, planning,
object recognition, understanding foreign languages, etc. It is applied in various fields such as
medicine, science, finance, entertainment, security.
Artificial intelligence is slowly but surely being integrated into the healthcare system, where it
aims to improve patient outcomes, reduce costs, and increase efficiency. It has a special role
in the field of radiology, where it should increase diagnostic and therapeutic accuracy.
Different types of artificial intelligence that have found application in radiology are machine
learning, deep learning, and neural networks. Radiological imaging data is growing rapidly
and increasing the need for the number of available trained radiologists. Artificial intelligence
makes the radiologist's job easier by reducing the time needed for diagnosis, but also serves as
a support for diagnosis and interpretation of findings. Artificial intelligence systems play a
special role in chest radiography. Chest radiography uses a computer program for pattern
recognition that detects suspicious features in the image and brings them to the attention of
the radiologist in order to reduce false negative readings. Computer-aided diagnosis or CAD
is the name of the mentioned computer program. CAD systems, known as computer-aided
detection (CADe) and computer-aided diagnostics (CADx), are based on the principle of deep
learning, i.e. convolutional neural network (CNN). The aim of this paper is to point out the
role of CAD systems in the accuracy and acceleration of diagnostic decision-making by
radiologists in radiography of thoracic organs.

Keywords

Computer-aided diagnosis; radiology; detection; chest radiography

Hrčak ID:

331583

URI

https://hrcak.srce.hr/331583

Publication date:

27.5.2025.

Article data in other languages: croatian

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