Artificial Intelligence in Management of Respiratory Disease

This study aims to summarize the role of artificial intelligence in the management of respiratory diseases in the light of the literature. Artificial intelligence is a developing technology that achieves fast and effective results using machine learning, deep learning and data analysis methods. It is useful to use in situations that require high dedication and complex and fast decision-making mechanisms. Respiratory diseases, which are increasing worldwide and have a high risk of mortality and morbidity, pose a great burden to both the healthcare system and healthcare professionals. The literature supports the use of artificial intelligence in the management of respiratory diseases to reduce this burden, make critical decisions, and benefit patients and healthcare professionals. Complicated imaging methods, monitoring symptoms, and predicting possible situations and side effects are the aspects where artificial intelligence will influence this field.

Authors

Institutions

Publication Details

Journal
DergiPark (Istanbul University)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.13621377
Citations
1
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence in Management of Respiratory Disease

Erhan Kızmaz
1 citations
DergiPark (Istanbul University)
Chronic Obstructive Pulmonary Disease (COPD) Research
0.42
article

Artificial Intelligence in Management of Respiratory Disease

Erhan Kızmaz
article en
1 citations

Abstract

This study aims to summarize the role of artificial intelligence in the management of respiratory diseases in the light of the literature. Artificial intelligence is a developing technology that achieves fast and effective results using machine learning, deep learning and data analysis methods. It is useful to use in situations that require high dedication and complex and fast decision-making mechanisms. Respiratory diseases, which are increasing worldwide and have a high risk of mortality and morbidity, pose a great burden to both the healthcare system and healthcare professionals. The literature supports the use of artificial intelligence in the management of respiratory diseases to reduce this burden, make critical decisions, and benefit patients and healthcare professionals. Complicated imaging methods, monitoring symptoms, and predicting possible situations and side effects are the aspects where artificial intelligence will influence this field.

DergiPark (Istanbul University)
Pamukkale University (TR)
Zero hunger
Openalex Percentile: Top 33%
Chronic Obstructive Pulmonary Disease (COPD) Research
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.