Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review

被引:0
|
作者
Apeksha Koul
Rajesh K. Bawa
Yogesh Kumar
机构
[1] Punjabi University,Department of Computer Science and Engineering
[2] Punjabi University,Department of Computer Science
[3] Pandit Deendayal Energy University,Department of Computer Science and Engineering, School of Technology
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Airway disease is a major healthcare issue that causes at least 3 million fatalities every year. It is also considered one of the foremost causes of death all around the globe by 2030. Numerous studies have been undertaken to demonstrate the latest advances in artificial intelligence algorithms to assist in identifying and classifying these diseases. This comprehensive review aims to summarise the state-of-the-art machine and deep learning-based systems for detecting airway disorders, envisage the trends of the recent work in this domain, and analyze the difficulties and potential future paths. This systematic literature review includes the study of one hundred fifty-five articles on airway diseases such as cystic fibrosis, emphysema, lung cancer, Mesothelioma, covid-19, pneumoconiosis, asthma, pulmonary edema, tuberculosis, pulmonary embolism as well as highlights the automated learning techniques to predict them. The study concludes with a discussion and challenges about expanding the efficiency and machine and deep learning-assisted airway disease detection applications.
引用
收藏
页码:831 / 864
页数:33
相关论文
共 50 条
  • [1] Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review
    Koul, Apeksha
    Bawa, Rajesh K.
    Kumar, Yogesh
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2023, 30 (02) : 831 - 864
  • [2] Application of Artificial Intelligence Techniques to Predict Risk of Recurrence of Breast Cancer: A Systematic Review
    Mazo, Claudia
    Aura, Claudia
    Rahman, Arman
    Gallagher, William M.
    Mooney, Catherine
    JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (09):
  • [3] Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review
    Mengi, Mehak
    Malhotra, Deepti
    ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2022, 29 (05) : 2811 - 2855
  • [4] Artificial Intelligence Based Techniques for the Detection of Socio-Behavioral Disorders: A Systematic Review
    Mehak Mengi
    Deepti Malhotra
    Archives of Computational Methods in Engineering, 2022, 29 : 2811 - 2855
  • [5] Artificial Intelligence Techniques in Medical Imaging: A Systematic Review
    Azizi, Abdellah
    Azizi, Mostafa
    Nasri, Mbarek
    INTERNATIONAL JOURNAL OF ONLINE AND BIOMEDICAL ENGINEERING, 2023, 19 (17) : 66 - 97
  • [6] Application of Artificial Intelligence Techniques for Monkeypox: A Systematic Review
    Chadaga, Krishnaraj
    Prabhu, Srikanth
    Sampathila, Niranjana
    Nireshwalya, Sumith
    Katta, Swathi S.
    Tan, Ru-San
    Acharya, U. Rajendra
    DIAGNOSTICS, 2023, 13 (05)
  • [7] Artificial Intelligence as an Aid in CBCT Airway Analysis: A Systematic Review
    Tsolakis, Ioannis. A. A.
    Kolokitha, Olga-Elpis
    Papadopoulou, Erofili
    Tsolakis, Apostolos. I. I.
    Kilipiris, Evangelos. G. G.
    Palomo, J. Martin
    LIFE-BASEL, 2022, 12 (11):
  • [8] Artificial intelligence to aid detection and diagnostic accuracy of mood disorders and predict suicide risk: A systematic review
    Edavally, Sahithi
    Miller, D. Doug
    Youssef, Nagy A.
    ANNALS OF CLINICAL PSYCHIATRY, 2021, 33 (04) : 270 - 281
  • [9] A Systematic Review of Artificial Intelligence Applications in the Management of Lung Disorders
    Hussain, Akbar
    Marlowe, Stanley
    Ali, Muhammad
    Uy, Edilfavia
    Bhopalwala, Huzefa
    Gullapalli, Dedeepya
    Vangara, Avinash
    Haroon, Moeez
    Akbar, Aelia
    Piercy, Jonathan
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2024, 16 (01)
  • [10] A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis
    Yogesh Kumar
    Surbhi Gupta
    Ruchi Singla
    Yu-Chen Hu
    Archives of Computational Methods in Engineering, 2022, 29 : 2043 - 2070