Application of Artificial Intelligence in Thoracic Radiology: A Narrative Review

被引：0
|
作者：
Lim, Woo Hyeon [1 ]
Kim, Hyungjin [1 ,2 ]
机构：
[1] Seoul Natl Univ Hosp, Dept Radiol, Seoul, South Korea
[2] Seoul Natl Univ, Coll Med, Dept Radiol, 101 Daehak Ro, Seoul 03080, South Korea
来源：
TUBERCULOSIS AND RESPIRATORY DISEASES | 2025年 / 88卷 / 02期
关键词：
Artificial Intelligence; Deep Learning; Thoracic Radiology; OBSTRUCTIVE PULMONARY-DISEASE; LARGE LANGUAGE MODELS; LUNG-CANCER; QUANTITATIVE CT; CLASSIFICATION; TUBERCULOSIS; MULTICENTER; IMAGES; AI;
D O I：
10.4046/trd.2024.0062
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
Thoracic radiology has emerged as a primary field in which artificial intelligence (AI) is extensively researched. Recent advancements highlight the potential to enhance radiologists' performance through AI. AI aids in detecting and classifying abnormalities, and in quantifying both normal and abnormal anatomical structures. Additionally, it facilitates prognostication by leveraging these quantitative values. This review article will discuss the recent achievements of AI in thoracic radiology, focusing primarily on deep learning, and explore the current limitations and future directions of this cutting-edge technique.
引用
收藏
页码：278 / 291
页数：14
相关论文
共 50 条
  • [1] Applications of artificial intelligence in the thorax: a narrative review focusing on thoracic radiology
    Kim, Yisak
    Park, Ji Yoon
    Hwang, Eui Jin
    Lee, Sang Min
    Park, Chang Min
    JOURNAL OF THORACIC DISEASE, 2021, 13 (12) : 6943 - 6962
  • [2] Artificial intelligence in dental radiology: a narrative review
    Ali, Muneeba
    Irfan, Memoona
    Ali, Tooba
    Wei, Calvin R.
    Akilimali, Aymar
    ANNALS OF MEDICINE AND SURGERY, 2025, 87 (04): : 2212 - 2217
  • [3] Artificial intelligence in thoracic surgery: a narrative review
    Bellini, Valentina
    Valente, Marina
    Del Rio, Paolo
    Bignami, Elena
    JOURNAL OF THORACIC DISEASE, 2021, 13 (12) : 6963 - 6975
  • [4] Artificial intelligence application in endodontics: A narrative review
    Dennis, Dennis
    Suebnukarn, Siriwan
    Heo, Min-Suk
    Abidin, Trimurni
    Nurliza, Cut
    Yanti, Nevi
    Farahanny, Wandania
    Prasetia, Widi
    Batubara, Fitri Yunita
    IMAGING SCIENCE IN DENTISTRY, 2024, : 305 - 312
  • [5] Application of artificial intelligence in gynecologic malignancies: A review
    Sone, Kenbun
    Toyohara, Yusuke
    Taguchi, Ayumi
    Miyamoto, Yuichiro
    Tanikawa, Michihiro
    Uchino-Mori, Mayuyo
    Iriyama, Takayuki
    Tsuruga, Tetsushi
    Osuga, Yutaka
    JOURNAL OF OBSTETRICS AND GYNAECOLOGY RESEARCH, 2021, 47 (08) : 2577 - 2585
  • [6] Artificial Intelligence in Orthopedic Radiography Analysis: A Narrative Review
    Chen, Kenneth
    Stotter, Christoph
    Klestil, Thomas
    Nehrer, Stefan
    DIAGNOSTICS, 2022, 12 (09)
  • [7] The application of artificial intelligence in lung cancer: a narrative review
    Zhang, Huixian
    Meng, Die
    Cai, Siqi
    Guo, Haoyue
    Chen, Peixin
    Zheng, Zixuan
    Zhu, Jun
    Zhao, Wencheng
    Wang, Hao
    Zhao, Sha
    Yu, Jia
    He, Yayi
    TRANSLATIONAL CANCER RESEARCH, 2021, 10 (05) : 2478 - 2487
  • [8] A narrative review on the application of artificial intelligence in renal ultrasound
    Xu, Tong
    Zhang, Xian-Ya
    Yang, Na
    Jiang, Fan
    Chen, Gong-Quan
    Pan, Xiao-Fang
    Peng, Yue-Xiang
    Cui, Xin-Wu
    FRONTIERS IN ONCOLOGY, 2024, 13
  • [9] Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen
    Lee, Sungwon
    Summers, Ronald M.
    RADIOLOGIC CLINICS OF NORTH AMERICA, 2021, 59 (06) : 987 - 1002
  • [10] Application of artificial intelligence technology in the field of orthopedics: a narrative review
    Pengran Liu
    Jiayao Zhang
    Songxiang Liu
    Tongtong Huo
    Jiajun He
    Mingdi Xue
    Ying Fang
    Honglin Wang
    Yi Xie
    Mao Xie
    Dan Zhang
    Zhewei Ye
    Artificial Intelligence Review, 2024, 57
12345