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

页码：278 / 291

页数：14

共 50 条

[31] Artificial Intelligence in Breast Reconstruction: A Narrative Review
Rugina, Andrei Iulian
Ungureanu, Andreea
Giuglea, Carmen
Marinescu, Silviu Adrian
MEDICINA-LITHUANIA, 2025, 61 (03):
[32] Artificial intelligence in musculoskeletal oncological radiology
Vogrin, Matjaz
Trojner, Teodor
Kelc, Robi
RADIOLOGY AND ONCOLOGY, 2021, 55 (01) : 1 - 6
[33] Thoracic Radiologists' Versus Computer Scientists' Perspectives on the Future of Artificial Intelligence in Radiology
Eltorai, Adam E. M.
Bratt, Alexander K.
Guo, Haiwei H.
JOURNAL OF THORACIC IMAGING, 2020, 35 (04) : 255 - 259
[34] Artificial intelligence in the detection and treatment of depressive disorders: a narrative review of literature
Ricci, Fabiana
Giallanella, Daniela
Gaggiano, Costanza
Torales, Julio
Castaldelli-Maia, Joao Mauricio
Liebrenz, Michael
Bener, Abdulbari
Ventriglio, Antonio
INTERNATIONAL REVIEW OF PSYCHIATRY, 2025, 37 (01) : 39 - 51
[35] Artificial intelligence reshapes current understanding and management of osteoarthritis: A narrative review
Yick, Hin Ting Victor
Chan, Ping Keung
Wen, Chunyi
Fung, Wing Chiu
Yan, Chun Hoi
Chiu, Kwong Yuen
JOURNAL OF ORTHOPAEDICS TRAUMA AND REHABILITATION, 2022, 29 (01)
[36] Application of artificial intelligence in thoracic surgery
Herrmann, D.
Oggiano, M.
Hecker, E.
CHIRURG, 2020, 91 (03): : 206 - 210
[37] Artificial intelligence for oral and maxillo-facial surgery: A narrative review
Rasteau, Simon
Ernenwein, Didier
Savoldelli, Charles
Bouletreau, Pierre
JOURNAL OF STOMATOLOGY ORAL AND MAXILLOFACIAL SURGERY, 2022, 123 (03) : 276 - 282
[38] Current Applications and Future Implications of Artificial Intelligence in Spine Surgery and Research: A Narrative Review and Commentary
Yahanda, Alexander T.
Joseph, Karan
Bui, Tim
Greenberg, Jacob K.
Ray, Wilson Z.
Ogunlade, John I.
Hafez, Daniel
Pallotta, Nicholas A.
Neuman, Brian J.
Molina, Camilo A.
GLOBAL SPINE JOURNAL, 2025, 15 (02) : 1445 - 1454
[39] Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology
Brandao, Marta
Mendes, Francisco
Martins, Miguel
Cardoso, Pedro
Macedo, Guilherme
Mascarenhas, Teresa
Saraiva, Miguel Mascarenhas
JOURNAL OF CLINICAL MEDICINE, 2024, 13 (04)
[40] Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology
Tang, An
Tam, Roger
Cadrin-Chenevert, Alexandre
Guest, Will
Chong, Jaron
Barfett, Joseph
Chepelev, Leonid
Cairns, Robyn
Mitchell, J. Ross
Cicero, Mark D.
Poudrette, Manuel Gaudreau
Jaremko, Jacob L.
Reinhold, Caroline
Gallix, Benoit
Gray, Bruce
Geis, Raym
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2018, 69 (02): : 120 - 135

← 1 2 3 4 5 →