Artificial intelligence: a potential prioritisation tool for chest radiographs with suspected thoracic malignancy

被引：0
作者：
Hussein, M. A. M. [1 ]
Brozik, J. [1 ]
Hopewell, H. [1 ]
Patel, H. [1 ]
Rasalingham, S. [2 ]
Dillard, L. [3 ]
Morgan, T. Naunton [2 ]
Tappouni, R. [3 ]
Malik, Q. [2 ]
Lucas, E. [2 ]
Das, I. [1 ]
机构：
[1] Univ Hosp Leicester NHS Trust, Leicester, Leics, England
[2] Behold Ai Technol Ltd, London, England
[3] Behold Ai Technol Ltd, New York, NY USA
来源：
LUNG CANCER | 2020年 / 139卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
58
引用
收藏
页码：S25 / S25
页数：1
相关论文
共 50 条
[31]   Diagnostic performance of artificial intelligence approved for adults for the interpretation of pediatric chest radiographs [J].
Shin, Hyun Joo ;
Son, Nak-Hoon ;
Kim, Min Jung ;
Kim, Eun-Kyung .
SCIENTIFIC REPORTS, 2022, 12 (01)
[32]   Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs [J].
Kwak, Se Hyun ;
Kim, Eun-Kyung ;
Kim, Myung Hyun ;
Lee, Eun Hye ;
Shin, Hyun Joo .
PLOS ONE, 2023, 18 (03)
[33]   Incidentally found resectable lung cancer with the usage of artificial intelligence on chest radiographs [J].
Kwak, Se Hyun ;
Kim, Eun-Kyung ;
Kim, Myung Hyun ;
Shin, Hyun Joo ;
Lee, Eun Hye .
RESPIROLOGY, 2023, 28 :301-301
[34]   COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System [J].
Murphy, Keelin ;
Smits, Henk ;
Knoops, Arnoud J. G. ;
Korst, Michael B. J. M. ;
Samson, Tijs ;
Scholten, Ernst T. ;
Schalekamp, Steven ;
Schaefer-Prokop, Cornelia M. ;
Philipsen, Rick H. H. M. ;
Meijers, Annet ;
Melendez, Jaime ;
van Ginneken, Bram ;
Rutten, Matthieu .
RADIOLOGY, 2020, 296 (03) :E166-E172
[35]   Artificial intelligence-based detection of atrial fibrillation from chest radiographs [J].
Toshimasa Matsumoto ;
Shoichi Ehara ;
Shannon L. Walston ;
Yasuhito Mitsuyama ;
Yukio Miki ;
Daiju Ueda .
European Radiology, 2022, 32 :5890-5897
[36]   Diagnostic Performance of Artificial Intelligence in Chest Radiographs Referred from the Emergency Department [J].
Alcolea, Julia Lopez ;
Alfonso, Ana Fernandez ;
Alonso, Raquel Cano ;
Vazquez, Ana Alvarez ;
Moreno, Alejandro Diaz ;
Castellanos, David Garcia ;
Greciano, Lucia Sanabria ;
Hayoun, Chawar ;
Rodriguez, Manuel Recio ;
Vazquez, Cristina Andreu ;
Vasallo, Israel John Thuissard ;
de Vega, Vicente Martinez .
DIAGNOSTICS, 2024, 14 (22)
[37]   Artificial Intelligence interpretation of chest radiographs in intensive care. Ready for prime time? [J].
Joskowicz, Leo ;
Beil, Michael ;
Sviri, Sigal .
INTENSIVE CARE MEDICINE, 2025, 51 (01) :154-156
[38]   Artificial intelligence, chest radiographs, and radiology trainees: a powerful combination to enhance the future of radiologists? [J].
Mallio, Carlo A. ;
Quattrocchi, Carlo C. ;
Zobel, Bruno Beomonte ;
Parizel, Paul M. .
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2021, 11 (05) :2204-2207
[39]   Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs [J].
de Camargo, Thiago Fellipe Ortiz ;
Ribeiro, Guilherme Alberto Sousa ;
da Silva, Maria Carolina Bueno ;
da Silva, Luan Oliveira ;
Torres, Pedro Paulo Teixeira e Silva ;
da Silva, Denise do Socorro Rodrigues ;
de Santos, Mayler Olombrada Nunes ;
Salibe Filho, William ;
Rosa, Marcela Emer Egypto ;
Novaes, Magdala de Araujo ;
Massarutto, Thiago Augusto ;
Landi Junior, Osvaldo ;
Yanata, Elaine ;
Reis, Marcio Rodrigues da Cunha ;
Szarf, Gilberto ;
Netto, Pedro Vieira Santana ;
de Paiva, Joselisa Peres Queiroz .
FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, 8
[40]   Accuracy of artificial intelligence software for the detection of confirmed pleural effusion in thoracic radiographs in dogs [J].
Muller, Thiago Rinaldi ;
Solano, Mauricio ;
Tsunemi, Mirian Harumi .
VETERINARY RADIOLOGY & ULTRASOUND, 2022, 63 (05) :573-579
12345