Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jensen, Malte Engmann Kjeldskov"'
Autor:
Blankemeier, Louis, Cohen, Joseph Paul, Kumar, Ashwin, Van Veen, Dave, Gardezi, Syed Jamal Safdar, Paschali, Magdalini, Chen, Zhihong, Delbrouck, Jean-Benoit, Reis, Eduardo, Truyts, Cesar, Bluethgen, Christian, Jensen, Malte Engmann Kjeldskov, Ostmeier, Sophie, Varma, Maya, Valanarasu, Jeya Maria Jose, Fang, Zhongnan, Huo, Zepeng, Nabulsi, Zaid, Ardila, Diego, Weng, Wei-Hung, Junior, Edson Amaro, Ahuja, Neera, Fries, Jason, Shah, Nigam H., Johnston, Andrew, Boutin, Robert D., Wentland, Andrew, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Chaudhari, Akshay S.
Over 85 million computed tomography (CT) scans are performed annually in the US, of which approximately one quarter focus on the abdomen. Given the current radiologist shortage, there is a large impetus to use artificial intelligence to alleviate the
Externí odkaz:
http://arxiv.org/abs/2406.06512
Autor:
Reis, Eduardo Pontes, Blankemeier, Louis, Zambrano Chaves, Juan Manuel, Jensen, Malte Engmann Kjeldskov, Yao, Sally, Truyts, Cesar Augusto Madid, Willis, Marc H., Adams, Scott, Amaro Jr, Edson, Boutin, Robert D., Chaudhari, Akshay S.
Publikováno v:
European Radiology; Oct2024, Vol. 34 Issue 10, p6680-6687, 8p
Autor:
Blankemeier L; Department of Electrical Engineering, Stanford University.; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Cohen JP; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University., Kumar A; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Van Veen D; Department of Electrical Engineering, Stanford University.; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Gardezi SJS; Department of Radiology, University of Wisconsin-Madison., Paschali M; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Chen Z; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Delbrouck JB; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Reis E; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Truyts C; Department of Radiology, Hospital Israelita Albert Einstein., Bluethgen C; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, University Hospital Zurich., Jensen MEK; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Ostmeier S; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Varma M; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Computer Science, Stanford University., Valanarasu JMJ; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Computer Science, Stanford University., Fang Z; Department of Radiology, Stanford University., Huo Z; Department of Biomedical Data Science, Stanford University., Nabulsi Z; Department of Electrical Engineering, Stanford University.; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Radiology, University of Wisconsin-Madison.; Department of Radiology, Hospital Israelita Albert Einstein.; Department of Radiology, University Hospital Zurich.; Department of Computer Science, Stanford University.; Department of Biomedical Data Science, Stanford University.; Department of Medicine, Stanford University., Ardila D; Department of Electrical Engineering, Stanford University.; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Radiology, University of Wisconsin-Madison.; Department of Radiology, Hospital Israelita Albert Einstein.; Department of Radiology, University Hospital Zurich.; Department of Computer Science, Stanford University.; Department of Biomedical Data Science, Stanford University.; Department of Medicine, Stanford University., Weng WH; Department of Electrical Engineering, Stanford University.; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Radiology, University of Wisconsin-Madison.; Department of Radiology, Hospital Israelita Albert Einstein.; Department of Radiology, University Hospital Zurich.; Department of Computer Science, Stanford University.; Department of Biomedical Data Science, Stanford University.; Department of Medicine, Stanford University., Amaro E; Department of Radiology, Hospital Israelita Albert Einstein., Ahuja N; Department of Medicine, Stanford University., Fries J; Department of Computer Science, Stanford University.; Department of Biomedical Data Science, Stanford University., Shah NH; Department of Radiology, Stanford University.; Department of Biomedical Data Science, Stanford University., Johnston A; Department of Radiology, Stanford University., Boutin RD; Department of Radiology, Stanford University., Wentland A; Department of Radiology, University of Wisconsin-Madison., Langlotz CP; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University., Hom J; Department of Medicine, Stanford University., Gatidis S; Department of Radiology, Hospital Israelita Albert Einstein., Chaudhari AS; Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford University.; Department of Radiology, Stanford University.; Department of Biomedical Data Science, Stanford University.
Publikováno v:
Research square [Res Sq] 2024 Jun 28. Date of Electronic Publication: 2024 Jun 28.