Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, a...
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Format: | Article |
Language: | English |
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MDPI AG
2020-11-01
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Series: | Cancers |
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Online Access: | https://www.mdpi.com/2072-6694/12/12/3532 |
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doaj-83eab36744014adc946c92c06bfd9c23 |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ryuji Hamamoto Kruthi Suvarna Masayoshi Yamada Kazuma Kobayashi Norio Shinkai Mototaka Miyake Masamichi Takahashi Shunichi Jinnai Ryo Shimoyama Akira Sakai Ken Takasawa Amina Bolatkan Kanto Shozu Ai Dozen Hidenori Machino Satoshi Takahashi Ken Asada Masaaki Komatsu Jun Sese Syuzo Kaneko |
spellingShingle |
Ryuji Hamamoto Kruthi Suvarna Masayoshi Yamada Kazuma Kobayashi Norio Shinkai Mototaka Miyake Masamichi Takahashi Shunichi Jinnai Ryo Shimoyama Akira Sakai Ken Takasawa Amina Bolatkan Kanto Shozu Ai Dozen Hidenori Machino Satoshi Takahashi Ken Asada Masaaki Komatsu Jun Sese Syuzo Kaneko Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine Cancers machine learning deep learning artificial intelligence precision medicine radiology pathology |
author_facet |
Ryuji Hamamoto Kruthi Suvarna Masayoshi Yamada Kazuma Kobayashi Norio Shinkai Mototaka Miyake Masamichi Takahashi Shunichi Jinnai Ryo Shimoyama Akira Sakai Ken Takasawa Amina Bolatkan Kanto Shozu Ai Dozen Hidenori Machino Satoshi Takahashi Ken Asada Masaaki Komatsu Jun Sese Syuzo Kaneko |
author_sort |
Ryuji Hamamoto |
title |
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine |
title_short |
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine |
title_full |
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine |
title_fullStr |
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine |
title_full_unstemmed |
Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine |
title_sort |
application of artificial intelligence technology in oncology: towards the establishment of precision medicine |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2020-11-01 |
description |
In recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field. |
topic |
machine learning deep learning artificial intelligence precision medicine radiology pathology |
url |
https://www.mdpi.com/2072-6694/12/12/3532 |
work_keys_str_mv |
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spelling |
doaj-83eab36744014adc946c92c06bfd9c232020-11-27T08:10:45ZengMDPI AGCancers2072-66942020-11-01123532353210.3390/cancers12123532Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision MedicineRyuji Hamamoto0Kruthi Suvarna1Masayoshi Yamada2Kazuma Kobayashi3Norio Shinkai4Mototaka Miyake5Masamichi Takahashi6Shunichi Jinnai7Ryo Shimoyama8Akira Sakai9Ken Takasawa10Amina Bolatkan11Kanto Shozu12Ai Dozen13Hidenori Machino14Satoshi Takahashi15Ken Asada16Masaaki Komatsu17Jun Sese18Syuzo Kaneko19Division of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanIndian Institute of Technology Bombay, Powai, Mumbai 400 076, IndiaDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDepartment of Diagnostic Radiology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDepartment of Dermatologic Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanDivision of Molecular Modification and Cancer Biology, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo 104-0045, JapanIn recent years, advances in artificial intelligence (AI) technology have led to the rapid clinical implementation of devices with AI technology in the medical field. More than 60 AI-equipped medical devices have already been approved by the Food and Drug Administration (FDA) in the United States, and the active introduction of AI technology is considered to be an inevitable trend in the future of medicine. In the field of oncology, clinical applications of medical devices using AI technology are already underway, mainly in radiology, and AI technology is expected to be positioned as an important core technology. In particular, “precision medicine,” a medical treatment that selects the most appropriate treatment for each patient based on a vast amount of medical data such as genome information, has become a worldwide trend; AI technology is expected to be utilized in the process of extracting truly useful information from a large amount of medical data and applying it to diagnosis and treatment. In this review, we would like to introduce the history of AI technology and the current state of medical AI, especially in the oncology field, as well as discuss the possibilities and challenges of AI technology in the medical field.https://www.mdpi.com/2072-6694/12/12/3532machine learningdeep learningartificial intelligenceprecision medicineradiologypathology |