TY - JOUR
T1 - Application of artificial intelligence technology in oncology
T2 - Towards the establishment of precision medicine
AU - Hamamoto, Ryuji
AU - Suvarna, Kruthi
AU - Yamada, Masayoshi
AU - Kobayashi, Kazuma
AU - Shinkai, Norio
AU - Miyake, Mototaka
AU - Takahashi, Masamichi
AU - Jinnai, Shunichi
AU - Shimoyama, Ryo
AU - Sakai, Akira
AU - Takasawa, Ken
AU - Bolatkan, Amina
AU - Shozu, Kanto
AU - Dozen, Ai
AU - Machino, Hidenori
AU - Takahashi, Satoshi
AU - Asada, Ken
AU - Komatsu, Masaaki
AU - Sese, Jun
AU - Kaneko, Syuzo
N1 - Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Deep learning
KW - Machine learning
KW - Omics
KW - Pathology
KW - Precision medicine
KW - Radiology
UR - http://www.scopus.com/inward/record.url?scp=85096718724&partnerID=8YFLogxK
U2 - 10.3390/cancers12123532
DO - 10.3390/cancers12123532
M3 - 総説
AN - SCOPUS:85096718724
SN - 2072-6694
VL - 12
SP - 1
EP - 32
JO - Cancers
JF - Cancers
IS - 12
M1 - 3532
ER -