Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine
Year: 2020
Type: article
Abstract: 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.
Source: Cancers
Authors: 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
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,324
Awards: G1589429090, G171260801, 人工知能を用いた統合的ながん医療システムの開発, G3367565477, Construction of a multilayered integrated epigenetics database based on machine learning and deep learning, Identification and characterization of DNA/RNA heteroduplex oligonucleotide cleaving enzyme, G6474369700, G6718509927, Next generation epigenomics using artificial intelligence and robotics in ovarian cancer, Radiomics in glioma, G7970824287
OpenAlex ID: W3110223342
