Kruthi Suvarna

Dr. Kruthi Suvarna


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 November 2020 in Cancers
Verified
Journal Article
Open access
PDF file
Ryuji HamamotoRyuji Hamamoto
Ryuji Hamamoto
KSKruthi Suvarna
Kruthi Suvarna
MYMasayoshi Yamada
Masayoshi Yamada
KKKazuma Kobayashi
Kazuma Kobayashi
NSNorio Shinkai
Norio Shinkai
SKSyuzo Kaneko
Syuzo Kaneko
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.