特集 : 国別レポートが13,000件から検索可能になりました!

特集 : 海外市場の委託調査がセミカスタムベースでお手軽にできます

株式会社グローバルインフォメーション
TEL: 044-952-0102
表紙
市場調査レポート

癌領域におけるAI (人工知能)

Artificial Intelligence (AI) in Cancer

発行 BCC Research 商品コード 946857
出版日 ページ情報 英文 38 Pages
即納可能
価格
本日の銀行送金レート: 1USD=107.57円で換算しております。
癌領域におけるAI (人工知能) Artificial Intelligence (AI) in Cancer
出版日: 2020年07月02日 ページ情報: 英文 38 Pages
概要

当レポートでは、癌領域におけるAI (人工知能) の活用について調査し、AIの概要、現在の癌治療と課題、AIによるソリューション、既存・新興のAI用途、タイプ・用途別の展望などをまとめています。

第1章 技術ハイライト・市場の展望

  • AI (人工知能)
    • 認知コンピューティング・自然言語処理・機械学習
    • AIの世界市場
  • 癌と既存の治療法の主な問題
    • 外科手術
    • 放射線療法
    • 化学療法
    • 免疫療法
    • 腫瘍微小環境の変化
    • 光線療法
    • セラノスティクス
    • 遺伝子治療
    • 温熱療法
    • ソノダイナミックセラピー
  • 癌領域におけるAIの既存・新興の用途
    • 診断
    • 治療
    • 予後
    • 健康管理
    • 研究
  • 癌用途の複合アルゴリズムのタイプ
    • 機械学習アルゴリズム
    • 自然言語処理・音声認識アルゴリズム
  • 癌におけるAIの利用に関する主な課題
  • 癌関連AI:現在の動向・新興動向
    • AIとナノ医療の統合
    • AIとオーミックデータ
    • ドライバー遺伝子の同定
    • 薬剤転用
  • 最近の成果
    • 癌予測のためのアンサンブル法
    • 抗癌剤の相乗効果を予測するアルゴリズム
    • オープンソースの機械学習アルゴリズム
    • 自動脳組織分類のためのアルゴリズム
  • 癌におけるAIの市場展望
    • 用途別
    • AIタイプ別
    • 地域別
  • アナリスト
  • 関連レポート
図表

List of Tables

  • Table 1: Global Market for Artificial Intelligence, by Region, Through 2025
  • Table 2: Number of Yearly Deaths Globally, by Most Common Types of Cancer, 2018
  • Table 3: Number of Cancer Related Deaths Globally, by Major Region, 2018
  • Table 4: Applications of Artificial Intelligence in Cancer Diagnosis
  • Table 5: Applications of Artificial Intelligence in Cancer Therapy
  • Table 6: Applications of Artificial Intelligence in Cancer Prognosis
  • Table 7: Applications of Artificial Intelligence in Cancer Health Management
  • Table 8: Applications of Artificial Intelligence in Cancer Research
  • Table 9: Typical Applications of Supervised Learning Algorithms in Cancer
  • Table 10: Typical Applications of Regression Algorithms in Cancer
  • Table 11: Typical Applications of Naive Bayes Algorithms in Cancer
  • Table 12: Typical Applications of Decision Tree Algorithms in Cancer
  • Table 13: Typical Applications of Random Forest Algorithms in Cancer
  • Table 14: Typical Applications of Support Vector Machine Algorithms in Cancer
  • Table 15: Typical Applications of K-nearest Neighbor Algorithms in Cancer
  • Table 16: Typical Applications of Logistic Regression Algorithms in Cancer
  • Table 17: Typical Applications of Clustering Algorithms in Cancer
  • Table 18: Typical Applications of Association Rule Learning Algorithms in Cancer
  • Table 19: Typical Applications of Anomaly Detection Algorithms in Cancer
  • Table 20: Typical Applications of Dimensionality Reduction Algorithms in Cancer
  • Table 21: Typical Applications of Semi-Supervised Algorithms in Cancer
  • Table 22: Typical Applications of Reinforcement Learning Algorithms in Cancer
  • Table 23: Typical Applications of Artificial Neural Networks in Cancer
  • Table 24: Typical Applications of Convolutional Neural Networks in Cancer
  • Table 25: Typical Applications of Recurrent Neural Networks in Cancer
  • Table 26: Typical Applications of Deep Neural Networks in Cancer
  • Table 27: Typical Applications of Text Mining in Cancer
  • Table 28: Typical Applications of NLP and Speech Recognition Algorithms in Cancer
  • Table 29: Current and Emerging Trends in Artificial Intelligence for Cancer
  • Table 30: Global Market for Artificial Intelligence in Cancer, by Application, Through 2025
  • Table 31: Global Market for Artificial Intelligence in Cancer, by AI Type, Through 2025
  • Table 32: Global Market for Artificial Intelligence in Cancer, by Region, Through 2025

List of Figures

  • Figure 1: Flowchart of Artificial Intelligence Capabilities
  • Figure 2: Forecasted Global Market Shares of Artificial Intelligence, by Region, 2025
  • Figure 3: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by Application, 2025
  • Figure 4: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by AI Type, 2025
  • Figure 5: Forecasted Global Market Shares of Artificial Intelligence in Cancer, by Region, 2025
目次
Product Code: BIO196A

Highlights:

The goal of this short study is to provide a detailed review of how AI is being applied in fighting cancer. The report will evaluate the utilization of various AI tools (e.g., machine learning, natural language processing, image processing, speech recognition) in diagnosis, therapy, research and development, and health management (e.g., patient data, insurance information, and hospital stay) as it relates to cancer. Also, emphasis will be given to the types of algorithms (e.g., artificial neural networks, deep learning) that have been developed so far in the field of cancer.

Report Includes:

  • Introduction to cancer, most common types, and main medical issues
  • A look at the major applications of AI tools in the diagnosis, therapy, R&D and health management of cancer
  • Information on types of complex algorithms developed for cancer
  • Discussion of major issues related to the utilization of AI for diagnosis and treatment of cancer
  • Analysis of the current and emerging trends in AI as it relates to cancer
  • Recent achievements and market outlook for AI in cancer

Table of Contents

Chapter 1: Technology Highlights and Market Outlook

  • Artificial Intelligence
    • Cognitive Computing, Natural Language Processing and Machine Learning
    • Global Market for Artificial Intelligence
  • Cancer and Main Issues with Existing Therapies
    • Surgery
    • Radiotherapy
    • Chemotherapy
    • Immunotherapy
    • Alteration of Tumor Microenvironment
    • Phototherapy
    • Theranostics
    • Gene Therapy
    • Hyperthermia Therapy
    • Sonodynamic Therapy
  • Current and Emerging Applications of AI in Cancer
    • Diagnosis
    • Therapy
    • Prognosis
    • Health Management
    • Research
  • Types of Complex Algorithms Used in Cancer Applications
    • Machine Learning Algorithms
    • Natural Language Processing and Speech Recognition Algorithms
  • Major Issues Related to the Utilization of AI in Cancer
  • Current and Emerging Trends in AI Related to Cancer
    • Integration of Artificial Intelligence and Nanomedicine
    • Artificial Intelligence and Omic Data
    • Identification of Driver Genes
    • Drug Repurposing
  • Recent Achievements
    • Ensemble Method for Cancer Prediction
    • Algorithm for Predicting Anticancer Drug Synergies
    • Open Source Machine-Learning Algorithms
    • Algorithm for Automated Brain Histology Classification
  • Market Outlook for AI in Cancer
    • Market by Application
    • Market by AI Type
    • Market by Region
  • Analyst's Credentials
  • Related BCC Research Reports