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암 분야의 AI(인공지능)

Artificial Intelligence (AI) in Cancer

리서치사 BCC Research
발행일 2020년 07월 상품 코드 946857
페이지 정보 영문 38 Pages
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암 분야의 AI(인공지능) Artificial Intelligence (AI) in Cancer
발행일 : 2020년 07월 페이지 정보 : 영문 38 Pages

암 분야의 AI(인공지능) 활용에 대해 조사했으며, AI 개요, 현재 암 치료와 과제, AI에 의한 솔루션, 기존·새로운 AI 용도, 종류·용도별 전망 등을 정리했습니다.

제1장 기술 하이라이트와 시장 전망

  • AI(인공지능)
    • 인지 컴퓨팅, 자연언어처리, 머신러닝
    • AI의 세계 시장
  • 암과 기존 치료법의 주요 문제
    • 외과 수술
    • 방사선치료
    • 화학요법
    • 면역치료
    • 암 미세환경의 변화
    • 광선요법
    • 테라노스틱스(Theranostics)
    • 유전자치료
    • 온열요법
    • 초음파역동치료(Sonodynamic Therapy)
  • 암 분야 AI의 기존·새로운 용도
    • 진단
    • 치료
    • 예후
    • 건강 관리
    • 연구
  • 암 용도의 복합 알고리즘 종류
    • 머신러닝 알고리즘
    • 자연언어처리·음성인식 알고리즘
  • 암의 AI 이용에 관한 주요 과제
  • 암 관련 AI : 현재 동향·새로운 동향
    • AI와 나노의료의 통합
    • AI와 오믹 데이터
    • 드라이버 유전자의 동정
    • 약제 전용
  • 최근의 성과
    • 암 예측을 위한 앙상블법
    • 항암제의 상승효과를 예측하는 알고리즘
    • 오픈소스 머신러닝 알고리즘
    • 자동 뇌조직 분류를 위한 알고리즘
  • 암용 AI 시장 전망
    • 용도별
    • AI 종류별
    • 지역별
  • 애널리스트
  • 관련 보고서
KSM 20.07.16

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

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
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