表紙
市場調查報告書

艾滋病毒/艾滋病的人工智能

Artificial Intelligence (AI) in HIV/AIDS

出版商 BCC Research 商品編碼 951945
出版日期 內容資訊 英文 38 Pages
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價格
艾滋病毒/艾滋病的人工智能 Artificial Intelligence (AI) in HIV/AIDS
出版日期: 2020年07月28日內容資訊: 英文 38 Pages
簡介

在此報告中,我們研究和分析了HIV/AIDS的人工智能(AI)市場,並分析了各種AI工具(機器學習,患者數據,保險信息,住院等)著重於自然語言處理,圖像處理,語音識別等的使用,它提供了系統的信息,包括算法的類型。

目錄

第1章技術亮點和市場前景

  • 人工智能(AI)
  • 世界人工智能(AI)市場
  • 艾滋病毒/艾滋病的主要問題和現有治療方法
  • 當前的艾滋病治療和問題
  • 人工智能在艾滋病毒/艾滋病中的當前/新興應用
  • 診斷
  • 治療
  • 預後
  • 健康管理
  • 研究
  • 用於HIV/AIDS的複雜算法的類型
  • 機器學習算法
  • 自然語言處理算法
  • 上下文識別算法
  • 與將AI用於HIV/AIDS有關的主要問題 與AI有關的艾滋病毒/艾滋病的當前/新興趨勢
  • 手機和社交媒體在發展中國家的擴散
  • 生物信息學
  • 人工智能(AI)和增強/虛擬現實(AR/VR)
  • 最近的成就
  • 加強艾滋病預防干預
  • 用於提供HIV/AIDS信息的自主聊天機器人
  • 特定於HIV的大腦模式
  • HIV-1基因組開源機器學習算法 AI艾滋病毒/艾滋病的市場前景
  • 應用市場
  • 市場:按AI類型
  • 按地區劃分的市場
  • 分析師職業
  • BCC海關調查
  • BCC研究相關報告
目錄
Product Code: BIO197A

Highlights:

The goal of this short study is to provide a detailed review of how AI is being applied in fighting HIV/AIDS. The report evaluates 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 HIV/AIDS. Also, emphasis is given to the types of algorithms (e.g., artificial neural networks, deep learning) that have been developed so far in the field of HIV/AIDS.

Report Includes

An overview of the artificial intelligence (AI) applications in fighting against HIV/AIDS-related illnesses

Assessment of various AI tools – notably, machine learning, natural language processing, image processing, and speech recognition -- and their practical healthcare applications which include diagnosis, therapy, R&D, and health management in the field of HIV/AIDS

Data corresponding to global AI markets and their employability in HIV/AIDS and main medical issues

Discussion of recent achievements and breakthrough therapies related to HIV/AIDS disease segments

Underlying technological trends and major issues related to the utilization of AI for diagnosis and treatment of HIV/AIDS

Coverage of artificial neural networks and deep learning as primary AI algorithm types and their feasible healthcare applications within this field

Report Includes:

  • An overview of the artificial intelligence (AI) applications in fighting against HIV/AIDS-related illnesses
  • Assessment of various AI tools - notably, machine learning, natural language processing, image processing, and speech recognition -- and their practical healthcare applications which include diagnosis, therapy, R&D, and health management in the field of HIV/AIDS
  • Data corresponding to global AI markets and their employability in HIV/AIDS and main medical issues
  • Discussion of recent achievements and breakthrough therapies related to HIV/AIDS disease segments
  • Underlying technological trends and major issues related to the utilization of AI for diagnosis and treatment of HIV/AIDS
  • Coverage of artificial neural networks and deep learning as primary AI algorithm types and their feasible healthcare applications within this field

Table of Contents

Chapter 1 Technology Highlights and Market Outlook

  • Artificial Intelligence
  • Global Market for Artificial Intelligence
  • HIV/AIDS and Main Issues with Existing Therapies
  • Current HIV Therapies and Issues
  • Current and Emerging Applications of AI in HIV/AIDS
  • Diagnosis
  • Therapy
  • Prognosis
  • Health Management
  • Research
  • Types of Complex Algorithms Used in HIV/AIDS Applications
  • Machine Learning Algorithms
  • Natural Language Processing Algorithms
  • Context-Awareness Algorithms
  • Major Issues Related to the Utilization of AI in HIV/AIDS
  • Current and Emerging Trends in AI Related to HIV/AIDS
  • Diffusion of Mobile Phones and Social Media in Underdeveloped and Developing Countries
  • Bioinformatics
  • Artificial Intelligence and Augmented/Virtual Reality
  • Recent Achievements
  • Enhancement of HIV Prevention Interventions
  • Autonomous Chatbot for Providing HIV/AIDS Information
  • Identification of Brain Patterns Specific to HIV Infection
  • Open Source Machine-Learning Algorithm for HIV-1 Genomes
  • Market Outlook for AI in HIV/AIDS
  • Market by Application
  • Market by AI Type
  • Market by Region
  • Analyst's Credentials
  • BCC Custom Research
  • Related BCC Research Reports

List of Tables

  • Table 1 : Global Market for Artificial Intelligence, by Application, Through 2025
  • Table 2 : Global Market for Artificial Intelligence, by Region, Through 2025
  • Table 3 : Distribution of People with HIV, by Region, 2018
  • Table 4 : Distribution of People with HIV, by Gender and Age, 2018
  • Table 5 : Applications of Artificial Intelligence in HIV/AIDS Diagnosis
  • Table 6 : Applications of Artificial Intelligence in HIV/AIDS Therapy
  • Table 7 : Applications of Artificial Intelligence in HIV/AIDS Prognosis
  • Table 8 : Applications of Artificial Intelligence in HIV/AIDS Health Management
  • Table 9 : Applications of Artificial Intelligence in HIV/AIDS Research
  • Table 10 : Typical Applications of Supervised Learning Algorithms in HIV/AIDS
  • Table 11 : Typical Applications of Regression Algorithms in HIV/AIDS
  • Table 12 : Typical Applications of Naive Bayes Algorithms in HIV/AIDS
  • Table 13 : Typical Applications of Decision Tree Algorithms in HIV/AIDS
  • Table 14 : Typical Applications of Random Forest Algorithms in HIV/AIDS
  • Table 15 : Typical Applications of Support Vector Machine Algorithms in HIV/AIDS
  • Table 16 : Typical Applications of K-nearest Neighbor Algorithms in HIV/AIDS
  • Table 17 : Typical Applications of Logistic Regression Algorithms in HIV/AIDS
  • Table 18 : Typical Applications of Clustering Algorithms in HIV/AIDS
  • Table 19 : Typical Applications of Association Rule Learning Algorithms in HIV/AIDS
  • Table 20 : Typical Applications of Anomaly Detection Algorithms in HIV/AIDS
  • Table 21 : Typical Applications of Dimensionality Reduction Algorithms in HIV/AIDS
  • Table 22 : Typical Applications of Semi-supervised Algorithms in HIV/AIDS
  • Table 23 : Typical Applications of Reinforcement Learning Algorithms in HIV/AIDS
  • Table 24 : Typical Applications of Artificial Neural Networks in HIV/AIDS
  • Table 25 : Typical Applications of Convolutional Neural Networks in HIV/AIDS
  • Table 26 : Typical Applications of Recurrent Neural Networks in HIV/AIDS
  • Table 27 : Typical Applications of Deep Neural Networks in HIV/AIDS
  • Table 28 : Typical Applications of Text Mining in HIV/AIDS
  • Table 29 : Typical Applications of NLP and Speech Recognition Algorithms in HIV/AIDS
  • Table 30 : Global Market for Augmented and Virtual Reality, by Type, Through 2025
  • Table 31 : Global Market for Augmented and Virtual Reality, by Product, Through 2025
  • Table 32 : Current and Emerging Trends in Artificial Intelligence for HIV/AIDS
  • Table 33 : Global Market for Artificial Intelligence in HIV/AIDS, by Application, Through 2025
  • Table 34 : Global Market for Artificial Intelligence in HIV/AIDS, by AI Type, Through 2025
  • Table 35 : Global Market for Artificial Intelligence in HIV/AIDS, by Region, Through 2025

List of Figures

  • Figure 1 : Artificial Intelligence
  • Figure 2 : Global Market Shares of Artificial Intelligence, by Application, 2025
  • Figure 3 : Global Market Shares of Artificial Intelligence, by Region, 2025
  • Figure 4 : Global Shares of People with HIV, by Region, 2018
  • Figure 5 : Global Shares of People with HIV, by Gender and Age, 2018
  • Figure 6 : Global Market Shares of Augmented and Virtual Reality, by Type, 2025
  • Figure 7 : Global Market Shares of Augmented and Virtual Reality, by Product, 2025
  • Figure 8 : Global Market Shares of Artificial Intelligence in HIV/AIDS, by Application, 2025
  • Figure 9 : Global Market Shares of Artificial Intelligence in HIV/AIDS, by AI Type, 2025
  • Figure 10 : Global Market Shares of Artificial Intelligence in HIV/AIDS, by Region, 2025