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Artificial Intelligence (AI) in HIV/AIDS

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    Report

  • 38 Pages
  • July 2020
  • Region: Global
  • BCC Research
  • ID: 5135148
UP TO OFF until Aug 31st 2033

Report Includes:


  • An overview of 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

  • Custom Research
  • Related 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 Naïve 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"


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