Artificial Intelligence (AI) in HIV/AIDS

Publisher Name :
Date: 28-Jul-2020
No. of pages: 38

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

Summary:

Artificial intelligence (AI) is a term used to identify a scientific field that covers the creation of machines aimed at reproducing wholly or in part the intelligent behavior of human beings. These machines include computers, sensors, robots, and hypersmart devices.

Artificial Intelligence (AI) in HIV/AIDS

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 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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