Report 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
Analyst Credentials
Margareth Gagliardi, Chief Research Analyst in Advanced Materials for BCC Research, has more than 30 years of experience in the field of advanced materials, specializing in ceramic formulations, materials processing, and new product development. After receiving her degrees in Chemical and Ceramic Engineering, she worked in both manufacturing and R&D holding senior management positions within U.S. and European firms producing electronic, mechanical, chemical, and structural components.
She is currently focusing on market intelligence and advanced technologies analysis for organizations and research institutions that operate within a range of high-tech industries.
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