AI’s use in healthcare
This infographic shows a comprehensive overview of how AI is leveraged to enhance various aspects of the healthcare industry.
AI is rapidly emerging as a transformative force in the healthcare industry. The AI healthcare market can be categorized into three key segments: software, hardware, and services. The infographic below, reveals that software solutions currently dominate the AI market in healthcare comprising 41% of the total market. This segment includes Machine Learning platforms, Natural Language Processing (NLP) and text analysis tools, Deep Learning Platforms, Computer vision Speech and Audio Recognition, Integrated Development environments (IDEs), and AI frameworks. This category is expected to have the fastest growth.
Hardware components follow closely at 35%. These hardware components support healthcare organizations by incorporating AI-enabled devices and systems that integrate advanced computing technologies for medical purposes.
Lastly, the services segment represents 24% of the market. This proportion is attributed to the complexities associated with adopting AI systems, including challenges such as reduced healthcare costs, a lack of standardization of AI models, and resistance to change. Additionally, regulatory hurdles, such as those imposed by the FDA or the European Union, contribute to lengthy and costly approval processes, further impacting the development of robust solutions.
The second graph highlights the practical application of AI-enabled devices across various healthcare domains. The chart shows the analysis of the 521 authorized devices for the Food and Drugs Administration (FDA).
Radiological imaging leads the way, with a substantial 75.2% of AI usage in healthcare. This dominance is largely due to AI’s ability to enhance image analysis, improve diagnostic accuracy, and reduce the time required for interpreting complex scans.
Cardiovascular applications follow, accounting for 10.9%. In this area, AI technologies are being utilized to enhance the detection, diagnosis, and treatment of heart-related conditions.
Hematology and neurology have more modest adoption rates, around 2% each. Other fields, including general and plastic surgery, ophthalmology, clinical chemistry, and microbiology, represent a smaller portion of AI device usage, accounting for approximately 1% or less of AI usage.
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