AI is a complex topic, with debate even within the space as to what it is. However, there are multiple sectors in AI as well.
Many of these different types of AI have use for healthcare, both customer facing and to help practitioners. As Yann Gaston-Mathe, CEO & Co-Founder of Iktos told us for our latest report:
‘Coronavirus has shown that the drug discovery and development cycle can be significantly accelerated in situations of urgency, has showcased the value of mining big databases for drug discovery, and highlighted the importance of data sharing and collaboration’.
But, this is not the only use of AI in healthcare. To better understand the role that AI can take, we explore:
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Rule-based expert systems
- Robots
- Robotic Process Automation (RPA).
While innovations like the GPT-3 have given us a taste of the future evolutions of AI, for healthcare, where attention to detail and the ability to adjust to new situations, 'intelligent services' promise to be the most useful solutions. Only through integration with our current services and aiding practitioners and researchers, will these technologies come to fruition.
