Applications of AI in Healthcare pose a number of challenges and considerations which differ substantially from other business verticals. We conducted an industry survey specifically about AI in healthcare, to understand more about current trends and issues. A total of 321 respondents from 41 countries participated in the survey. A quarter of all respondents (27%) held Technical Leadership roles. This survey was conducted in collaboration1 with John Snow Labs.
Here are a few highlights:
Foundational technologies: When asked what technologies they plan to have in place by the end of 2022, almost half of respondents cited data integration. Technical Leaders cited data integration, NLP, BI, and data annotation as their top four priorities. Respondents from Mature organizations cited data integration, data annotation, data science platform, and NLP as their top four selections.
Software for Building AI Solutions: When asked what types of software respondents are using to build their AI applications, the most popular selections were locally installed commercial software, and open source software. Technical Leaders cited open source software and public cloud providers as their clear favorites.
For more on how leading Healthcare, Biotech, and Pharmaceutical companies are building AI and Machine Learning products and services, download the full report by filling out the form below.
[1] This survey is part of a collaboration between Gradient Flow and John Snow Labs. See our Statement of Editorial Independence. This was an online survey which ran for 50 days, from January 13 to March 4, 2022.
