Introduction: AI for Systematic Reviews & Meta-Analysis | HubMeta Tutorial #1 — Transcript

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1. 0:15Hello and welcome to this new series of
2. 0:18videos on Hub Meta. My name is Hardi Fer
3. 0:21Borsi and I'm a co-founder of the Hub
4. 0:24Meta platform. The previous series of
5. 0:26our videos recorded in 2021 walk you
6. 0:30through our legacy platform and how to
7. 0:33conduct systematic reviews and meta
8. 0:35analysis. Back then on the platform we
9. 0:38had a little bit of AI uh included. But
10. 0:42today we are going to bring to you a new
11. 0:46fully AI enabled platform
12. 0:50that uses AI in all aspects of
13. 0:54systematic review and meta analysis. But
14. 0:58the important part is that because we as
15. 1:01researchers wanted it to always be
16. 1:03included in every single step of the
17. 1:06meta analysis process. We will give you
18. 1:09all the livers to make sure that the
19. 1:12research you're doing is rigorous enough
20. 1:15and matches your criteria. In this new
21. 1:17video series, we will show you how our
22. 1:20platform works. And through these
23. 1:22videos, we will also teach you how to
24. 1:24conduct systematic reviews and go
25. 1:28through the steps of doing that. Now, if
26. 1:31you have done systematic reviews or meta
27. 1:33analysis, you know the pain. Sometimes
28. 1:36you have to go through hundreds or
29. 1:38thousands of papers, extract, make a lot
30. 1:42of decisions and a whole lot of this is
31. 1:45honestly not science. It's just pure
32. 1:49laborious work of extracting information
33. 1:53and repeatedly so on a very huge body of
34. 1:57research
35. 1:59on a huge number of papers and that
36. 2:03usually means a whole lot of time a
37. 2:06whole lot of budget spent on tasks that
38. 2:10are not actually scientific. What we
39. 2:14want to do is to make the laborious part
40. 2:18be done for us by AI. And we will just
41. 2:22spend most of our time as masters who
42. 2:26ask it to do the work for us and to have
43. 2:30oversight over it and then to make the
44. 2:34good decisions that has to come out of
45. 2:37science and then to produce future
46. 2:39science by looking at the data that is
47. 2:42extracted, analyzing, synthesizing,
48. 2:46thinking and then putting it all
49. 2:48together into a beautiful
50. 2:51So please be with us in this new video
51. 2:54series on how to use Hubmeta for
52. 2:57systematic reviews and meta analysis.