November 2024 SOCRA Source Journal - Journal - Page 13
of the current AI applications
in clinical trials, particularly in
patient recruitment.
RESULTS
Overview of AI Applications
This study highlights the
use of AI in clinical trials
(CTs), particularly in patient
recruitment. It is worth
mentioning that out of the 48
articles that were analyzed,
more than half (30 papers) deal
with recruiting. This shows how
important AI is to recruiting.
As a result, the study uncovered
several prospects for AI
deployment, with an emphasis
on improving ef昀椀ciency in
different CT tasks.
Summary of AI Technologies
Employed in Clinical Trial
Patient Recruitment
Ansart et al. (2020), Beck et al.
(2020), and Qi et al. (2021) all
note that AI has been used to
improve patient recruitment
procedures, particularly in the
areas of automated eligibility
analysis, matching people to
Figure 1. Flow Diagram of Papers Researched
Screening
Identi昀椀cation
Identi昀椀cation of Studies via Databases and Regulatory Authority Websites
Records identi昀椀ed from:
Databases (n = 307)
Regulatory Authority website
(n = 12)
Records removed before
screening:
Duplicate records removed
(n = 15)
Records screened
(n = 304)
Reports excluded were those
found to be out of scope, based
on title review (n = 191)
Reports sought for retrieval
(n = 113)
Included
Reports assessed for eligibility
(n = 112)
Reports excluded due to not
being able to retrieve full
manuscript (n = 1)
Reports excluded were those
found to be out of scope, based
on abstract or full manuscript
review (n = 55)
Papers of included studies
(n = 48)
Regulatory Documents (n = 9)
SOCRA SOURCE © November 2024
13
