November 2024 SOCRA Source Journal - Journal - Page 17
and may raise trial success
rates and regulatory approval.
Overall our analysis illuminates
the larger effects of AI in
clinical trials beyond ef昀椀ciency
advantages, trial access
and improving participant
safety. Additionally, AI’s data
integration and analytic skills
speed eligibility screening,
ensuring a more accurate
match between participants
and trial settings and a diverse
trial environment. Again, the
investigation acknowledges
AI’s transformational promise
but also its data restrictions
and ethical concerns, as well,
the future of AI in clinical trials
requires standardized datasets,
ethical frameworks, and
collaborative research to meet
these problems. In brief, the
study showcases cutting-edge AI
applications in clinical trials and
lays the groundwork for future
research. Therefore, resolving
restrictions, ethical issues, and
promoting collaborative research
will help us harness AI’s promise
and create patient-centric,
ef昀椀cient, and creative clinical
trial settings.
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