pISSN 1226-6051
eISSN 2508-786X

Table. 2.

Table. 2.

Characteristics of Clinical Trials that use Artificial intelligence/ Machine learning/Deep learning

Category
Study_type Overall (n=131)
Interventional 87 (66.4)
Observational 44 (33.6)
Phase Overall (n=131)
Not Applicable 34 (26.0)
Early Phase 1 1 (0.8)
Phase 1 3 (2.3)
Phase 1/Phase 2 5 (3.8)
Phase 2 15 (11.5)
Phase 2/Phase 3 2 (1.5)
Phase 3 13 (9.9)
Phase 4 14 (10.7)
Null 44 (33.6)
Sponsorsa Overall (n=175)
Industry 21 (12.0)
Network 1 (0.6)
NIH 15 (8.6)
Other 114 (65.1)
Other_gov 13 (7.4)
Unknown 11 (6.3)
Status Overall (n=131)
Active, not recruiting 7 (5.3)
Completed 25 (19.1)
Enrolling by invitation 1 (0.8)
Not yet recruiting 18 (13.7)
Recruiting 57 (43.5)
Terminated 3 (2.3)
Unknown status 19 (14.5)
Withdrawn 1 (0.8)
Interventiona,b Overall (n=191)
Drug 100 (52.4)
Other 19 (9.9)
Device 15 (7.9)
Biological 13 (6.8)
Combinational Product 11 (5.8)
Dietary Supplement 9 (4.7)
Radiation 8 (4.2)
Procedure 7 (3.7)
Behavioral 5 (2.6)
Diagnostic test 3 (1.6)
Genetic 1 (0.5)
Anticipated enrollment Overall (n=131)
0 -100 53 (40.5)
101-1000 57 (43.5)
>1000 19 (14.5)
Null 2 (1.5)

aTrials applicable to multiple categories have been counted more than once

bClinical trial protocols that included at least one of the following types of interventions were screened: Drug, Biological, Dietary Supplement, or Combination Product. Some clinical trial protocols included multiple types of interventions.

Korean J Clin Pharm 2024;34:134-9 https://doi.org/10.24304/kjcp.2024.34.2.134
© 2024 Korean J Clin Pharm