Trends in Artificial Intelligence Applications in Clinical Trials: An analysis of ClinicalTrials.gov-Reference-Cited by-同舟云学术

Trends in Artificial Intelligence Applications in Clinical Trials: An analysis of ClinicalTrials.gov

Published:2024-06-30 Issue:2 Volume:34 Page:134-139
ISSN:1226-6051
Container-title:Korean Journal of Clinical Pharmacy
language:en
Short-container-title:Korean J Clin Pharm

Author:

Go Jeong Min¹,Lee Ji Yeon¹,Song Yun-Kyoung²,Kim Jae Hyun¹

Affiliation:

1. School of Pharmacy, Jeonbuk National University, Jeonju 54896, Republic of Korea

2. College of Pharmacy, The Catholic University of Korea, Bucheon 14662, Republic of Korea

Publisher

The Korean College of Clinical Pharmacy

Link

https://pdf.medrang.co.kr/KJCP/2024/034/KJCP034-02-06.pdf

Reference21 articles.

1. Food and Drug Administration. Artificial Intelligence and Machine Learning (AI/ML) for Drug Development, 2024. Available from: https://www.fda.gov/science-research/science-and-research-special-topics/artificial-intelligence-and-machine-learning-aiml-drug-development. Accessed April 28, 2024.

2. ElZarrad MK. In: In: 18th Annual Scientific Meeting of the International Society for CNS Clinical Trials and Methodology. Washington DC, USA, 2022.

3. Landscape Analysis of the Application of Artificial Intelligence and Machine Learning in Regulatory Submissions for Drug Development From 2016 to 2021

4. Food and Drug Administration. Using Artificial Intelligence and Machine Learning in the Development of Drug and Biological Products, 2023. Available from: https://www.fda.gov/media/167973/download. Accessed April 28, 2024.

5. European Medicines Agency. EMA's Regulatory Science Strategy to 2025, 2023. Available from: https://www.ema.europa.eu/en/documents/regulatory-procedural-guideline/ema-regulatory-science-2025-strategic-reflection_en.pdf. Accessed April 28, 2024.