A Review On: AI Used in Clinical Trials

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Authors: Kapadi Suvarana*, Chothave Sayali, Mahale Nikita, Muthe Sakshi, Barokar Pooja
Cited by: 0

Abstract

The term “artificial intelligence” refers to a broad range of technologies that are currently being discussed and introduced in various clinical trials and areas of medicine, including patient requirements and enrollment, trial site selection, data collection, outcome assessment, safety monitoring, pharmacovigilance, and medical imaging. But there isn’t much information or literature on how AI methods can be used into clinical trial design. These articles will discuss various aspects of artificial intelligence (AI) being utilized in trials. Today, many AI methods are applied in clinical studies of new medications. Clinical trial safety and privacy ethical considerations of AI could reduce failure and speed up the drug development process.This study examines AI approaches that affect clinical trial results, concentrating on multimodal learning and prediction tools for trial embedding trails.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Statistical Methods in Clinical Trials Machine Learning in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
10 February 2026
Language
EN