Aritifical Intelligence in Clinical Trials

Abstract: By improving the effectiveness, precision, and flexibility of clinical research procedures, artificial intelligence (AI) is quickly changing the clinical trial environment. AI provides creative answers to many of the conventional problems encountered in clinical trials, ranging from intelligent patient recruiting and protocol design to real-time data analysis and safety monitoring. Improved patient matching, quicker decision-making, and better trial results have all been made possible by recent developments in machine learning, natural language processing, and predictive analytics. Personalized treatment plans, decentralized trial models, and quicker drug development are all possible with the use of AI technology into clinical trials as they advance further. The main uses, current developments, and anticipated future developments of AI in clinical trials are highlighted in this paper, highlighting the technology's potential to transform clinical research and enhance patient care

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-15
DOI
https://doi.org/10.22214/ijraset.2025.68764
Primary Topic
Health and Medical Research Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Aritifical Intelligence in Clinical Trials

Mr. Chaitanya Sunil Kalbhor
International Journal for Research in Applied Science and Engineering Technology
Health and Medical Research Impacts
article

Aritifical Intelligence in Clinical Trials

Mr. Chaitanya Sunil Kalbhor
article en

Abstract

Abstract: By improving the effectiveness, precision, and flexibility of clinical research procedures, artificial intelligence (AI) is quickly changing the clinical trial environment. AI provides creative answers to many of the conventional problems encountered in clinical trials, ranging from intelligent patient recruiting and protocol design to real-time data analysis and safety monitoring. Improved patient matching, quicker decision-making, and better trial results have all been made possible by recent developments in machine learning, natural language processing, and predictive analytics. Personalized treatment plans, decentralized trial models, and quicker drug development are all possible with the use of AI technology into clinical trials as they advance further. The main uses, current developments, and anticipated future developments of AI in clinical trials are highlighted in this paper, highlighting the technology's potential to transform clinical research and enhance patient care

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 89%
Health and Medical Research Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.