Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research

Zomana Majid; Md Shahidul Islam

doi:doi:10.11648/j.ajai.20250901.17

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Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research

Zomana Majid

, Md Shahidul Islam^*

Published in American Journal of Artificial Intelligence (Volume 9, Issue 1)

Received: 5 April 2025 Accepted: 27 April 2025 Published: 26 June 2025

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Abstract

Medicine is quickly transitioning as artificial intelligence (AI) adopts the new and improved type of machine learning for better diagnosis and treatment of diseases in the various sub-specialties of practice. The enhancement of computation rate raises the potential of AI algorithms and their value for multiple domains like radiology, where some experts suppose that AI can replace radiologists. These questions are essential when determining whether specific AI applications will eventually replace doctors or only assist them in their work within specific medical specialties. This paper ponders the iridescent role of AI in clinical trials and how its drug invention process will result from innovative learning in the future. The technology engages the role of AI in clinical decision support, the latest developments in precision medicine, and the prediction of drug properties and active ingredients. The paper showcases AI contributions to remodeling clinical trial designs and model exchange and using AI to carry out the intervention. Among other things, it speaks about AI in the acquisition of the EHR, in the course of authorization of the trial, and in addressing some of the significant challenges such as data availability and perpetual vigilance. In addition, a few discussions concerning clinical AI algorithm errors and the defects of conventional trial procedures are also incorporated at the end of the paper to portray the role of AI in present clinical research more sharply.

Published in	American Journal of Artificial Intelligence (Volume 9, Issue 1)
DOI	10.11648/j.ajai.20250901.17
Page(s)	68-79
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

AI, Radiology, Technology, Clinical Trial, Clinical AI Algorithm

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APA Style

Majid, Z., Islam, M. S. (2025). Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. American Journal of Artificial Intelligence, 9(1), 68-79. https://doi.org/10.11648/j.ajai.20250901.17

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ACS Style

Majid, Z.; Islam, M. S. Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. Am. J. Artif. Intell. 2025, 9(1), 68-79. doi: 10.11648/j.ajai.20250901.17

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AMA Style

Majid Z, Islam MS. Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. Am J Artif Intell. 2025;9(1):68-79. doi: 10.11648/j.ajai.20250901.17

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@article{10.11648/j.ajai.20250901.17,
  author = {Zomana Majid and Md Shahidul Islam},
  title = {Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research},
  journal = {American Journal of Artificial Intelligence},
  volume = {9},
  number = {1},
  pages = {68-79},
  doi = {10.11648/j.ajai.20250901.17},
  url = {https://doi.org/10.11648/j.ajai.20250901.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250901.17},
  abstract = {Medicine is quickly transitioning as artificial intelligence (AI) adopts the new and improved type of machine learning for better diagnosis and treatment of diseases in the various sub-specialties of practice. The enhancement of computation rate raises the potential of AI algorithms and their value for multiple domains like radiology, where some experts suppose that AI can replace radiologists. These questions are essential when determining whether specific AI applications will eventually replace doctors or only assist them in their work within specific medical specialties. This paper ponders the iridescent role of AI in clinical trials and how its drug invention process will result from innovative learning in the future. The technology engages the role of AI in clinical decision support, the latest developments in precision medicine, and the prediction of drug properties and active ingredients. The paper showcases AI contributions to remodeling clinical trial designs and model exchange and using AI to carry out the intervention. Among other things, it speaks about AI in the acquisition of the EHR, in the course of authorization of the trial, and in addressing some of the significant challenges such as data availability and perpetual vigilance. In addition, a few discussions concerning clinical AI algorithm errors and the defects of conventional trial procedures are also incorporated at the end of the paper to portray the role of AI in present clinical research more sharply.},
 year = {2025}
}

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TY  - JOUR
T1  - Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research
AU  - Zomana Majid
AU  - Md Shahidul Islam
Y1  - 2025/06/26
PY  - 2025
N1  - https://doi.org/10.11648/j.ajai.20250901.17
DO  - 10.11648/j.ajai.20250901.17
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 68
EP  - 79
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20250901.17
AB  - Medicine is quickly transitioning as artificial intelligence (AI) adopts the new and improved type of machine learning for better diagnosis and treatment of diseases in the various sub-specialties of practice. The enhancement of computation rate raises the potential of AI algorithms and their value for multiple domains like radiology, where some experts suppose that AI can replace radiologists. These questions are essential when determining whether specific AI applications will eventually replace doctors or only assist them in their work within specific medical specialties. This paper ponders the iridescent role of AI in clinical trials and how its drug invention process will result from innovative learning in the future. The technology engages the role of AI in clinical decision support, the latest developments in precision medicine, and the prediction of drug properties and active ingredients. The paper showcases AI contributions to remodeling clinical trial designs and model exchange and using AI to carry out the intervention. Among other things, it speaks about AI in the acquisition of the EHR, in the course of authorization of the trial, and in addressing some of the significant challenges such as data availability and perpetual vigilance. In addition, a few discussions concerning clinical AI algorithm errors and the defects of conventional trial procedures are also incorporated at the end of the paper to portray the role of AI in present clinical research more sharply.
VL  - 9
IS  - 1
ER  -

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Author Information

Zomana Majid

Department of Electric and Computer Engineering, Boston University, Boston, USA

Contact Email

http://orcid.org/0009-0001-5727-4534
Md Shahidul Islam

Department of Mathematics, University of Dhaka, Dhaka, Bangladesh; Pirojpur Science and Technology University, Pirojpur, Bangladesh

Contact Email

http://orcid.org/0000-0003-4712-4046

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Plain Text BibTeX RIS

APA Style

Majid, Z., Islam, M. S. (2025). Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. American Journal of Artificial Intelligence, 9(1), 68-79. https://doi.org/10.11648/j.ajai.20250901.17

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ACS Style

Majid, Z.; Islam, M. S. Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. Am. J. Artif. Intell. 2025, 9(1), 68-79. doi: 10.11648/j.ajai.20250901.17

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AMA Style

Majid Z, Islam MS. Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research. Am J Artif Intell. 2025;9(1):68-79. doi: 10.11648/j.ajai.20250901.17

Copy | Download

@article{10.11648/j.ajai.20250901.17,
  author = {Zomana Majid and Md Shahidul Islam},
  title = {Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research},
  journal = {American Journal of Artificial Intelligence},
  volume = {9},
  number = {1},
  pages = {68-79},
  doi = {10.11648/j.ajai.20250901.17},
  url = {https://doi.org/10.11648/j.ajai.20250901.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20250901.17},
  abstract = {Medicine is quickly transitioning as artificial intelligence (AI) adopts the new and improved type of machine learning for better diagnosis and treatment of diseases in the various sub-specialties of practice. The enhancement of computation rate raises the potential of AI algorithms and their value for multiple domains like radiology, where some experts suppose that AI can replace radiologists. These questions are essential when determining whether specific AI applications will eventually replace doctors or only assist them in their work within specific medical specialties. This paper ponders the iridescent role of AI in clinical trials and how its drug invention process will result from innovative learning in the future. The technology engages the role of AI in clinical decision support, the latest developments in precision medicine, and the prediction of drug properties and active ingredients. The paper showcases AI contributions to remodeling clinical trial designs and model exchange and using AI to carry out the intervention. Among other things, it speaks about AI in the acquisition of the EHR, in the course of authorization of the trial, and in addressing some of the significant challenges such as data availability and perpetual vigilance. In addition, a few discussions concerning clinical AI algorithm errors and the defects of conventional trial procedures are also incorporated at the end of the paper to portray the role of AI in present clinical research more sharply.},
 year = {2025}
}

Copy | Download

TY  - JOUR
T1  - Clinical Research and Artificial Intelligence: How AI Is Changing Clinical Research
AU  - Zomana Majid
AU  - Md Shahidul Islam
Y1  - 2025/06/26
PY  - 2025
N1  - https://doi.org/10.11648/j.ajai.20250901.17
DO  - 10.11648/j.ajai.20250901.17
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 68
EP  - 79
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20250901.17
AB  - Medicine is quickly transitioning as artificial intelligence (AI) adopts the new and improved type of machine learning for better diagnosis and treatment of diseases in the various sub-specialties of practice. The enhancement of computation rate raises the potential of AI algorithms and their value for multiple domains like radiology, where some experts suppose that AI can replace radiologists. These questions are essential when determining whether specific AI applications will eventually replace doctors or only assist them in their work within specific medical specialties. This paper ponders the iridescent role of AI in clinical trials and how its drug invention process will result from innovative learning in the future. The technology engages the role of AI in clinical decision support, the latest developments in precision medicine, and the prediction of drug properties and active ingredients. The paper showcases AI contributions to remodeling clinical trial designs and model exchange and using AI to carry out the intervention. Among other things, it speaks about AI in the acquisition of the EHR, in the course of authorization of the trial, and in addressing some of the significant challenges such as data availability and perpetual vigilance. In addition, a few discussions concerning clinical AI algorithm errors and the defects of conventional trial procedures are also incorporated at the end of the paper to portray the role of AI in present clinical research more sharply.
VL  - 9
IS  - 1
ER  -

Copy | Download