The Use of AI in Enhancing Medical Research

Artificial Intelligence (AI) has revolutionized various industries, and its integration into medical research is no exception. AI has become instrumental in fields like drug discovery, diagnostics, medical imaging, and predictive analytics, accelerating the pace of scientific breakthroughs. This paper examines the diverse applications of AI in medical research, highlighting its contributions to drug development, patient monitoring, and the analysis of complex biological data. Despite its potential, AI faces significant challenges, including the availability of high-quality datasets, the interpretability of AI models, and ethical concerns regarding data privacy and equity. The future of AI in medical research offers vast opportunities, but careful consideration is required to address these challenges and fully unlock its potential for improving healthcare outcomes. Keywords: Artificial Intelligence, Medical Research, Drug Discovery, Diagnostics, Medical Imaging.

Authors

Publication Details

Journal
Research Invention Journal of Scientific and Experimental Sciences
Published
2024-09-08
DOI
https://doi.org/10.59298/rijses/2024/4158
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

The Use of AI in Enhancing Medical Research

Jumba K. Kato
Research Invention Journal of Scientific and Experimental Sciences
Artificial Intelligence in Healthcare and Education
article

The Use of AI in Enhancing Medical Research

Jumba K. Kato
article en

Abstract

Artificial Intelligence (AI) has revolutionized various industries, and its integration into medical research is no exception. AI has become instrumental in fields like drug discovery, diagnostics, medical imaging, and predictive analytics, accelerating the pace of scientific breakthroughs. This paper examines the diverse applications of AI in medical research, highlighting its contributions to drug development, patient monitoring, and the analysis of complex biological data. Despite its potential, AI faces significant challenges, including the availability of high-quality datasets, the interpretability of AI models, and ethical concerns regarding data privacy and equity. The future of AI in medical research offers vast opportunities, but careful consideration is required to address these challenges and fully unlock its potential for improving healthcare outcomes. Keywords: Artificial Intelligence, Medical Research, Drug Discovery, Diagnostics, Medical Imaging.

Research Invention Journal of Scientific and Experimental SciencesVol. 4(1)
Openalex Percentile: Top 87%
Artificial Intelligence in Healthcare and Education
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