This review explores the transformative potential of Artificial Intelligence (AI) in reshaping clinical trial methodologies, focusing on cardiovascular and oncological applications. Drawing insights from oncology, the article by C K, KW J, WW T (2019) delves into how AI could redefine clinical trials in cardiovascular medicine. Shifting the paradigm towards personalized medicine, the study highlights lessons learned and prospects for AI integration in cardiovascular research. The article by H, P S, A B, J H (2019) examines the role of AI in clinical trial design, emphasizing trends in pharmacological sciences. The review underscores the evolving landscape of AI applications, emphasizing its impact on optimizing trial design processes. Delso et al. (2021) present a comprehensive guide on designing AI-driven clinical trials in Nuclear Medicine. The article addresses key considerations for implementing AI in this specialized field, offering insights into future directions and challenges.
Artificial Intelligence, Clinical Trials, Cardiovascular Medicine, Oncology, Pharmacological Sciences, Nuclear Medicine, Personalized Medicine, Trial Design Optimization, Lessons Learned, Trends, Challenges
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