International Journal on Science and Technology

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AI and Digital Twin Technology: Personalized Simulations for Improving Patient-Specific Treatment Plans

Author(s) Arunkumar Paramasivan
Country India
Abstract Artificial Intelligence (AI) combined with Digital Twin Technology (DTT) has been considered an innovative solution for changing the health systems approach, especially in developing patient-specific simulation for better treatment plans. The virtual models called the digital twins are copies of physical systems, where the health care providers can predict patients’, outcomes based on the real time data. This paper describes how AI and DTT are complementary technologies used in the healthcare environment together and with what difficulties. In this paper, we briefly discuss the current state of research on digital twins in general and their application in the field of precision medicine, together with the corresponding methodological frameworks; we also describe the results of the case study conducted for the first time. The findings indicate enhanced precision in matters relating to patients’ interactions, disease control, and treatment schedules.
Keywords Digital Twin, Artificial Intelligence, Personalized Medicine, Patient, Treatment.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 15, Issue 1, January-March 2024
Published On 2024-01-02
Cite This AI and Digital Twin Technology: Personalized Simulations for Improving Patient-Specific Treatment Plans - Arunkumar Paramasivan - IJSAT Volume 15, Issue 1, January-March 2024. DOI 10.5281/zenodo.14551618
DOI https://doi.org/10.5281/zenodo.14551618
Short DOI https://doi.org/g8wtdk
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