Bio-Signal and Generative AI

Authors

  • Priyank Jayantilal Rathod Intel Corporation Folsom, CA, USA Author

DOI:

https://doi.org/10.47363/yfbcaq54

Keywords:

Bio-Signals, Generative Artificial Intelligence, GAI, Body-Sensor-Network, ECG

Abstract

Since the pandemic, a tremendous amount of research has been conducted on the bio signals and detection of any symptoms early on. Catching symptoms early using the bio-signals would enable early detection, preventive care in some cases, and the potential to create a cure plan for the individual. There are many ways in which the bio-signals can be detected and processed meaningfully. These data would help the individual and be used to train the biosignal-based models. Having these models generate large amounts of data trained on this dataset would enable the detection, diagnosis, and preventive cure more efficiently than ever. 

Author Biography

  • Priyank Jayantilal Rathod, Intel Corporation Folsom, CA, USA

    Priyank Jayantilal Rathod, Intel Corporation Folsom, CA, USA.

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Published

2023-10-23

How to Cite

Bio-Signal and Generative AI. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(4), 1-3. https://doi.org/10.47363/yfbcaq54

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