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  Published Paper Details:

  Paper Title

Innovative Solutions: AI-Enabled Medical Devices and Digital Twin Technology Shaping Future Healthcare

  Authors

  Rambabu Inaganti,  Sreekanth Yalavarthi

  Keywords

Digital Twin technology, AI-enabled medical devices,Precision healthcare, Predictive analytics in healthcare, Patient-centric care

  Abstract


The transformative impact of two cutting-edge technologies, AI-enabled medical devices and Digital Twin technology, in revolutionizing healthcare, have been explored in this paper. The dynamics inherent in these solutions were discussed trough the analysis of real-world case studies and a comprehensive review of relevant literature. Focus is on understanding their pivotal role in reshaping patient care paradigms. Artificial Intelligence (AI) empowers medical devices to break traditional boundaries, enhancing diagnostics and treatment strategies. Also, Digital Twins, creating virtual replicas, offer personalized and data-driven healthcare solutions. Thus,the collaboration of these advancements shows potential for a future focused on precise, personalized, and proactive patient care. This evolution is not only significant but essential in navigating complexities of modern healthcare, leading to a new era where innovation is synonymous with improved well-being

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2312501

  Paper ID - 248128

  Page Number(s) - e497-e506

  Pubished in - Volume 11 | Issue 12 | December 2023

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.37167

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rambabu Inaganti,  Sreekanth Yalavarthi,   "Innovative Solutions: AI-Enabled Medical Devices and Digital Twin Technology Shaping Future Healthcare", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 12, pp.e497-e506, December 2023, Available at :http://www.ijcrt.org/papers/IJCRT2312501.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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