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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Reimagining Healthcare service with Generative AI: A Personalized Diagnosis and Treatment with Technology |
| Authors Name: | Subasree S , Aishwariya Lakshmi.M , Samiksha.P |
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IJNRD_220100
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| Published Paper Id: | IJNRD2404900 |
| Published In: | Volume 9 Issue 4, April-2024 |
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| Abstract: | This paper resides in the domain of Health Tech or Healthcare Technology, which involves the application of technology to enhance healthcare services, improve diagnostics, treatment, and overall patient care. This initiative focuses on leveraging Generative AI within the healthcare sector to personalize diagnosis and treatment. It uses the AI algorithms to process large volumes of unstructured medical data, predict disease progression, and create patient-specific treatment plans. Additionally, it aims to enhance the telemedicine experience by integrating AI-driven solutions into remote healthcare services. This domain combines expertise from healthcare professionals, data scientists, AI specialists, and software engineers to develop innovative solutions that improve healthcare accessibility, accuracy, and efficiency through technological advancements. Here the generative AI is used to scan the reports of patient details and lead to technical advancements. It gives the report summary to the AI bot that executes the treatments and diagnosis process. The advent of Generative AI in healthcare heralds a new era of precision medicine, where technology transcends traditional boundaries to offer tailor-made healthcare solutions. This innovative approach, nestled at the heart of the Health Tech, harnesses the power of advanced algorithms to dissect and interpret the complex tapestry of unstructured medical data. The fusion of expertise from diverse fields creates a crucible for innovation, where healthcare professionals, data maestros, AI architects, and digital craftsmen converge to forge tools of healing that are as effective as they are empathetic. This is where technology breathes life into data, transforming numbers and notes into a harmonious melody of health and well-being. Generative AI doesn’t just scan reports, it listens to the silent whispers of data, translating them into actionable insights that power the engines of diagnosis and treatment. It’s the diligent scribe that summarizes a patient’s journey, the astute analyst that foresees the path ahead, and the skilled artisan that sculpts the future of healthcare with the chisel of innovation. In this reimagined healthcare landscape, every patient detail is a brushstroke on the canvas of care, and Generative AI is the artist that renders each portrait with precision, passion, and a profound understanding of the human condition. |
| Keywords: | Healthcare, Generative AI, Health Tech, AI bot, Personalized diagnosis, AI algorithms, Remote healthcare services, empathetic technology. |
| Cite Article: | "Reimagining Healthcare service with Generative AI: A Personalized Diagnosis and Treatment with Technology", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.i916-i931, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404900.pdf |
| Downloads: | 00021 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2404900 Registration ID: 220100 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: i916-i931 Country: Puducherry, Puducherry, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404900 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404900 |
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ISSN: 2456-4184
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