DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care

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Notice

nThis is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.n

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Year : 2025 [if 2224 equals=””]29/09/2025 at 2:32 PM[/if 2224] | [if 1553 equals=””] Volume : 14 [else] Volume : 14[/if 1553] | [if 424 equals=”Regular Issue”]Issue : [/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03 | Page :

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    Sohini Tandon, Mohammad Ehtesham, Mohd. Rizwan Khan, Mohammad Ehsan, Md. Yasir, Sunil, Sayeed Mohd. Ameen,

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  1. Student, Student, Student, Student, Student, Associate Professor, Student, Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), Department of Computer Engineering, Department of University Polytechnic, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), New Delhi, New Delhi, New Delhi, New Delhi, New Delhi, New Delhi, New Delhi, India, India, India, India, India, India, India

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Abstract

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nDr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete overview of patient information, Dr. Revive enables doctors to prioritise urgent cases, improving consultation efficiency. Beyond medical recommendations, Dr. Revive includes features such as health tracking, diagnostic test suggestions, prescription management, and continuous feedback mechanisms, ensuring precision and adaptability in patient care. By streamlining communication between patients and healthcare providers, the platform minimises miscommunication and fosters better coordination among hospitals, diagnostic labs, and blood banks. This integrated system enhances resource allocation, optimising medical workflows and boosting overall efficiency. By reducing administrative burdens and improving accessibility, Dr. Revive significantly shortens patient wait times and enhances healthcare delivery, particularly in regions with limited medical infrastructure. The paper explores the system’s design, functionality, and impact, highlighting its role in addressing critical healthcare challenges and advancing toward a more efficient, patient-focused, and technology-driven healthcare ecosystem.nn

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Keywords: Medical Recommendation System, Machine Learning (ML), Virtual Healthcare, Resource Optimization, AI-driven Healthcare.

n[if 424 equals=”Regular Issue”][This article belongs to Research and Reviews : A Journal of Medical Science and Technology ]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Research and Reviews : A Journal of Medical Science and Technology (rrjomst)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article:
nSohini Tandon, Mohammad Ehtesham, Mohd. Rizwan Khan, Mohammad Ehsan, Md. Yasir, Sunil, Sayeed Mohd. Ameen. [if 2584 equals=”][226 wpautop=0 striphtml=1][else]DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care[/if 2584]. Research and Reviews : A Journal of Medical Science and Technology. 29/09/2025; 14(03):-.

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nSohini Tandon, Mohammad Ehtesham, Mohd. Rizwan Khan, Mohammad Ehsan, Md. Yasir, Sunil, Sayeed Mohd. Ameen. [if 2584 equals=”][226 striphtml=1][else]DR. REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care[/if 2584]. Research and Reviews : A Journal of Medical Science and Technology. 29/09/2025; 14(03):-. Available from: https://journals.stmjournals.com/rrjomst/article=29/09/2025/view=0

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  1. Heydari M, Foroughi Z, Ghasab A, Koohpaei A, Hoseini M, Nouhi M. Medical education quality in the COVID-19 era: A policy brief on lessons learned and recommendations. Evid Based Health Policy Manag Econ. 2024;8(2):[page range]. doi:10.18502/jebhpme.v8i2.17180.
  2. Andrew J, Isravel DP, Sagayam KM, Bhushan B, Sei Y, Eunice J. Blockchain for healthcare systems: Architecture, security challenges, trends and future directions. J Netw Comput Appl. 2023;215:103633. doi:10.1016/j.jnca.2023.103633.
  3. Suhel S, Parwez S, Siddique S, Fatma N, Shadab M, Sunil. An online mobile-based doctor appointment booking application to enhance the acceptability of healthcare systems. In: Proc Natl Conf Res Adv Innov Comput Commun Inf Technol (RAICCIT 2023); 2023; JIS Univ, Agarpara, Kolkata, India.
  4. Avinash B, Joseph G. Reimagining healthcare supply chains: A systematic review on digital transformation with focus on efficiency, transparency and responsiveness. J Health Organ Manag. 2024;38(9):1255-79. doi:10.1108/JHOM-03-2024-0076.
  5. Mnsour E, Trust E. Applications of artificial intelligence towards sustainable healthcare systems: The next generation in patient care—AI-powered hospital beds. 2024;10:52-6.
  6. Esther D, Blake H. AI-powered decision support systems in medicine: A comprehensive analysis. 2024.
  7. Oladele O. AI-powered medical imaging: A comprehensive review of applications, benefits, and challenges. 2024.
  8. Fatma H, Ahmad M, Sunil. Analyzing the role of artificial intelligence in modern healthcare systems. In: Proc Natl Conf Res Adv Innov Comput Commun Inf Technol (RAICCIT 2023); 2023; JIS Univ, Agarpara, Kolkata, India.
  9. Akinyele D. Revolutionizing patient care and accessible healthcare delivery through AI-powered virtual assistants. 2024.
  10. Ghorashi N, Ismail A, Ghosh P, Sidawy A, Javan R. AI-powered chatbots in medical education: Potential applications and implications. Cureus. 2023;15:e43271. doi:10.7759/cureus.43271.
  11. Sunil, Ahmad M, Fatma H. Artificial intelligence in healthcare: Issues and challenges. In: Proc Int Conf Adv Comput (ICAC-2024); 2024; SRMS College of Eng & Tech, Bareilly, Uttar Pradesh, India.
  12. Kumar H, Parveen R, Adnan, Sunil. Trends and future research directions in intelligent healthcare recommendation systems: A review. In: Proc Natl Conf Res Adv Innov Comput Commun Inf Technol (RAICCIT 2023); 2023; JIS Univ, Agarpara, Kolkata, India.
  13. Alharbi O, Alhrbi B, Al-Rashidi A, Alzabni A, Harbi A, Alharbi A, Harbi A, Alhomiani A, Harbi Y, Alfuraydi F. Critical analysis of foundational challenges in modern healthcare systems. J Ecohumanism. 2024;3(8):[pages]. doi:10.62754/joe.v3i8.5084.
  14. Sunil, Fatma H, Ahmad M. Advancing accuracy with AI-driven approaches for automated detection and segmentation of brain tumours. Cuest Fisioter. 2025;54(3):2192-9. doi:10.48047/CU/54/03/2192-2199.
  15. Gorrepati L. Integrating AI with electronic health records (EHRs) to enhance patient care. Int J Health Sci. 2024;7(1):38-50. doi:10.47941/ijhs.2368.
  16. Amponin A, Britiller M. Electronic health records (EHRs): Effectiveness to healthcare outcomes and challenges of health practitioners in Saudi Arabia. Saudi J Nurs Health Care. 2023;6(4):123-35. doi:10.36348/sjnhc.2023.v06i04.002.
  17. Sunil, Fatma H, Ahmad M. Intelligent healthcare recommender system for advanced healthcare services. In: Proc 4th Int Conf ICT Digit Smart Sustain Dev (ICIDSSD-2024); 2024; Jamia Hamdard, New Delhi, India. ISBN:978-93-340-0613-1.
  18. Sunil, Fatma H, Ahmad M. Enhancing accuracy with AI-powered methods for automated detection and segmentation of brain tumours. Int J Emerg Technol Innov Res. 2025;12(1):g736-g742. ISSN:2349-5162.
  19. Fayaq M. Build hospital management system using PHP framework: HMS. Iraqi J Intell Comput Inform. 2023;2(2):101-12. doi:10.52940/ijici.v2i2.35.

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Volume 14
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 03
Received 30/06/2025
Accepted 11/08/2025
Published 29/09/2025
Retracted
Publication Time 91 Days

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