Author(s):
Priyanka S. Pagar, Kaveri S. Gholap, Khemchand R. Surana, Sunil K. Mahajan, Deepak D. Sonawane
Email(s):
priyapagar2844@gmail.com
DOI:
10.52711/2349-2988.2025.00026 
Address:
Priyanka S. Pagar, Kaveri S. Gholap, Khemchand R. Surana, Sunil K. Mahajan, Deepak D. Sonawane
Department of Pharmaceutical Quality Assurance, SSS’s Divine College of Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India – 423301.
Department of Pharmaceutical Chemistry, SSS’s Divine College of Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India – 423301.
Department of Pharmaceutics, SSS’s Divine College of Pharmacy, Nampur Road, Satana, Nashik, Maharashtra, India – 423301.
*Corresponding Author
Published In:
Volume - 17,
Issue - 2,
Year - 2025
ABSTRACT:
Medical technology is advanced and modern field in healthcare sector. The technology for the people wellbeing and cars or treat disease by modern technology. Due to this advancement in medical field or medical technology there is increase in effectiveness and quality of medical services provide to people. The objective of this modern technology is to providing all healthcare related services to population in effective way is in the form of treating disease, diagnosis, medicine development etc. Advancement in medical technology is not only for treating or curing disease but also for the research and development in the field of new medicine. Within the next 10 years, physicians and surgeons will be chosen, trained, certified, remedied, and recredentialed using simulation, virtual reality, and Web-based electronic learning, according to the Stanford Centre for Advanced Technology in Surgery.
Cite this article:
Priyanka S. Pagar, Kaveri S. Gholap, Khemchand R. Surana, Sunil K. Mahajan, Deepak D. Sonawane. A Review on Future of Medical Technology. Research Journal of Science and Technology. 2025; 17(2):183-9. doi: 10.52711/2349-2988.2025.00026
Cite(Electronic):
Priyanka S. Pagar, Kaveri S. Gholap, Khemchand R. Surana, Sunil K. Mahajan, Deepak D. Sonawane. A Review on Future of Medical Technology. Research Journal of Science and Technology. 2025; 17(2):183-9. doi: 10.52711/2349-2988.2025.00026 Available on: https://rjstonline.com/AbstractView.aspx?PID=2025-17-2-13
REFERENCE:
1. Wilkowska, W. and Ziefle, M., 2011. User diversity as a challenge for the integration of medical technology into future smart home environments. In Human-Centered Design of E-Health Technologies: Concepts, Methods and Applications IGI Global (pp. 95-126).
2. Sorenson, C., Drummond, M. and Bhuiyan Khan, B., 2013. Medical technology as a key driver of rising health expenditure: disentangling the relationship. Clinico Economics and Outcomes Research, pp.223-234.
3. Vergouw B, Nagel H, Bondt G, Custers B. Drone technology: Types, payloads, applications, frequency spectrum issues and future developments. The future of drone use: Opportunities and threats from ethical and legal Perspectives. 2016: 21-45
4. Declich S, Carter AO. Public health surveillance: historical origins, methods and evaluation. Bulletin of the World Health Organization. 1994; 72(2): 285.
5. Thacker SB, Berkelman RL. Public health surveillance in the United States. Epidemiologic Reviews. 1988; Jan 1; 10(1): 164-90.
6. Ali Mansoori G, Bastami TR, Ahmadpour A, Eshaghi Z. Environmental application of nanotechnology. Annual Review of Nano Research. 2008:439-93.
7. Navalakhe RM, Nandedkar TD. Application of Nanotechnology in Biomedicine.
8. Gungor-Ozkerim PS, Inci I, Zhang YS, Khademhosseini A, Dokmeci MR. Bioinks for 3D bioprinting: an overview. Biomaterials Science. 2018; 6(5): 915-46.
9. AI2 W.I., 2018. Artificial intelligence (AI) in Healthcare and Research. Nuffield Council on Bioethics, pp.1-8.
10. Shaheen, M.Y., 2021. Applications of Artificial Intelligence (AI) in healthcare: A review. Science Open Preprints.
11. AI2 W.I., 2018. Artificial intelligence (AI) in healthcare and research. Nuffield Council on Bioethics, pp.1-8.
12. Shaheen, M.Y., 2021. Applications of Artificial Intelligence (AI) in healthcare: A review. Science Open Preprints.
13. Noyes, A.P., 1934. Modern clinical psychiatry.
14. Wang, S. and Summers, R.M., 2012. Machine learning and radiology. Medical image analysis, 16(5), pp.933-951.
15. Wootton, R., 2001. Telemedicine. BMJ. 323(7312), pp.557-560.
16. Pangalos, G., Sfyroeras, V. and Pagkalos, I., 2014. E–prescription as a tool for improving services and the financial viability of healthcare systems: the case of the Greek national e–prescription system. International journal of electronic healthcare, 7(4), pp.301-314.
17. VISHNU, S.; RAMSON, SR Jino; JEGAN, R. Internet of medical things (IoMT)-An overview. In: 2020 5th International Conference on Devices, Circuits and Systems (ICDCS). IEEE, 2020. p. 101-104.
18. WOOTTON, Richard. Telemedicine. Bmj, 2001, 323.7312: 557-560.
19. PAWASSAR, Christian Matthias; TIBERIUS, Victor. Virtual reality in health care: bibliometric analysis. JMIR Serious Games, 2021, 9.4: e32721.
20. Olson, J. E., Bielinski, S. J., Ryu, E., Winkler, E. M., Takahashi, P. Y., Pathak, J., and Cerhan, J. R. Biobanks and personalized medicine. Clinical Genetics. 2014; 86(1): 50-55.
21. Heinzelmann, Paul J.; Lugn, Nancy E.; Kvedar, Joseph C. Telemedicine in the future. Journal of Telemedicine and Telecare, 2005; 11(8): 384-390.
22. Emerich, Dwaine F.; Thanos, Christopher G. Nanotechnology and Medicine. Expert Opinion on Biological Therapy, 2003; 3(4): 655-663.
23. JOYIA, Gulraiz J., et al. Internet of medical things (IoMT): Applications, benefits and future challenges in healthcare domain. J. Commun., 2017; 12.4: 240-247.
24. Sundaramurthi, Dhakshinamoorthy; Rauf, Sakandar; Hauser, Charlotte. 3D Bioprinting Technology for Regenerative Medicine Applications. 2016.
25. Babre, Deven. Medical Coding in Clinical Trials. Perspectives in Clinical Research. 2010; 1(1): 29-32.
26. Aalseth, P. Medical Coding: What it is and how it Works. Jones & Bartlett Publishers. 2014
27. Briganti, Giovanni; LE Moine, Olivier. Artificial intelligence in medicine: today and tomorrow. Frontiers in Medicine, 2020; 7: 509744.
28. Guo, J., and Li, B. The application of medical artificial intelligence technology in rural areas of developing countries. Health Equity. 2018; 2(1): 174-181
29. Noyes, A. P. (1934). Modern Clinical Psychiatry.
30. Wang, S., and Summers, R. M. Machine Learning and Radiology. Medical Image Analysis. 2012; 16(5): 933-951.
31. Brant, William E., and Clyde A. Helms, eds. Fundamentals of Diagnostic Radiology. 2012.
32. Mohapatra, D. P., Mohapatra, M. M., Chittoria, R. K., Friji, M. T., and Kumar, S. D. The scope of mobile devices in health care and medical education. International Journal of Advanced Medical and Health Research. 2015; 2(1): 3-8.