Newer Perspectives in Anesthesiology: A Philatelic Based Review
Main Article Content
Abstract
Over the past decade, the practice of anesthesiology had become inextricably dependent upon technology. Anesthetics were first discovered, then made increasingly safe, and now, more precise and efficient, all due to tremendous advances in monitoring and delivery technology. Telemedicine has revolutionized medicine and preoperative evaluations and teaching are being done via teleconference and zoom meetings. Patient monitoring has become noninvasive, and closed-loop anesthesia delivery systems are making anesthetic administration very precise and safe. Next-generation technology and innovations will eliminate human errors entirely.
Keywords:
Anesthesiology, precision medicine, artificial intelligence, closed loop technology
Article Details
How to Cite
KRISHNAMURTI, Chandrasekhar; MEHDI, Zohra; CHANDRASEKHAR, Vijayalakshmi.
Newer Perspectives in Anesthesiology: A Philatelic Based Review.
Medical Research Archives, [S.l.], v. 11, n. 6, june 2023.
ISSN 2375-1924.
Available at: <https://esmed.org/MRA/mra/article/view/3920>. Date accessed: 03 dec. 2024.
doi: https://doi.org/10.18103/mra.v11i6.3920.
Section
Review Articles
The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.
References
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2. Prielipp RC, Cohen NH. The future of anesthesiology: implications of the changing healthcare environment. Current Opinion in Anaesthesiology 2016; 29(2): 198-205
3. Ramsingh D, Yuriy S, Bronshteyn SH, Zimmerman J. Perioperative Point-of-Care Ultrasound: From Concept to Application. Anesthesiology 2020; 132: 908–916
4. Moore CL, Copel JA. Point-of-care ultrasonography. N Engl J Med 2011; 364: 749–57
5. Li L, Yong RJ, Kaye AD, Urman RD. Perioperative Point of Care Ultrasound (POCUS) for Anesthesiologists: an Overview. Curr Pain Headache Rep 2020 Mar 21;24(5):20
6. Heinz, E.R., Vincent, A. Point-of-Care Ultrasound for the Trauma Anesthesiologist. Curr Anesthesiol Rep 2022;12:217–225.
7. Kamdar N, Jalilian L. Telemedicine: A Digital Interface for Perioperative Anesthetic Care. Anesth Analg 2020;130(2):272-275
8. Jacob AK, Belch LM, Pai SL. Telehealth in Anesthesia. Adv Anesth 2021 39:259-268.
9. Schoen DC, Prater K. Role of Telehealth in Pre-anesthetic Evaluations. AANA J 2019;87(1):43-49
10. Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G. Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations. Anesthesiology 2020;132(2):379-394
11. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Divers 2021;25(3):1315-1360
12. Jiménez-Luna J, Grisoni F, Weskamp N, Schneider G. Artificial intelligence in drug discovery: recent advances and future perspectives. Expert Opin Drug Discov 2021;16(9):949-959
13. Jing Y, Bian Y, Hu Z, Wang L, Xie XQ. Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era. AAPS J 2018; 20(3):58.
14. Nag S, Baidya ATK, Mandal A, Mathew AT, Das B, Devi B, Kumar R. Deep learning tools for advancing drug discovery and development. 3 Biotech. 2022;12(5):110.
15. Swerdlow B, Soelberg J, Osborne-Smith L. Distance Education in Anesthesia Using Screen-Based Simulation – A Brief Integrative Review. Adv Med Educ Pract 2020;11:563-567
16. Bergmans E, Metelmann C, Metelmann B, Rübsam ML, von Au F, Thies KC. Technology-enhanced learning in anesthesiology and emergency medicine: A new approach to medical school teaching in the wake of the pandemic. Anaesthesiologie 2022;71(6):444-451.
17. Anderson BJ,Bagshaw O. Practicalities of total intravenous anesthesia and target controlled infusion in children. Anesthesiology 2019; 131(1):164-185
18. Wingert T, Lee C, Cannesson M. Machine Learning, Deep learning and Closed Loop Devices-Anesthesia Delivery. Anesthesiol Clin 2021;39(3):565-581
19. Bajwa SJS, Stalin V, Surekha S et al. Recent advancements in total intravenous an aesthesia and anaesthetic pharmacology. Indian Journal of Anaesthesia 2023; 67(1): 56-62
20. Booij Leo HDJ. Sex, age, and genetics in anesthesia. Current Opinion in Anaesthesiology 2008; 21(4): 462-466
21. Ashley EA, Butte AJ, Wheeler MT, et al. Clinical assessment incorporating a personal genome. Lancet 2010; 375:1525-1535.
22. Feero WG, Guttmacher AE, Collins FS. Genomic medicine—an updated primer. N Engl J Med 2010;362:2001-2011
23. Bridges KH, McSwain JR, Wilson PR. To Infinity and Beyond: The Past, Present, and Future of Tele-Anesthesia. Anesth Analg 2020 ;130(2):276-284.