Abstract
Robotically Assisted Surgical Systems (RASS) have been used in carrying out over 7 million surgical procedures, since their emergence in the 1970s (Klodmann et al., 2021). The use of the systems has eased the workload of medical practitioners, for example, the positions held by the robot arms during surgery, create opportunity for surgical assistants to focus on other tasks (Klodmann et al., 2021). More so, Robotic Assisted Surgery (RAS) is gradually gaining predominance globally (Peters et al., 2018). Its size, specialty, use and versatility have evolved over the years (Brodie & Vasdev, n.d.). The use of RAS has enhanced ergonomics, tissue magnification, precision, improved training and seamless workflow, thus reducing the need for human assistants during surgical operations (McLeod, Melder & Da Vinci, 2005; Moawad et al., 2020). However, the significance of its influence on patients’ wellbeing and clinical practices is still under study by researchers, and the adoption of RASS in healthcare practices is expected to grow exponentially in the next decade (Brodie & Vasdev, n.d.). The adoption of RAS in healthcare practices is quite expensive and it requires changes in behavioural pattern as regards to surgery, which can be complex and difficult. Therefore, it is advisable to get the required training on the usage and application, before adopting it in surgical practices (Atkins et al., 2017). This article assesses the pros and cons of RAS while looking at its concept, use, advantage and Hazards.
| Original language | English |
|---|---|
| Title of host publication | Advanced Manufacturing and Automation XIV: Conference proceedings |
| Editors | Yi Wang, Tao Yu, Kesheng Wang |
| Publisher | Springer |
| Pages | 403-408 |
| Number of pages | 6 |
| ISBN (Print) | 9789819626243 |
| DOIs | |
| Publication status | Published - 14 Feb 2025 |
| Event | Advanced Manufacturing and Automation XIV - Kunming Duration: 11 Oct 2024 → 12 Oct 2024 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 1364 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | Advanced Manufacturing and Automation XIV |
|---|---|
| City | Kunming |
| Period | 11/10/24 → 12/10/24 |
| Other | Advanced Manufacturing and Automation XIV (11/10/2024-12/10/2024, Kunming ) |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Digital medical services
- Health industry
- Robotics
- artificial intelligence
- Artificial Intelligence
- Information systems
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering
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