Role of Surgical Robots

Role of Surgical Robots surgical robots have emerged as groundbreaking tools capable of executing various medical procedures. Davies (2015) highlights their versatility and applicability in various surgical domains, including minimally invasive procedures (such as laparoscopic and roboticassisted surgeries), cardiac interventions, neurosurgical operations, and orthopedic surgeries. The technology employs a combination of robotic arms, advanced cameras, and specialized instruments, functioning in synergy with the surgeon's expertise to undertake intricate procedures (p. 1). A significant advantage of surgical robots is their remarkable precision and accuracy.

According to Mayor et al. (2022), these robotic systems execute movements with submillimeter precision, a level of finesse that surpasses human capabilities.

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Nevertheless, the application and the usability of surgical robots are challenged by multiple factors, including the need for trained skills to monitor and operate the robots, a unique programming language that may introduce bias and a language barrier in the healthcare practician, the high costs of acquisition and maintenance of surgical robots further widening the equity gap between the economically privileged and propel who can barely pay for the surgical robots services. The presenting problems limiting the efficiency of surgical robots can be solved

by adopting standardized surgical robot platforms and training, implementing user-friendly interfaces and control systems, and utilizing ethical and bias-mitigating programming languages.

Significant challenges in adopting and using surgical robots and who is at the most significant harm.

The high costs of surgical robots are the most significant challenge limiting accessibility.

Whereas the costs of surgical robots are not static and vary depending on various factors such as brand, specific surgical applications, and level of support needs, the technology remains one of the most costly aspects of modern healthcare. For instance, the Da Vinci SRGICLA Systems b initial costs range from $1.5 million to $2.5 million. This is in addition to ongoing maintenance, accessory, and support costs. The high costs of surgical robots limit their accessibility and affordability to the patient populations, compromising the initial motive of enhancing the quality and efficiency of care. Healthcare providers are also adversely affected by the high costs of care due to the significant start-up capital. Yet, the technological framework lays a substantial basis for competitiveness in healthcare technology.

The need for trained professionals to support the surgical robust is also a potential challenge likely to affect patients negatively. Ideally, surgical robots are dynamic and keep evolving, implying the need for ongoing learning and training. Yet, the movement is also capital and time-intensive, reducing organizational productive time. Medical service providers must strike a balance between skills and profits, as inadequate skills are likely to bring about medical errors, which would have adverse implications for both the patient and the provider.

The challenge of programming language can also be noticed in discoursing efficiency of surgical robots. Surgical robots are controlled and automated using unique programming

languages. () emphasizes that the choice of a programming language plays a crucial role in enhancing a surgical robot's safety, functionality, and ethical basis. For instance, low-level nonlanguages enable precise movements and manipulations of robotic arms, effective user intercave, and effective data processing. Nevertheless, the potential for bias in a programming language is an issue that would compromise the efficiency of robots. For e example, supposing the algorithms used in the robots are trained based on representative data, disparities in the treatment processes are likely. The biased algorithm is also likely to increase differences in patient care and lead to decisions that are not representable to the healthcare population. Other potential problems with biased algorithms include challenges determining accountability and transparency and changes in data interoperability. Integrating surgical robots with other medical technologies would make it challenging.

Recommendations to solve the problems As aforementioned, the identified problems can be solved using an interplay of factors, including standardization of surgical robot platforms. Such standardization would encourage the establishment of open-source standard robots in standard language that can be easily integrated into the___14 industrial context. The c challenges due to costs and training can also be solved by promoting established training programs for robotic surgery. The programs should be standardized to be widely affordable and accessible to interested healthcare professionals. The subsidies also happen on surgical robots' costs to make the theme relatively easier and affordable.

Implementing a user-friendly control system to reduce the need for specialist training.

The control systems would enhance the surgical robots' simplicity and provide real-time feedback, laying the basis for further technology development. Implementing augmented reality (

AR) and Virtual Reality (VR) would also help solve the challenges associated with specialists' skills to operate surgical robots. () the technologies provide medical practitioners with enhanced and interactive learning experiences, facilitating the transition from theoretical learning to practical experiences.

The potential problem of bias from the programming language can be mitigated by utilizing representative programming language with minimal risk of bias and unethical practices such as promoting disparities. Multiple strategies can be implemented to curtail the issue, including implementing diverse and representee data during the development and training of the robots, regularly updating the robots to ensure they match the patient diversity, and regular audits and assessments to identify any incidence of bias and unethical implications.

Conclusion While it is true that surgical roots have revolutionized the healthcare industry by enhancing precise and accuracy, issues such as the high costs of acre, the need for specialists' support, and potential bias during programming and training of the robots limit their efficiency in enhancing the quality of care and overall sustainability. This explains the need for human oversight during robot-assisted procedures and interdisciplinary collaboration during the robots' design, programming, and testing. Of more importance is the continuous improvement of the technology to integrate changing demographic trends, industrial trends, and consumer needs and preferences. No doubt, Mitigating potential bias and fostering equity when using surgical robots require an ongoing dedication and commitment to fairness, inclusivity, and quality and sustainable healthcare.