Pediatric Robotic Surgery in South America: Advantages and Difficulties in Program Implementation

Challenges and opportunities in prostate cancer surgery in South America: Insights into robot-assisted radical prostatectomies-A perspective

Background and Aims

Prostate cancer imposes a significant health burden, particularly in South America with its high incidence and mortality rates. This article explores the emergence of robot-assisted radical prostatectomy (RARP) as a potential solution in the region.

Methods

This study relies on a comprehensive review of relevant literature. The analysis highlights the advantages of RARP, identifies impediments to its implementation, and proposes strategies to overcome these barriers.

Results

RARP demonstrates notable benefits, including improved functional outcomes, reduced complications, and minimized incisions. However, the integration of RARP in South America is hindered by challenges such as regional disparities, financial limitations, and data gaps. Limited healthcare infrastructure and a scarcity of skilled professionals further compound the issues.

Conclusion

Despite its potential, RARP faces obstacles to widespread adoption in South America. Strategic solutions encompassing technology investment, healthcare infrastructure enhancement, and workforce training are imperative. Overcoming these challenges can establish RARP as a crucial tool in managing prostate cancer in the region, ultimately enhancing patient care and treatment outcomes.

Robotic Surgery and Hospital Reimbursement

The field of plastic surgery remains at the forefront of technological and surgical innovation. However, the promising applications of robotics in plastic surgery must be thoughtfully balanced with hospital finances and reimbursements. Robotic systems have been studied extensively across multiple surgical disciplines and across diverse health care systems. The results show that there may be equal or better patient outcomes than alternatives. In an era where fiscal responsibility in health care is a top priority, thoughtful budgeting and spending must be considered and revisited frequently to attain sustainable organizational models that ensure appropriate use of robotic technology.

Robotic Surgery: A Comprehensive Review of the Literature and Current Trends

Robotic surgery (RS) is an evolution of minimally invasive surgery that combines medical science, robotics, and engineering. The first robots approved by the Food and Drug Administration (FDA) were the Da Vinci Surgical System and the ZEUS Robotic Surgical System, which have been improving over time. Through the decades, the equipment applied to RS had undergone a wide transformation as a response to the development of new techniques and facilities for the assembly and implementation of the own. RS has revolutionized the field of urology, enabling surgeons to perform complex procedures with greater precision and accuracy, and many other surgical specialties such as gynecology, general surgery, otolaryngology, cardiothoracic surgery, and neurosurgery. Several benefits, such as a better approach to the surgical site, a three-dimensional image that improves depth perception, and smaller scars, enhance range of motion, allowing the surgeon to conduct more complicated surgical operations, and reduced postoperative complications have made robotic-assisted surgery an increasingly popular approach. However, some points like the cost of surgical procedures, equipment-instrument, and maintenance are important aspects to consider. Machine learning will likely have a role to play in surgical training shortly through "automated performance metrics," where algorithms observe and "learn" individual surgeons' techniques, assess performance, and anticipate surgical outcomes with the potential to individualize surgical training and aid decision-making in real time.

Clinical application of robotic orthopedic surgery: a bibliometric study

Objectives

The present study aimed to evaluate the status and trends of robotic orthopedic surgery in a clinical setting using bibliometrics.

Methods

All relevant publications on the clinical use of robotic surgery in orthopedics were searched from the Web of Science database. Subsequently, data were analyzed using bibliometrics. Visualizing data of bibliographic coupling, co-citation, and co-occurrence analysis were performed using VOSviewer.

Results

In total, 224 clinical studies met the included standards between 2000 to 2019. Global publications presented an increasing annual trend, with the United States found to have the largest number of publications and robotic companies active in the field (n = 99), followed by China (n = 38), and the United Kingdom (n = 27). The institution with the most contributions was the Beijing Jishuitan Hospital in China (n = 15). The most productive scholars were Tian Wei and Mont Michael A, with 14 publications each. The top 30 most cited papers list showed 29 publications to be cited on more than 40 occassions. The journal with the most related and influential publications on robotic orthopedic surgery was the Journal of Arthroplasty. Fourteen types of robots were used, with the majority applied in knee and spinal surgery. MAKO was the most widely used robot in hip and knee surgery and Mazor in spinal surgery. Most studies were small sample populations of low-quality in this field. The top 20 most frequently used keywords were identified from 950 author keywords. Research on orthopedic robots were classified into two clusters by co-occurrence networks: spinal-related robotic surgery and joint-related robotic surgery.

Conclusions

The present bibliometric study summarizes the clinical research of orthopedic robots on study type, sample size, type of surgery, robot information, surgical site, most popular keywords, most cited papers, journals, authors, institutions, and countries. These findings may assist the scholars better understand the current status and research trends to guide future practice and directions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12891-021-04714-7.