Do People Trust in Robot-Assisted Surgery? Evidence from Europe

Paranoid About Androids: A Review of Robotics in Radiology

In tandem with the ever-increasing global population, the demand for diagnostic radiology service provision is on the rise and at a disproportionate rate compared to the number of radiologists available to practice. The current "revolution in robotics" promises to alleviate personnel shortages in many sectors of industry, including medicine. Despite negative depictions of robots in popular culture, their multiple potential benefits cannot be overlooked, in particular when it comes to health service provision. The type of robots used for interventional procedures are largely robotic-assistance devices, such as the Da Vinci surgical robot. Advances have also been made with regards to robots for image-guided percutaneous needle placement, which have demonstrated superior accuracy compared to manual methods. It is likely that artificial intelligence will come to play a key role in the field of robotics and will result in an increase in the levels of robotic autonomy attainable. However, this concept is not without ethical and legal considerations, most notably who is responsible should an error occur; the physician, the robot manufacturer, software engineers, or the robot itself? Efforts have been made to legislate in order to protect against the potentially harmful effects of unexplainable "black-box" decision outputs of artificial intelligence systems. In order to be accepted by patients, studies have shown that the perceived level of trustworthiness and predictability of robots is crucial. Ultimately, effective, widespread implementation of medical robotic systems will be contingent on developers remaining cognizant of factors that increase human acceptance, as well as ensuring compliance with regulations.

The general public's perception of robotic surgery - A scoping review

INTRODUCTION

Robotic surgery is typically characterized by the telemanipulation of robotic arms controlled by a surgeon via a command system. Medical technology advancements have caused variations in how robotic surgery is conceptualised. It is important to ascertain the public's perception of robotic surgery, as this impacts decision making.

METHODS

A study protocol was developed in accordance with the PRISMA guidelines. All original research articles, abstracts, conference proceedings or grey literature were eligible. The Medline (Pubmed), Scopus, and Cochrane Databases, Google Scholar, white and green statement papers, and international guidelines were searched. A preliminary search identified key terms. Title and abstract screening was conducted. Full texts were appraised for eligibility. An inductive extraction process was utilized, grouping data into themes by content analysis, and developing a coding framework. Heterogeneity limited pooling of data and prevented aggregated data analysis. Therefore, NVivo software was used to augment this qualitative process and develop a meta-synthesis.

RESULTS

The search yielded 8818 articles across the bibliographic databases. After inclusion of the grey literature 132 full text manuscripts were assessed. 35 of which were included. Three main themes were identified from the coding framework: understanding of robotic surgery, acceptance of robotic surgery, and perceptions of robotic surgery. Micro-construct subthemes included 'understanding of robotic autonomy, surgeon role, and outcomes', 'determinants of understanding', 'sources of information', 'intention to use', and 'determinants of acceptance'. Robotic surgery is perceived as a risky modality by the general public. They have a limited understanding of this surgical approach and the extent of autonomy a robotic system has. Sex, age, and residence are important factors effecting the degree of understanding and intention to undergo robotic surgery.

CONCLUSION

Robotic surgery is perceived as a risky procedure by the general public. They have limited understanding of the modality, and low rates of acceptance to undergo it fearing greater complications.

A Systematic Review of Current Practices, Challenges, and Future Directions for the Use of Robotic Surgery in Otolaryngology in Greece

Robotic surgery is increasingly used in otolaryngology (ENT), particularly for complex head and neck procedures. It offers various advantages, including limited postoperative pain, excellent aesthetic results, better visualization in the surgical field, enhanced dexterity due to movement adjustment by the robotic system, and minimal complications and hospital stay. However, robotic systems' higher cost and limited availability are a burden for clinical applications. This systematic review is a detailed assessment that looks at the existing situation, problems, and prospects for robotic ENT surgery in Greece. It is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. The included studies were chosen based on specific criteria after a thorough inspection of electronic databases of clinical trials and medical journals (PubMed, Scopus, Web of Science). Despite steady adoption, Greece needs to catch up with other European countries in deploying robotic surgery technology. Various possible reasons may cause the small number of ENT robotic-assisted surgeries, including the high cost and the availability of robotic systems, mainly in large private or public hospitals in the main cities of Greece (Athens and Thessaloniki). Training on robotic systems is also very limited for surgery residents and young surgeons, while the learning curve of robotic-assisted surgeries in ENT is big. Peer-reviewed literature was analyzed to compare it with other European nations and investigate the economic, training, and geographic aspects that may be a burden for the rise of robotic surgery in Greece. Through the review scope, this study also provided recommendations concerning the implementation of robotic surgery in daily practice among surgeons in Greece and the difficulties that may arise regarding robotic surgery training in resource-limited countries.

The IDEAL framework for surgical robotics: development, comparative evaluation and long-term monitoring

The next generation of surgical robotics is poised to disrupt healthcare systems worldwide, requiring new frameworks for evaluation. However, evaluation during a surgical robot's development is challenging due to their complex evolving nature, potential for wider system disruption and integration with complementary technologies like artificial intelligence. Comparative clinical studies require attention to intervention context, learning curves and standardized outcomes. Long-term monitoring needs to transition toward collaborative, transparent and inclusive consortiums for real-world data collection. Here, the Idea, Development, Exploration, Assessment and Long-term monitoring (IDEAL) Robotics Colloquium proposes recommendations for evaluation during development, comparative study and clinical monitoring of surgical robots-providing practical recommendations for developers, clinicians, patients and healthcare systems. Multiple perspectives are considered, including economics, surgical training, human factors, ethics, patient perspectives and sustainability. Further work is needed on standardized metrics, health economic assessment models and global applicability of recommendations.

Robotic assisted surgery in the United Arab Emirates: healthcare experts' perceptions

The adoption of Robotic Assisted Surgery (RAS) has grown around the world. This is also the case in the Middle East and Gulf region and specifically to the United Arab Emirates (UAE). The perception of RAS has been studied in the USA, Europe, and Canada. However, there is limited research on the perception of RAS in the UAE. The study aims to examine the perception of RAS among healthcare experts in the UAE and potential challenges. This qualitative study is based on interviewing healthcare experts in the UAE. Most of the study participants were clinicians and surgeons. In the UAE, RAS is adopted in general surgery, urology, brain surgery, and obstetrics and gynecology. Our findings show that healthcare experts have positive perceptions of RAS. The cost and lack of RAS training program are considered as challenges to adopting RAS in healthcare practices. More research is encouraged to examine perception variations with surgical practices in the UAE, Gulf and the Middle East.

Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust

The increasing adoption of robot systems in industrial settings and teaming with humans have led to a growing interest in human-robot interaction (HRI) research. While many robots use sensors to avoid harming humans, they cannot elaborate on human actions or intentions, making them passive reactors rather than interactive collaborators. Intention-based systems can determine human motives and predict future movements, but their closer interaction with humans raises concerns about trust. This scoping review provides an overview of sensors, algorithms, and examines the trust aspect of intention-based systems in HRI scenarios. We searched MEDLINE, Embase, and IEEE Xplore databases to identify studies related to the forementioned topics of intention-based systems in HRI. Results from each study were summarized and categorized according to different intention types, representing various designs. The literature shows a range of sensors and algorithms used to identify intentions, each with their own advantages and disadvantages in different scenarios. However, trust of intention-based systems is not well studied. Although some research in AI and robotics can be applied to intention-based systems, their unique characteristics warrant further study to maximize collaboration performance. This review highlights the need for more research on the trust aspects of intention-based systems to better understand and optimize their role in human-robot interactions, at the same time establishes a foundation for future research in sensor and algorithm designs for intention-based systems.

On the importance of patient acceptance for medical robotic imaging

PURPOSE

Mutual acceptance is required for any human-to-human interaction. Therefore, one would assume that this also holds for robot-patient interactions. However, the medical robotic imaging field lacks research in the area of acceptance. This work, therefore, aims at analyzing the influence of robot-patient interactions on acceptance in an exemplary medical robotic imaging system.

METHODS

We designed an interactive human-robot scenario, including auditive and gestural cues, and compared this pipeline to a non-interactive scenario. Both scenarios were evaluated through a questionnaire to measure acceptance. Heart rate monitoring was also used to measure stress. The impact of the interaction was quantified in the use case of robotic ultrasound scanning of the neck.

RESULTS

We conducted the first user study on patient acceptance of robotic ultrasound. Results show that verbal interactions impacts trust more than gestural ones. Furthermore, through interaction, the robot is perceived to be friendlier. The heart rate data indicates that robot-patient interaction could reduce stress.

CONCLUSIONS

Robot-patient interactions are crucial for improving acceptance in medical robotic imaging systems. While verbal interaction is most important, the preferred interaction type and content are participant dependent. Heart rate values indicate that such interactions can also reduce stress. Overall, this initial work showed that interactions improve patient acceptance in medical robotic imaging, and other medical robot-patient systems can benefit from the design proposals to enhance acceptance in interactive scenarios.

Promoting telemedicine in Latin America in light of COVID-19

The Faculty of Health Sciences at the Universitat Oberta de Catalunya (Barcelona, Spain) was officially designated a 'World Health Organization (WHO) Collaborating Centre in eHealth' on 5 April 2018. The Centre aims to provide support to countries willing to develop new telemedicine services; to promote the use of eHealth; and to study the adoption and use of mobile health in countries of both the Region of the Americas and Europe. On 11 March 2020, WHO declared COVID-19 a global pandemic given the significant increase in the number of cases worldwide. Since then, the Centre has played an important role in addressing COVID-19 by undertaking fruitful cooperative activities. Lockdowns and social distancing in response to the high contagion rate of COVID-19 were the main triggers for a challenging digital transformation in many sectors, especially in healthcare. In this extreme crisis scenario, the rapid adoption of digital health solutions and technological tools was key to responding to the enormous pressure on healthcare systems. Telemedicine has become a necessary component of clinical practice for the purpose of providing safer patient care, and it has been used to support the healthcare needs of COVID-19 patients and routine primary care patients alike. This article describes the Centre's contribution to the work of the Pan American Health Organization (PAHO) and WHO in supporting Latin American and European countries to develop new telemedicine services and guidance on how to address COVID-19 through digital health solutions. Future actions are also highlighted.