About this Research Topic
While surgical robotics have been around for about five decades, and have certainly entered the operating rooms (OR), some even enjoying commercialization for wider acceptance and adoption than others, the idea, acceptance and acquisition of robotics at a more routine level continues to face resistance at multiple levels. Industry is still reluctant to create and offer an ideal robot that can efficiently aid in surgery as expertly and seamlessly as a well-trained surgeon or assistant. And many industries often revert to making a simpler robot or system, and not something that may disrupt the dynamics or human-machine interface and exchange in the OR. Why? Now that the world has made great advances in software/hardware/electronics/computing and analytics, including machine learning, i.e. Industry 4.0 disruption, can this perception and easy acceptance of robotics change?
It may be hypothesized that an all-encompassing robotic system with superb human-like senses, intelligence, dexterity, reaction time to name a few, is possible to create or achieve. Thus, by overcoming any perceived or real barrier/s to realizing such a surgical robotic system, an expert robot that ensures the safety and performance of surgery for improved patient care and surgeon guidance, will be a reality. Instead of raising hesitancy or intimidation amongst the surgical/OR team or buyers, robotics will be a necessity and an integral part of the ORs and hospitals worldwide.
The submission can be an original research work in the authors’ specific field of surgical robotics, a pre-clinical study, clinical trial or case study, a review or letter. While presenting the work, it is important to include aspects or features such as (but not restricted to):
• Current or future strategies on use of machine learning
• Smooth mechanical operations/computing capability
• Real time guidance and feedback for surgeon experience
• Learning
• Confidence
• Ease of use
• Surgical decision making
• Enhanced robot-assistance etc.
• Software intelligence of robotics, including use of large language models
Keywords: intelligent surgical robotics, artificial intelligence, surgical performance, surgical training, automated robotics, cloud computing, data science, surgical standardization, cost
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.