Global Surgical Robotics Market: Two Relevant AI Use Cases

Artificial intelligence (AI) has transformed numerous industries since its emergence, but its impact on healthcare, particularly in medicine, stands out as revolutionary. In this sector, AI serves as a powerful ally for physicians, enhancing decision-making processes and enabling more accurate predictions of patient outcomes. Surgical practices, in particular, have witnessed significant advancements with the integration of AI-driven robotic assistance, leading to safer and more precise procedures. According to Inkwood Research, the global surgical robotics market is projected to record a CAGR of 9.29% during 2024-2032 and is set to garner $25644.37 by 2032.

Furthermore, recent innovations in AI and machine learning are revolutionizing surgical robotics, transforming the surgical environment. By leveraging data from sensors and images, surgical robots are poised to reach new levels of precision and efficiency, driving forward innovation in AI-powered surgical techniques.

Surgical Robotics Market - Inkwood Research

Global Surgical Robotics Market Trends: Key AI Use Cases

  • Preoperative planning

Advanced preoperative planning in surgical procedures encompasses a spectrum of tasks, ranging from visualizing each step of the operation to devising strategies for precise navigation and enhanced accuracy. Within this domain, machine learning and computer vision technologies play pivotal roles, offering numerous advantages.

In contemporary surgical practices, machine learning algorithms and computer vision systems are increasingly utilized to swiftly analyze diverse patient data, including medical records and scans. These technologies facilitate the creation of detailed 3D models of patients’ anatomy by integrating information from various imaging modalities such as CT scans, MRI scans, and ultrasound scans.

Once generated, these 3D models serve as a foundation for surgical planning. Through the application of computer vision algorithms and deep learning models, the visual data is meticulously scrutinized to identify potential risks and offer recommendations for each stage of the surgery. Moreover, these algorithms enable surgeons to precisely delineate and isolate specific anatomical structures and regions of interest within the 3D models, enhancing the clarity of the surgical target area.

By segmenting crucial anatomical elements, surgeons can explore different surgical approaches and meticulously plan the trajectory of instruments and incisions. This meticulous planning process allows for the assessment of potential risks by quantifying the proximity and interaction between planned surgical paths and adjacent structures.

In essence, the integration of machine learning and computer vision technologies into preoperative planning expedites the analysis of patient data. At the same time, it empowers surgeons with enhanced visualization and strategic insights, ultimately contributing to safer and more precise surgical outcomes.

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  • Example: Paradigm™ by Proprio Vision

On 16th October 2023, Proprio announced the first-in-human use of its groundbreaking surgical technology platform, Paradigm. Dr. Richard J. Bransford, MD, a renowned figure in the field of spine surgery and education at the University of Washington Harborview Medical Center, successfully utilized Paradigm in its first human application.

With a primary focus on addressing the 1.6 million spinal procedures conducted annually in the United States, Paradigm represents a pioneering solution. By integrating cutting-edge light field imaging technology with artificial intelligence (AI), the platform offers surgical teams unparalleled 3D visualization of both anatomical structures and the surgical field.

Utilizing an array of sophisticated sensors and cameras, Paradigm captures high-definition multimodal images in real-time during surgery. These images are seamlessly integrated with preoperative scans, providing surgeons with dynamic, live mapping of the anatomy. This real-time data empowers surgeons with invaluable insights and advanced visualization tools, revolutionizing the surgical experience.

Moreover, Paradigm significantly enhances surgical navigation capabilities while minimizing reliance on costly and potentially harmful traditional scans that involve radiation exposure. By collecting vast amounts of preoperative and intraoperative data, Paradigm contributes to informed decision-making, ultimately enhancing surgical efficiency and precision.

Says Dr. Bransford, “The use of Paradigm in our surgical environment is a game-changer representing the future of spinal surgery. The real-time 3D imagery allowed us to visualize the patient’s anatomy in ways not previously available to us. That will ultimately enable us to drive better outcomes for patients.” (Source)

  • Interoperative Guidance 

In precision-driven procedures, where even the smallest error can have significant consequences, the adoption of image-guided surgery has become imperative for many healthcare facilities. This cutting-edge technology relies on computer vision to track instruments and recognize objects, delivering real-time video data to AI systems. These AI models play a crucial role in monitoring surgeries and alerting medical professionals to any irregularities, such as excessive bleeding or tissue damage.

By harnessing AI assistance, surgical robots enhance their capabilities to track and respond to the movements of instruments with unparalleled accuracy. Moreover, these systems excel in identifying crucial anatomical structures and abnormalities within the surgical field, offering surgeons invaluable real-time guidance.

  • Example: Medtronic’s Hugo Surgical Robot

On 15th December 2022, Medtronic plc initiated a significant milestone with the enrollment of the first patient in the Expand URO U.S. clinical trial for the Hugo™ robotic-assisted surgery (RAS) system. The pioneering procedure, a robotic-assisted prostatectomy, was skillfully conducted by Dr. Michael R. Abern at Duke University Hospital in Durham, N.C.

Urologic surgeries frequently benefit from the precision and efficiency offered by surgical robots, and the Hugo™ RAS system is poised to elevate this standard. This innovative system is specifically designed for urologic surgical procedures, encompassing radical prostatectomy, radical cystectomy, and nephrectomy (partial or radical), with multiple sites across the U.S. participating in the trial.

Moreover, the integration of the Hugo™ RAS system with Touch Surgery™ Enterprise presents a cutting-edge, digitally enhanced surgical approach. This intelligent system has already made waves internationally, with successful utilization in hospitals spanning three continents. Its versatility extends beyond urology to encompass gynecology and general surgery, demonstrating its broad applicability and potential impact on surgical practices worldwide. (Source)

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Surgical Robotics Market Outlook Future of AI in Robotic Surgeries 

Surgical pathways, characterized by evidence-based protocols and often bolstered by technological advancements, offer concrete measures for assessing performance, efficiency, and patient outcomes. This foundation has propelled the maturity of AI models and the approval of software-as-medical devices by regulators, positioning them at pivotal stages within surgical processes. These innovations span various stages of surgery, from screening and diagnosis with radiomic devices to predictive models leveraging comprehensive clinical data for risk assessment. 

Additionally, AI-assisted robotic surgical systems, efficiency-optimizing models, and decision support systems for postoperative care contribute to the comprehensive evolution of surgical workflows. The integration of AI is poised to enhance efficiency and outcomes across diverse surgical specialties, backed by evidence of significant savings and improvements in patient care. Such aspects will define the global surgical robotics market growth trajectory in the coming years.

By Akhil Nair

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    AI empowers surgical robots by enabling them to analyze vast amounts of data collected from sensors and images in real time. This analysis enhances precision and decision-making during procedures, leading to improved surgical outcomes and reduced risk for patients.

    AI-equipped surgical robots can undertake a wide range of tasks, including tissue manipulation, suturing, and precise incision-making. Additionally, they can assist surgeons in complex procedures by providing real-time feedback and enhancing surgical dexterity.