Medical robotics began general surgery for the first time in the 1980s with laparoscopic tools, which enabled minimally invasive procedures, shortening the size of the incision and recovery time. These early systems have expanded the capabilities of surgeons by transforming the surgical landscape.
Today, artificial intelligence (AI) introduces a new era of precision and control in the operating room. However, despite this progress, robotic systems are limited to selected procedures, leaving most of the operations depending on traditional methods – and many patients without the benefit of increased consistency and results.
As the medical technology evolutions, how can AI use on a surgical scale transform healthcare at a broader level?
Increased market potential
Driven by Increased robotic financing VC And the digital transformation from the last five years, in the robotics industry, observes fast market results without signs of stopping. At the beginning of this year, Nvidia He announced the intention to increase the investment in the development of the robot, signaling a positive change in the future of robotics. Similar investments in robotics by large -scale players will further develop robotic technology by collecting data and machine learning, while providing additional resources and observations.
Surgical robotics industry leaders, such as intuitive surgical, Medtronic and Stryker, pionered operations assisted by robots for various procedures. Since the introduction of the DA Vinci system to general surgery in 2000, intuitive surgery has continued toil its robotic platform to expand its offer, among others, to cardiological, bariatric, gynecological and chest operations. Along with the mass adoption of operations assisted by robots, surgical robotics were consistently accepted on a faster scale. In the years 2012–2018, assisted robots increased 738% in general operation.
Looking to the future, surgical robotics has even greater market potential and is expected to increase Over $ 14 billion until 2026 -in comparison with just over $ 10 billion in 2023. This is mainly due to greater access to robotic surgery procedures, progress in the field of automation and digital technologies and new players who want to provide the latest medical solutions that use the power of artificial intelligence.
Deep technological approach
Built at the intersection of disciplines, Deep Tech combines multidisciplinary technologies such as AI, quantum calculations, biotechnology and robotics to introduce a new era of technology. Startups covering a deep technological approach in robotic surgery create innovative solutions for the future, which can be seen in the development of Healthtech, which can improve patients' access to critical medical care. Thanks to the deep development of technology, surgical procedures can be fully automated on the road, requiring minimal surgery aid and significantly increasing access to treatment.
Emerging deep technologies in surgical robotics may have a lasting global influence. Roughly two -thirds Among the world population – 5 billion people – lack of access to surgical treatment, these new methods, powered by artificial intelligence, can increase overall access and close the gap in surgical care.
Combining artificial intelligence and surgical robotics
AI introduced innovation and changed the way of interaction with various technologies and each other. Over the past five years, the transformation caused by artificial intelligence has accelerated the development of robotics and created additional applications for AI in various methods, including robotic operation.
Here are three important ways in which AI has a quick and deep influence:
1. Incarnate AI
Technology changes the way of interaction with our environment and people around us. Incarnate artificial intelligence, which includes autonomous vehicles and humanoid works, is a combination of AI with physical systems to perform complex tasks in real conditions. After applying incorporated artificial intelligence to surgical robotics, it may have a long -term impact on increasing surgical care and improving existing techniques. However, the incorporated artificial intelligence requires significant real data to develop models of training simulations that are used to train and expand AI's capabilities and improve data -based information. Until recently, access to large amounts of training data was somewhat limited; However, because the industry still invests in the training and development of AI models, simulated data pools grow at a faster pace and improve the incarnate functionality of AI.
2. Continuous insight into data and tips
Systems based on artificial intelligence can absorb and understand large swaths of information in seconds-significantly faster than the human brain. Thanks to training machines on large data sets, observations based on data can inform about surgical decisions before surgeons even put their foot in the OR. AI training simulations based on AI can significantly benefit surgeons, because training on data sets based on thousands of operations provides surgeons trends and techniques to provide better patient experience, as well as enable them to prepare and understand the complexities of rare or complex cases before they face them. This process can significantly accelerate and shorten what vision of learning curve surgeons during training to achieve peak surgical efficiency.
After applying to real -time imaging and visualization technology, AI -based data -based data can also increase the decision -making capabilities of surgeons during surgery. By providing surgeons, insight into the adaptation of surgical plans during procedures, systems based on artificial intelligence may enable surgeons to optimize techniques and approach in real time. Through imaging systems based on AI, surgeons can receive advanced analyzes of imaging and “maps” 3D during surgical time. These extended overlays can give surgeons to extended insight into the surgical field along with real -time feedback on their surgical techniques. Robotic surgery platforms are at the forefront of integrating this technology from the OR in order to increase surgical precision and results.
In addition, by providing constant feedback information, AI-based systems can provide surgeons with valuable feedback on their results during procedures-by providing weaknesses and strengths, and suggesting specific strategies of their improvement. Such platforms may also recommend new treatment plans based on the history of each patient and analysis of data of a specific procedure and strengthen surgeons with additional information that can improve further treatment. Therefore, AI platforms can absorb and adapt surgical feedback throughout the entire surgical cycle (before, during and PO) through the AI feedback loop to increase the precision and efficiency of surgeons.
3. Increased accuracy and precision
Individual surgical skills often differ depending on the surgeons due to their access to the highest level capabilities, from the location of the program to access to surgical mentoring. For example, the field of ophthalmology has a steep learning curve. On average it takes at least 15 years of training and surgical experience achieve peak performance as an ophthalmological surgeon. Along with the growing aging population and a decreasing number of surgeons, a new solution is needed to reduce the surgeon's training period and unify the accuracy and precision of caring for everyone.
In addition to reducing the learning curve of surgeons and enabling them to achieve peak performance faster, the introduction of AI -based platforms to the surgical process can increase accuracy and precision and can improve unoptitled results. Seic and more and more autonomous features on robotic platforms can eliminate the natural trembling of the surgeon's hand and improve general precision and accuracy, thus improving clinical results. In addition, the ability of systems based on artificial intelligence to recognize unique anatomical structures and ensure the exact location of the incision and other surgical stages-especially in complex procedures or anatomical areas-can significantly reduce the speed of surgeon errors by improving the spatial awareness of the anatomical structures. Therefore, all surgeons using systems based on artificial intelligence will be able to provide more accurate care.
After incorporating in the surgical process, robotic platform based on artificial intelligence provide invaluable observations that can increase overall experience for both the patient and the surgeon.
Application
AI will continue to play a significant role in the development of healthcare in the future. It is necessary to include advanced AI technologies in our healthcare services, such as electronic notification, diagnostics and health monitoring and tracking, as well as surgical care. In this way, we can improve the general experience of the patient and the surgeon.
In robotic surgery, AI accelerates technology transformation and patients' access to consistent high -level treatment. Progress in robotics, combined with artificial intelligence and automation, will continue to introduce new applications, creating a higher level of normalized care and launching the quality of healthcare and access to new heights.
