Human error has been a big issue in surgeon rooms worldwide. According to statistics in the USA nearly 4,000 patients are injured annually during the surgeries. From 1990 to 2010 there were 9,744 registered court cases against doctors who have conducted the surgery, the plaintiffs were awarded approximately $1.3 billion in damages over the course of this period . To improve the outcomes of the surgeries we can benefit from the usage of AI systems. On one hand, IT systems can assess the surgical execution in over 85% cases and present a detailed evaluation of skills of a given surgeon that helps humans to understand their weak sides and boost their performance . Robots also help young and inexperienced surgeons to improve their results and enhance their development and self-confidence. On the other hand, AI can completely substitute humans in carrying out surgeries. For instance, surgeons are required to inform each patient personally about a possible recovery chance or predicted risks. Sometimes these calculations go way beyond humans’ calculation abilities, but AI will be able to name all of these figures with very definite accuracy . Furthermore, today’s medicine is highly dependent on the da Vinci System that has been used for over two decades, but there are several modern tools tackling the precise surgery process. While conducting the surgery, suturing is believed to be one of the most important parts that decide the successful completion of surgery . Very often due to human fatigue surgeons are failing to deliver the best outcome possible. However, robots today require humans only to enter the parameters like suture size to complete the surgery. Moreover, AI can self-learn while conducting the work in real-time. Surgical robots are supplied with embedded machine learning algorithms that allow them to spectate at surgeon’s actions during a surgery which allows them to find a better and a more accurate way to perform surgery than a human . Computer systems reduce the bureaucracy burden laid on hospital workers. For instance, analytical tools are used for completing the reports, organize and follow the individual curriculum of each patient allowing doctors and nurses to spend more time with their patients resulting in better treatment. This looks to be a very promising solution to reduce the number of fatal instances during surgery. The AI systems in medicine are predicted to grow annually by 10.4%, from the value of $3.9 billion in 2018 to $6.5 billion by 2023 . Although, surgical robots are still being developed and several flaws are being solved in their operational systems. There is a very high chance that AI and robots will substitute human surgeons in the operating room.
- Robotic Surgery: The Role of AI and Collaborative Robots. (2019, September 7). Retrieved December 17, 2019, from https://www.robotics.org/blog-article.cfm/Robotic-Surgery-The-Role-of-AI-and-Collaborative-Robots/181.
- Shocking Surgical Error Statistics Show 4,000 Victims Annually. (2017, February 16). Retrieved December 17, 2019, from https://www.seattlemalpracticelawyers.com/blog/2017/02/shocking-surgical-error-statistics/.
- Shugalo, I. (2018, September 18). How Can Machine Learning Improve Surgery? Retrieved December 17, 2019, from https://www.technologynetworks.com/informatics/articles/how-can-machine-learning-improve-surgery-309645.
- Taking Surgery to the Next Level with Machine Learning. (2019, September 15). Retrieved December 17, 2019, from https://www.hackernoon.com/taking-surgery-to-the-next-level-with-machine-learning-qj3fo3zg4.