AI in Surgery

The potential role of artificial intelligence in preoperative and intraoperative planning and surgical robotics is very significant. AI techniques are already being actively used by practicing surgeons around the world. Let’s talk about the possibilities of artificial intelligence in surgery in more detail.

Preoperative planning is the stage where surgeons plan a surgical procedure based on the patient’s medical records and images. And artificial intelligence can be used to identify complex conditions that require immediate or special intervention. Deep learning algorithms have been able to detect abnormalities such as skull fracture, intracranial hemorrhage, and midline displacement on CT scans. Deep learning makes emergency care possible for these anomalies and represents a potential key to future patient triage automation. Results derived solely from clinical data collection without manual processing could improve emergency care by focusing more attention on patients most at risk for complications.

Artificial intelligence surgical robots, designed to assist during surgeries with the manipulation and positioning of surgical instruments, are computer-controlled devices that allow surgeons to focus on the complex aspects of surgery. Their use reduces surgeons’ hesitation during surgery and helps them improve their skills and perform operations better, thereby providing superior patient outcomes and reducing overall healthcare costs.

Using machine learning techniques, surgical robots help identify important insights and cutting-edge techniques by reviewing millions of datasets. Assensus Surgical has a performance-driven laparoscopic robot with artificial intelligence that provides surgeons with information, such as tissue size, instead of requiring a physical measuring tape. At the same time, human skills are used to program these robots through demonstrations — and to train them by simulating surgeries performed by surgeons.

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