The use of 3D printed simulation models and artificial intelligence (AI) to enhance robotic surgery training, highlighting the advantages of 3D printed models in the field of robot-assisted surgery, will help improve clinical applications. The field of robot-assisted surgery is growing exponentially. For example, the use of the Da Vinci surgical system has increased significantly over the past decade, and the importance of robot-assisted surgical training is self-evident. Robot-assisted surgery has become synonymous with minimally invasive surgery; Reduce tissue damage for patients and improve ergonomics for surgeons. The use of a variety of simulation tools, such as virtual and augmented reality, live animal models and cadavers, has played an important role in developing robot-assisted surgery capabilities. However, laboratory 3D printed models have demonstrated their effectiveness in enhancing robotic proficiency, and the combination with artificial intelligence can provide specific benchmarks of competence for evaluating performance in the field of machine-assisted surgery.
The importance of 3D printed models in robot-assisted surgery training
The importance of 3D printing in robot-assisted surgery training lies in its ability to create accurate simulation models of materials and anatomy. These models provide a tangible and realistic representation of human anatomy, allowing surgeons to practice and perfect their skills in a controlled environment. Such high-precision simulation training is known to be crucial for developing and honing surgical skills.
By integrating realistic tissue features and accurate human anatomy, 3D printed models create a more controlled training environment, giving trainers the opportunity to repeat exercises in a realistic program setting; Transcends the limitations of VR simulation and provides an experience comparable to wet lab models.
The cost-effectiveness of 3D printing is also in the spotlight because of its ability to create custom models at a fraction of the cost of wet lab models such as obtaining live animals or human cadavers. In addition, the personalized nature of the 3D printed model allows for tailored surgical planning, enhancing the precision and efficacy of robot-assisted surgery.
Advances in 3D printed models and robotic surgery training
Ongoing advances in materials and printing technologies that can further improve the accuracy and fidelity of 3D printed models; The integration of haptic feedback systems into 3D printed models as a means of simulating tactile sensations in surgery provides a more immersive training experience for surgeons. Benchmark and install sensors for comprehensive analysis and enhanced learning. These advances are critical to ensuring 3D printed models and meeting the evolving demand for robotic surgical training.
Advances in artificial intelligence in robotic surgery training
It is critical to highlight the need for objective evaluation of robotic surgery training, as current evaluation methods rely on subjective human ratings, which can lead to bias and consume significant time and resources for educators or evaluators. The emergence of automated performance Indicators (APMs) provides an opportunity for objective and analytical evaluation of surgical techniques, enabling surgical trainers to obtain impartial and quantifiable evaluations. A new data logger called "dVLogger" has been developed to capture data directly from the Da Vinci Surgical system, facilitating automated data collection.
AI has the potential to revolutionize robotic surgical practice through AI deep learning, machine learning capabilities, and organizing and sharing vast amounts of surgical data, including videos, training procedures, imaging, and medical records. As a result, identification of difficult situations may be encountered during training, enabling real-time monitoring and analysis of various data types during surgery to predict and prevent adverse events.
In addition, substantial evidence and high-quality studies, including rigorous methodologies and long-term follow-up, are needed to fully realize the potential of 3D printing in robotic surgical training. The actual use of 3D printed organ models in different environments is crucial for accurate evaluation.
Summary and prospect
In conclusion, the potential of 3D printed models and AI integration in robotic surgical training can be realized by providing anatomically accurate, cost-effective, and personalized models. In addition, advances in artificial intelligence can enable endless possibilities from objective evaluation to 3D printing model techniques and improved fidelity. All of this will help drive advances in robotic surgery training and patient care by integrating cutting-edge technologies.以上翻译结果来自有道神经网络翻译（YNMT）·