Artificial intelligence and robotic surgery
| Autor: | Madhu Reddiboina, Mahendra Bhandari, Trevor Zeffiro |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Urology media_common.quotation_subject Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION technology industry and agriculture 030232 urology & nephrology Robotics body regions 03 medical and health sciences surgical procedures operative 0302 clinical medicine Robotic Surgical Procedures Artificial Intelligence 030220 oncology & carcinogenesis Humans Medicine Robot Robotic surgery Artificial intelligence business Function (engineering) human activities media_common |
| Zdroj: | Current Opinion in Urology. 30:48-54 |
| ISSN: | 0963-0643 |
| Popis: | This review aims to draw a road-map to the use of artificial intelligence in an era of robotic surgery and highlight the challenges inherent to this process.Conventional mechanical robots function by transmitting actions of the surgeon's hands to the surgical target through the tremor-filtered movements of surgical instruments. Similarly, the next iteration of surgical robots conform human-initiated actions to a personalized surgical plan leveraging 3D digital segmentation generated prior to surgery. The advancements in cloud computing, big data analytics, and artificial intelligence have led to increased research and development of intelligent robots in all walks of human life. Inspired by the successful application of deep learning, several surgical companies are joining hands with tech giants to develop intelligent surgical robots. We, hereby, highlight key steps in the handling and analysis of big data to build, define, and deploy deep-learning models for building autonomous robots.Despite tremendous growth of autonomous robotics, their entry into the operating room remains elusive. It is time that surgeons actively collaborate for the development of the next generation of intelligent robotic surgery. |
| Databáze: | OpenAIRE |
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