Endorobotics Design, R&D and Future Trends

Intro — Endorobotics: Design, R and D and Future Trends — Copyright — Contents — Contributors — Preface — Acknowledgments — Part 1: State of the art of robots for endoscopy — Chapter 1: Robotics in surgery and clinical application — 1.1. Introduction — 1.2. Robot-assisted minimally invasive surgery (RAMIS) — 1.2.1. Senhance Surgical Robotic System — 1.2.2. Flex Robotic System — 1.2.3. Auris Robotic Endoscopy System (ARES) — 1.2.4. University of Nebraska laparoscopic single-incision robot — 1.2.5. SPORT Surgical System — 1.2.5.1. MiroSurge — 1.2.5.2. Versius — 1.2.6. Mazor robotics — 1.2.7. Einstein — 1.2.8. Verb surgical — 1.2.9. FreeHand — 1.2.10. Stiffness controllable flexible and learnable manipulator for surgical operations (STIFF-FLOP) — 1.2.11. A miniature robot for retraction tasks under vision assistance in MIS — 1.3. Clinical applications — 1.4. Conclusions — References — Chapter 2: Artificial intelligence for medical robotics — 2.1. Background — 2.1.1. Eye surgery — 2.1.2. Neurosurgery — 2.1.3. Cardiac Surgery — 2.1.4. Orthopedic surgery — 2.1.5. Minimally invasive surgery (MIS) — 2.2. AI in robotic surgery — 2.3. AI in diagnosis (pathology/radiology systems) — 2.4. AI in virtual reality (VR) and simulation — 2.5. AI in teaching and training — 2.6. AI in surgical planning and robotic-assisted surgery — 2.7. Limitations — 2.8. Conclusions — References — Chapter 3: Colonoscopy robots — 3.1. Introduction — 3.2. Commercially certified robotic colonoscopes — 3.3. Research-oriented colonoscopy robots — 3.4. AI in colonoscopy — 3.5. Discussion and conclusions: What is now and whats next? — Acknowledgments — References — Chapter 4: Soft robotic systems for endoscopic interventions — 4.1. Introduction — 4.2. Overview of endoscopic procedures.