AI assisted robotic surgery

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AI assisted robotic surgery by Mind Map: AI assisted robotic surgery

1. first robotic surgery system - PUMA 560 (1985)

2. further modified and recognised as the 'da Vinci platform'

3. imaging, navigation, and interventions decreases surgical failures (Mammen, 2021)

4. STAR gave an insight into AI

5. robots to "see, think and act"

6. learning explicitly and implicitly

7. accomplish outcomes without dependency on human

8. limited due its cost of installation, regulatory framework, safety, and the need for skilled professional.

9. analyse patient's medical records before the surgery

10. reduce the length of patient stay in the hospital (kalis, 2018)

11. five times lesser complications than surgeons (kirsh, 2018)

12. key issues

12.1. robotic arms) being entered into a patient's body.

12.2. automatic staplers (iDrive, Medtronic, Dublin, Ireland). (Gumbs, 2021)

12.3. capital equipment and consumable accessories (Global Data)

12.4. social ethical and legal domains

12.5. small datasets

13. prioritising and investing in robotic surgery (Cardenas, 2020)

14. covid era (three aspects)

15. does not help in clinical decision making instead makes the decision sharper and informed