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DTSTAMP:20221204T203838Z
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DTSTART;TZID=America/New_York:20221201T170000
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DESCRIPTION:Robotic surgery is the use of technology to perform complex med
 ical procedures with more precision\, flexibility\, and control. Robotic A
 ssisted Surgical Devices (RASDs) have the potential to reduce operation ti
 me and anesthesia use\, minimize complication risk\, and improve patient r
 ecovery. With the rapid acceptance of robotic surgery and slow-paced adopt
 ion\, there exists several computational challenges for further exploring 
 the limitations in functionality. This session will cover how optimization
  algorithms\, ML\, and model-based design are being used within the medica
 l workflow\, to perform pre-operative surgical planning and improve RASD d
 esign.\n\nSpeaker(s): Dr. Moiz Khan\, \n\nAnnex Central 550 Parker Street\
 , Boston\, Massachusetts\, United States\, 02120
LOCATION:Annex Central 550 Parker Street\, Boston\, Massachusetts\, United 
 States\, 02120
ORGANIZER:gmiragli@mathworks.com
SEQUENCE:0
SUMMARY:Computational Challenges in Surgical Robotics
URL;VALUE=URI:https://events.vtools.ieee.org/m/335987
X-ALT-DESC:Description: <br /><p>Robotic surgery is the use of technology t
 o perform complex medical procedures with more precision\, flexibility\, a
 nd control. Robotic Assisted Surgical Devices (RASDs) have the potential t
 o reduce operation time and anesthesia use\, minimize complication risk\, 
 and improve patient recovery. With the rapid acceptance of robotic surgery
  and slow-paced adoption\, there exists several computational challenges f
 or further exploring the limitations in functionality. This session will c
 over how optimization algorithms\, ML\, and model-based design are being u
 sed within the medical workflow\, to perform pre-operative surgical planni
 ng and improve RASD design.</p>
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