BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Department of Computer Science - ECPv5.12.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Department of Computer Science
X-ORIGINAL-URL:https://www.cs.jhu.edu
X-WR-CALDESC:Events for Department of Computer Science
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201110T104500
DTEND;TZID=America/New_York:20201110T120000
DTSTAMP:20220112T093948
CREATED:20210629T210724Z
LAST-MODIFIED:20210629T210724Z
UID:1962510-1605005100-1605009600@www.cs.jhu.edu
SUMMARY:CS Seminar Series: Mehran Armand\, Johns Hopkins University APL\, Johns Hopkins University APL – “Trends in Computer-Assisted Orthopaedic Surgery Research”
DESCRIPTION:LocationZoom: https://wse.zoom.us/j/95971304704AbstractRecent advances in informatics\, robotics\, machine learning\, and augmented reality provide exciting opportunities for developing integrated surgical systems for orthopaedic surgery. These systems have the potential to help surgeons improve conventional approaches and empower them to test novel surgical intervention techniques. These integrated interventional systems can assist the surgeon to make use of both patient-specific and population-specific data to perform technical analysis for optimizing a surgical plan. Integrated within the surgical navigation system are dexterous tools and manipulators as well as enhanced visualization to improve the accessibility\, precision\, and perception of the surgeon. Finally\, the overall system architecture can include tools for patient-specific outcome analysis. The resulting analytics can populate and improve existing informatics databases. The talk will discuss our current efforts and challenges in developing such computer/robot assisted systems for applications in orthopaedic surgery.BioMehran Armand is Professor of Orthopaedic Surgery\, Research Professor of Mechanical Engineering\, and Principal Staff at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). He received a Ph.D. degree in mechanical engineering and a Ph.D. degree in kinesiology from the University of Waterloo with a focus on bipedal locomotion. Prior to joining JHU/APL in 2000\, he completed postdoctoral fellowships at JHU Departments of Orthopaedic Surgery and Otolaryngology (ENT). He currently directs the laboratory for Biomechanical- and Image-Guided Surgical Systems (BIGSS) within the Laboratory for Computational Sensing and Robotics (LCSR). He also co-directs the newly established Neuroplastic Surgery Research laboratory and AVICENNA laboratory for advancing surgical technologies\, located at the Johns Hopkins Bayview Medical Center. His lab encompasses collaborative research in continuum manipulators\, biomechanics\, medical image analysis\, and augmented reality for translation to clinical applications in the areas of orthopaedic\, ENT\, and craniofacial reconstructive surgery.HostDepartment of Computer ScienceVideoWatch seminar video.
URL:https://www.cs.jhu.edu/event/cs-seminar-series-mehran-armand-johns-hopkins-university-apl-johns-hopkins-university-apl-trends-in-computer-assisted-orthopaedic-surgery-research/
END:VEVENT
END:VCALENDAR