BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
TZID:Europe/London
X-WR-TIMEZONE:Europe/London
BEGIN:VEVENT
UID:46@oxon.bcs.org
DTSTART;TZID=Europe/London:20210415T193000
DTEND;TZID=Europe/London:20210415T210000
DTSTAMP:20220429T115115Z
URL:https://oxon.bcs.org/programme/dlcexpert-improving-patient-outcomes-in
 -radiotherapy-through-deep-learning/
SUMMARY:DLCExpert: Improving patient outcomes in radiotherapy through deep 
 learning
DESCRIPTION:\nLottie Thomas\, Software Engineer\, Mirada Medical Ltd\nMirad
 a Medical is an Oxford-based software company whose mission is to help doc
 tors use images to treat cancer and other illnesses. In 2018 they released
  the first commercially available AI autocontouring solution for radiother
 apy treatment planning\, DLCExpert.\n\nRadiotherapy involves targeting and
  killing a cancer with ionizing radiation\, while avoiding causing damage 
 to surrounding healthy tissue. Every plan needs a clinical expert to draw 
 structures (aka “contours”) on a scan of the patient representing the 
 target and all of the surrounding healthy structures (e.g. heart\, lung\, 
 spinal cord\, glands etc). This is very time-consuming resulting in both a
  longer lead time to treat the patient\, and less time for the clinical st
 aff to assess other important aspects of the plan. Studies also show that 
 contouring can also be inconsistent between clinical experts\, leading to 
 less predictable outcomes for the patient.\n\nThis talk will explore how M
 irada is using deep learning to automate radiotherapy treatment planning f
 or cancer patients\, delivering faster and more consistent outcomes. It wi
 ll also explore how the challenges of using AI as a medical device can be 
 overcome.
ATTACH;FMTTYPE=image/jpeg:https://oxon.bcs.org/wp-content/uploads/2020/08/
 DLC-Expert-Thumb.png
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/London
X-LIC-LOCATION:Europe/London
BEGIN:DAYLIGHT
DTSTART:20210328T020000
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR