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DTSTAMP:20250729T131008Z
UID:E0101DCB-97A5-4879-86F6-6268F14F2015
DTSTART;TZID=America/Chicago:20240520T183000
DTEND;TZID=America/Chicago:20240520T183200
DESCRIPTION:More than 40% of patients with cancer develop brain metastases\
 , and Whole-Brain Radiation Therapy (WBRT) treatment is a well-established
  treatment for patients with brain metastases by radiologically controllin
 g both visible tumors and invisible micro-metastases. However\, convention
 al WBRT treatment planning is time-consuming. In addition\, institutions v
 ary in their clinical approaches to WBRT treatment planning. Furthermore\,
  limited resources in low-to-middle-income countries can lead to delays\, 
 especially with regard to human resources. In this work\, we developed\, e
 valuated\, and deployed a fully automated\, muti-approaches\, AI-based tre
 atment planning solution for whole-brain radiotherapy (WBRT).\n\nSpeaker(s
 ): Yao Xiao\, PhD\, \n\nAgenda: \n6:30 - 7:00 Social half hour to grab foo
 d and drink\n\n7:00 - 8:00 Technical talk\n\nRoom: Mann Hall\, Bldg: Medic
 al Sciences Building\, 300 3rd Ave SW\, Rochester\, Minnesota\, United Sta
 tes\, 55902\, Virtual: https://events.vtools.ieee.org/m/420372
LOCATION:Room: Mann Hall\, Bldg: Medical Sciences Building\, 300 3rd Ave SW
 \, Rochester\, Minnesota\, United States\, 55902\, Virtual: https://events
 .vtools.ieee.org/m/420372
ORGANIZER:pramanik.leena@ieee.org
SEQUENCE:94
SUMMARY:May Talk: AI Advancements in Healthcare: Automated Whole‐Brain Ra
 diation Therapy Treatment Planning (HYBRID)
URL;VALUE=URI:https://events.vtools.ieee.org/m/420372
X-ALT-DESC:Description: <br /><p class="MsoNormal"><span style="font-size: 
 12.0pt\; color: #212121\;">More than 40% of patients with cancer develop b
 rain metastases\, and Whole-Brain Radiation Therapy (WBRT) treatment is a 
 well-established treatment for patients with brain metastases by radiologi
 cally controlling both visible tumors and invisible micro-metastases. Howe
 ver\, conventional WBRT treatment planning is time-consuming. In addition\
 , institutions vary in their clinical approaches to WBRT treatment plannin
 g. Furthermore\, limited resources in low-to-middle-income countries can l
 ead to delays\, especially with regard to human resources. In this work\, 
 we developed\, evaluated\, and deployed a fully automated\, muti-approache
 s\, AI-based treatment planning solution for whole-brain radiotherapy (WBR
 T).</span></p><br /><br />Agenda: <br /><p><em>6:30 - 7:00</em>&nbsp\;Soci
 al half hour to grab food and drink</p>\n<p><em>7:00 - 8:00</em>&nbsp\;Tec
 hnical talk</p>\n<p>&nbsp\;</p>
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