انجمن فیزیک پزشکی ایران
Iranian Association
of Medical Physicists
| آخرین بروزرسانی: 1404/6/8 |
IOMP Webinar: ۱۱ Dec ۲۰۲۴
The Use of AI to Improve Access to High-Quality Radiation Therapy Treatment Planning in Low- and Middle-Income Countries
۱۱ December ۲۰۲۴ at ۱۲ pm GMT; Duration ۱ hour
چهارشنبه ۲۱ آذرماه ۱۴۰۳ - ساعت ۱۵:۳۰-۱۶:۳۰ به وقت ایران
Register here
https://iomp.us۱۹.list-manage.com/track/click?u=d۱۷ba۰۸۱۵۰۹۷۲۵۴ec۴da۸a۷۲b&id=b۲۴a۵۲۳۱ec&e=bf۳۵۴db۸f۱
(با VPN)
The Use of AI to Improve Access to High-Quality Radiation Therapy Treatment Planning in Low- and Middle-Income Countries
۱۱ December ۲۰۲۴ at ۱۲ pm GMT; Duration ۱ hour
چهارشنبه ۲۱ آذرماه ۱۴۰۳ - ساعت ۱۵:۳۰-۱۶:۳۰ به وقت ایران
Abstract:
Advances in artificial intelligence (AI) are going to affect all aspects of radiation therapy, including contouring, treatment planning, and quality assurance. This presentation will describe our efforts to develop and expand these tools specifically for clinics in low- and middle-income countries. We will describe the expected quality (clinical acceptability, efficiency gains) of these tools, as well as possible risks in deployment and how to mitigate them. Finally, we will describe lessons learned in clinical deployment.
Advances in artificial intelligence (AI) are going to affect all aspects of radiation therapy, including contouring, treatment planning, and quality assurance. This presentation will describe our efforts to develop and expand these tools specifically for clinics in low- and middle-income countries. We will describe the expected quality (clinical acceptability, efficiency gains) of these tools, as well as possible risks in deployment and how to mitigate them. Finally, we will describe lessons learned in clinical deployment.
Learning Objectives:
- To be able to describe how AI is likely to improve access to high-quality radiotherapy planning across the world.
- To understand risks when implementing AI into clinical practice, and possible ways to reduce them.
- To understand challenges in implementing these tools into clinical practice in LMICs.
Register here
https://iomp.us۱۹.list-manage.com/track/click?u=d۱۷ba۰۸۱۵۰۹۷۲۵۴ec۴da۸a۷۲b&id=b۲۴a۵۲۳۱ec&e=bf۳۵۴db۸f۱
(با VPN)
Moderator:
M. Mahesh, MS, PhD. Chair of Science Committee – IOMP
Speakers:
Laurence Court, PhD, University of Texas MD Anderson Cancer Center, USA
Barbara Marquez, University of Texas MD Anderson Cancer Center, USA
Christoph Trauernicht, PhD, Tygerberg Hospital / Stellenbosch University, South Africa
Biography:
Barbara Marquez, University of Texas MD Anderson Cancer Center, USA
Christoph Trauernicht, PhD, Tygerberg Hospital / Stellenbosch University, South Africa
Biography:
Laurence Court: Laurence leads a team who are focused on the development and clinical deployment of AI-based tools to support radiotherapy teams in low- and middle-income countries. Their flagship product is the Radiation Planning Assistant, which received FDA ۵۱۰(k) clearance in ۲۰۲۳, and is currently staring clinical use in South Africa.
Barbara Marquez: Barbara Marquez is a PhD candidate at the University of Texas MD Anderson Cancer Center. Her research leverages artificial intelligence to improve peer review of CT-based contours for radiotherapy in head & neck and gynecological cancers. Barbara is interested in the enhancement of the full value of physics in radiation oncology practice.
Chris Trauernicht: Christoph Trauernicht is the Head of the Medical Physics Division at Tygerberg Hospital, Cape Town, South Africa, and a Senior Lecturer at Stellenbosch University. He leads a team of five medical physicists, two radiographers and a mould room, together with a couple of medical physics clinical training posts.
Barbara Marquez: Barbara Marquez is a PhD candidate at the University of Texas MD Anderson Cancer Center. Her research leverages artificial intelligence to improve peer review of CT-based contours for radiotherapy in head & neck and gynecological cancers. Barbara is interested in the enhancement of the full value of physics in radiation oncology practice.
Chris Trauernicht: Christoph Trauernicht is the Head of the Medical Physics Division at Tygerberg Hospital, Cape Town, South Africa, and a Senior Lecturer at Stellenbosch University. He leads a team of five medical physicists, two radiographers and a mould room, together with a couple of medical physics clinical training posts.
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