PT Inquest is an online journal club. Hosted by Jason Tuori, Megan Graham, and Chris Juneau, the show looks at an article every week and discusses how it applies to current physical therapy practice.
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Контент предоставлен Oncology Times. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Oncology Times или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
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Artificial Intelligence Tool Predicts Postoperative Radiotherapy Lymphedema
Manage episode 412750793 series 1021077
Контент предоставлен Oncology Times. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Oncology Times или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
Artificial intelligence is being harnessed by a team of researchers at Leicester University in the United Kingdom to predict the risk of lymphedema (and potentially other toxicities) from the use of postoperative radiation therapy for breast cancer.
The 2024 European Breast Cancer Conference heard the latest news on an artificial intelligence tool that promises to help cancer clinicians individualize radiotherapy regimens after surgery to minimize toxicity.
Tim Rattay, MBChB, PhD, Associate Professor in Breast Surgery in the Leicester Cancer Research Centre at the University of Leicester and Consultant Breast Surgeon at the University Hospitals of Leicester in the UK, told the conference about his group’s machine-learning algorithm, PRE-ACT (Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification), that predicts post-operative lymphedema.
After reporting his research in Milan, Rattay called into the OncTimesTalk studio to give Peter Goodwin the details.
…
continue reading
The 2024 European Breast Cancer Conference heard the latest news on an artificial intelligence tool that promises to help cancer clinicians individualize radiotherapy regimens after surgery to minimize toxicity.
Tim Rattay, MBChB, PhD, Associate Professor in Breast Surgery in the Leicester Cancer Research Centre at the University of Leicester and Consultant Breast Surgeon at the University Hospitals of Leicester in the UK, told the conference about his group’s machine-learning algorithm, PRE-ACT (Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification), that predicts post-operative lymphedema.
After reporting his research in Milan, Rattay called into the OncTimesTalk studio to give Peter Goodwin the details.
159 эпизодов
Manage episode 412750793 series 1021077
Контент предоставлен Oncology Times. Весь контент подкастов, включая эпизоды, графику и описания подкастов, загружается и предоставляется непосредственно компанией Oncology Times или ее партнером по платформе подкастов. Если вы считаете, что кто-то использует вашу работу, защищенную авторским правом, без вашего разрешения, вы можете выполнить процедуру, описанную здесь https://ru.player.fm/legal.
Artificial intelligence is being harnessed by a team of researchers at Leicester University in the United Kingdom to predict the risk of lymphedema (and potentially other toxicities) from the use of postoperative radiation therapy for breast cancer.
The 2024 European Breast Cancer Conference heard the latest news on an artificial intelligence tool that promises to help cancer clinicians individualize radiotherapy regimens after surgery to minimize toxicity.
Tim Rattay, MBChB, PhD, Associate Professor in Breast Surgery in the Leicester Cancer Research Centre at the University of Leicester and Consultant Breast Surgeon at the University Hospitals of Leicester in the UK, told the conference about his group’s machine-learning algorithm, PRE-ACT (Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification), that predicts post-operative lymphedema.
After reporting his research in Milan, Rattay called into the OncTimesTalk studio to give Peter Goodwin the details.
…
continue reading
The 2024 European Breast Cancer Conference heard the latest news on an artificial intelligence tool that promises to help cancer clinicians individualize radiotherapy regimens after surgery to minimize toxicity.
Tim Rattay, MBChB, PhD, Associate Professor in Breast Surgery in the Leicester Cancer Research Centre at the University of Leicester and Consultant Breast Surgeon at the University Hospitals of Leicester in the UK, told the conference about his group’s machine-learning algorithm, PRE-ACT (Prediction of Radiotherapy side Effects using explainable AI for patient Communication and Treatment modification), that predicts post-operative lymphedema.
After reporting his research in Milan, Rattay called into the OncTimesTalk studio to give Peter Goodwin the details.
159 эпизодов
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