by Ko-Op Media
Prof Michelle Leech, Professor in Radiation Therapy at Trinity College Dublin talks to guests about generative AI in radiation oncology education. Opportunities and pitfalls are discussed as well as the potential impact of generative AI on patient education. Contact: @leechmMichelle @TCDRadTHer
Language
🇺🇲
Publishing Since
5/7/2024
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
May 17, 2024
<p>In this podcast, Prof. Michelle Leech, Professor in Radiation Therapy at Trinity College Dublin speaks to three of her undergraduate students, Rahaf El-Saleh, Hannah McCauley and Shaun Tynan about their perceptions of generative AI in third level education, whether it has a place and how it impacts on their learning experience.</p>
May 7, 2024
<p>In this podcast, Prof. Michelle Leech, Professor in Radiation Therapy at Trinity College Dublin speaks to Clinical Prof. Sandra Turner, Radiation Oncologist at Westmead Hospital and University of Sydney and Associate Professor David Kok from the Peter MacCallum Cancer Centre, Monash and Melbourne Universities about their experience in using generative AI in radiation oncology education. Opportunities and pitfalls are discussed as well as the potential impact of generative AI on patient education. </p> <p> </p>
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
Prof Michelle Leech, Professor in Radiation Therapy at Trinity College Dublin talks to guests about generative AI in radiation oncology education. Opportunities and pitfalls are discussed as well as the potential impact of generative AI on patient education.
Contact: @leechmMichelle @TCDRadTHer
This podcast updates weekly.
This podcast is available on 7 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
Information about guest appearances is not available.
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.