EUSOMII on AIR
By EUSOMII
EUSOMII on AIRDec 11, 2023
Season 2, Episode 5: The Future Now - Breast Imaging AI and the Ethics of Innovation with Professor Matthias Dietzel and Professor Pascal Baltzer
Dive into 'The Future Now - Breast Imaging AI and the Ethics of Innovation' with Prof. Matthias Dietzel, MD, MHBA and Prof. Pascal Baltzer, MD in our latest podcast episode. We explore the four radiologist personas - the hunter, the intellectual, the confabulator, and the pragmatist - and their interaction with AI in breast imaging.
Discover the latest breakthroughs and ethical challenges, including the intriguing concept of AI as an autonomous legal entity.
Join us for an insightful journey into the evolving world of radiology and AI.
Season 2, Episode 4: Data Science Unleashed: Insights from Felipe Kitamura on ChatGPT and Kaggle Mastery
Join us for our latest episode: 'Data Science Unleashed: Insights from Felipe Kitamura on ChatGPT and Kaggle Mastery.' Dive deep into the fascinating intersection of radiology, AI, and data science. Felipe Kitamura, renowned neuroradiologist and Kaggle master, shares valuable insights into the use of large language models, the future of AI in healthcare, and Kaggle's impact on data science. Don't miss out on this captivating dialogue! Tune in now.
Season 2, Episode 3: Bridging the AI Gap in Healthcare: Martin Willemink on Data, Segmed, and Transformer Networks
In this episode, we talk with Martin Willemink, a leading voice in AI and Radiology. We dig into important topics such as dealing with data management issues in healthcare, and how Segmed is helping to deliver top-quality data. Additionally, we'll discuss Martin's latest work on using transformer networks in medical imaging and chat about what this exciting technology could mean for the future. Join us!
Season 2, Episode 2: Meet the EuSoMII Young Club: The clinicians experience
In this episode, we interview EuSoMII Young Club members, Dr Tugba Akinci D'Antonoli and Dr Renato Cuocolo, to talk about the impact of AI on clinical practice, the radiology curriculum, and key learnings from the ECR 2023 meeting. Tune in for valuable information on AI and the latest developments in the field!
Season 2, Episode 1: Practical experience with artificial intelligence in clinical radiology:The ESR survey - Interview with Prof. Laure Fournier
Discussion on the results of a recent survey performed by the European society of Radiology on the usage and perception of AI-based algorithms in the radiology field, entitled “Current practical experience with artificial intelligence in clinical radiology: a survey of the European Society of Radiology”, published during the June 2022 edition of Insights Into Imaging .
Episode 6, Jan. 2021 - Interview with Prof. Emanuele Neri, co-founder of EuSoMII
In this first 2021 episode of EuSoMII on Air, Shah Islam and Merel Huisman interview Prof. Emanuele Neri (University of Pisa), who is one of the co-founders of EuSoMII about the early days of EuSoMII and the way imaging informatics was introduced as a well-defined domain of expertise in the European landscape of radiology. Prof. Neri also tells us about the significance and value of the ongoing A.I. revolution that is taking place within the profession of radiology, and the importance of including basic knowledge about A.I. into the European Training Curriculum, for training the new generation of radiologists.
Episode 5 - Why radiologists should be bilingual when using A.I.
EuSoMII talks with Matthew Lungren, Associate Professor at Stanford University Medical Center and co-director of Stanford Center of Artificial Intelligence in Medicine and Imaging (AIMI).
- Interviewers: Erik Ranschaert and Merel Huisman from EuSoMII - September 14, 2020
- Topic: Importance of knowledge of fundamental principles of AI for both radiologists and radiology residents (trainees).
Episode 4 - The Medical Doctor as Data Scientist. Interview with dr. Bart-Jan Verhoeff.
He trained himself in machine learning to develop an algorithm able to predict the likelihood of re-uptake of his patients. Verhoeff emphasizes the usefulness of machine learning as a method of using patient data intelligently. By using models based on data from the Electronic Patient Rrecord (EPR), doctors can make predictions, so that they can improve work processes, and improve the quality of patient care.
Please stay tuned and listen to this interesting 30 minute interview.
Episode 3 - Interview with Jonathan Berte, CEO of Robovision
Jonathan Berte is the founder and CEO of Robovision, a turnkey AI solution provider, with a powerful deep learning platform called RVAI.
The company is specialized in deep learning-based machine vision and robot programming and is focused on the design, development and deployment of complete automation processes, where illumination, digital cameras, robots and artificial intelligent agents play an important role.
Since recently the company has also become active in the medical field for labeling radiological images in the development of DL algorithms. The RVAI platform is not only able of speeding up the labeling process thanks its learning ability making it possible to automise the segmentation process, but it also allows its users including radiologists without any deep learning software skills to develop algorithms
Please follow us in this exciting interview, which will undoubtedly open the eyes of those who are eager to learn more about what the future can and will bring us.
Episode 2 - ECR 2019 Interview with Prof. Bram van Ginneken
ECR 2019 Interview with Prof. Bram van Ginneken about A.I. for medical imaging. He explains his vision as physicist on the new developments in deep learning, and explains the reasons why radiologists should adapt and address the upcoming changes in their profession as a team.
Episode 1 - ECR 2019 Interview with dr. Hugh Harvey
For this first podcast during the ECR 2019 meeting in Vienna, we were able to interview Hugh Harvey about Artificial Intelligence in radiology, Listen to this 15 minute fascinating discussion about Artificial Intelligence in radiology: how should radiologists use it, how will the market develop, and what should radiologists do? Please share it if you like it.