Ehsan Adeli is an Assistant Professor from Stanford University, directing the Stanford Translational AI (STAI) in Medicine and Mental Health Lab. Ehsan is also a Co-Director of Stanford AGILE Consortium.Developing ICU Clinical Behavioral Atlas Using Ambient Intelligence and Computer VisionLatent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
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Novelty
Often as professional scientists who publish for a living, we have to face the question of novelty. As the questions we ask are often living in the liminal space of technology, clinical practice and social norms, it's not an easy task to determine what really novelty is. Yet if you take the comments of reviewers seriously as an early career researcher, you might get an imposter syndrome that everyone but you clearly understands what novelty is. We will have a deep discussion about how we can contextualize novelty within AI-READY Healthcare.
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Veronika Cheplygina: The many lives of public datasets
Veronika Cheplygina is a professor in the IT university of Copenhagen. She is focusing on making medical AI more open & inclusive. Veronika also does a series of interviews with researchers called "How I Fail".Copycats: the many lives of a publicly available medical imaging dataset
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Karim Lekadir: Health Equity in MICCAI
Karim Lekadir is an ICREA Research Professor in the Department of Mathematics and Computer Science at the University of Barcelona. He investigates new data science techniques for trustworthy and ethical artificial intelligence in medicine. He has been PI of many EU-funded projects, and was awarded an ERC Consolidator grant to investigate new AI techniques for resource-limited settings. Karim was the General Chair for the MICCAI 2024, that happened in Morocco.FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
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Zhongliang Jiang: Robotic Ultrasound
Zhongliang Jiang is leading the Robotics and Ultrasound Team at TU Munich, Germany. His research spans over medical robotics, robot learning, control and robotic ultrasound. Zhongliang's YouTube channel
Deep meaningful discussions for Knowledge dissemination and constructive arguments, with a shared mission about making Healthcare AI-ready.
I invite stakeholders such as clinicians, AI experts, industry personnel and regulatory personnel to talk about the translational aspects of AI research into patient care. Often we converse with my co-host Henry Krumb.
Italia