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.
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Maciej Mazurowski is an Associate Professor of Radiology, Electrical and Computer Engineering, Biostatistics and Bioinformatics, and Computer Science at Duke University. He is also the Scientific Director of the Duke Center for Artificial Intelligence in Radiology and the Director of Radiology Imaging at Duke AI Health. His interest includes domain…
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Professor Yiyu Shi, is a professor of Computer Science and Engineering at the University of Notre dam, USA. He is also a visiting scientist at Boston Children’s Hospital. His research focuses on sustainable computing. The importance of resource awareness in artificial intelligence for healthcare
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This episode is about our take on how to review well in MICCAI and related conferences, both for the reviewers and the meta reviewers.
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Hitesh Dave: The age of Computational Pathology
33:51
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Hitesh Dave is the Digital Pathology and AI Lead of Roche Diagnostics. Dr. Dave is a Global Change Leader, Chartered Scientist and Strategic management consultant. He will talk about how Roche is restructuring itself for the age of digital and computational pathology. The views shared or expressed here at the podcast are from Hitesh's experience on…
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Saad Nadeem is an assistant attending computer scientist at Memorial Sloan Kettering Cancer Center with dual appointments in the Departments of Medical Physics and Pathology. He is also an adjunct assistant professor in the Department of Applied Mathematics & Statistics at Stony Brook University. Saad focuses on multimodal and multiscale analysis o…
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MICCAI Student Board Mission The MICCAI Student Board (MSB) represents student interests within the MICCAI society, and aims to stimulate the involvement of students within the MICCAI community. The MSB enhances student networking in the community, engages students in the MICCAI society, and advises the MICCAI board on matters of relevance for stud…
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Islem Rekik: Graph Neural Nets for Brain Connectomics
58:39
58:39
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Islem Rekik is the Director of the Brain And SIgnal Research and Analysis (BASIRA) laboratory (http://basira-lab.com/) and an Associate Professor at Imperial College London (Innovation Hub I-X). Together with BASIRA members, she conducted more than 100 cutting-edge research projects cross-pollinating AI and healthcare —with a sharp focus on brain i…
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Akshay Chaudhari: LLMs for Clinical Text Summarization
53:36
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Akshay Chaudhari is an Assistant Professor in the Integrative Biomedical Imaging Informatics at the Department of Radiology in Stanford University, USA. He leads the Machine Intelligence in Medical Imaging research group and has a primary research interest at the intersection of artificial intelligence and medical imaging. He also serves as the Ass…
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Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready
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Prof. Rajendra Pratap Gupta is a leading public policy expert with over a decade of experience. Rajendra has worked with the World Economic Forum in the past & has served as an advisor to the Union Health Minister of India. He is focusing on designing digital health policies to make healthcare AI-ready.…
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H.R. Tizhoosh: Foundation models in Histopathology
50:12
50:12
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Prof. Hamid Tizhoosh explores the applications of artificial intelligence (AI) in medicine, particularly in medical image analysis and cross relations to other patient data such as molecular, laboratory and textual data. His research is currently focused on search and matching in archives of patient data.Foundation Models for Histopathology—Fanfare…
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S. Kevin Zhou: Building a Medical Time Machine
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44:55
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Prof. Kevin Zhou is a Distinguished Professor and Founding Executive Dean of School of Biomedical Engineering, University of Science and Technology of China (USTC). Before this, Dr. Zhou was a Principal Expert and a Senior R&D Director at Siemens Healthcare Research. He has been elected as a fellow of several top societies such as AIMBE, IEEE and M…
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Alexander Hann: AI for endoscopic imaging
46:02
46:02
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Alexander Hann is a gastroenterologist at Uniklinik Würzburg, Germany and holds a professorship for digital transformation in gastroenterology, which focuses on AI support for endoscopic imaging.
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Damini Dey is a professor in Biomedical Sciences at Cedars Sinai Medical center, Los Angeles, USA. Professor Dey focuses on automated derivation of imaging measures from noninvasive cardiac image data, clinical implementation of novel automated computer processing algorithms, and the application of these tools to solve key clinical problems. Her su…
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Enzo Ferrante is a Research Scientist at Universidad Nacional del Litoral in Santa Fe, Argentina. Enzo focuses on machine learning methods for biological and medical image analysis, including domain adaptation and segmentation with anatomical priors. Addressing fairness in artificial intelligence for medical imaging…
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Joe Lennerz: Berlin Declaration of Health Data Sharing
49:37
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Prof. Jochen Lennerz is the Medical Director of the Center for Integrated Diagnostics at the Massachusetts General Hospital, USA. He is a board-certified pathologist by training and has professorship appointments at Harvard medical School. Prof. Lennerz co-organized the Data4Health 2023 conference in Berlin with the health minister of Germany Prof.…
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Neel Dey: Invariances and Covariances of Medical Imaging
44:08
44:08
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Neel Dey is a postdoctoral researcher at MIT CSAIL in Polina Golland’s Medical Vision Group, where he is building dense representation learning and domain randomization methods for data and compute-efficient learning tasks. Neel got his Ph.D. from New York University under Guido Gerig where he worked on generative models and inverse problems in med…
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Maria Zuluaga is an assistant professor in the Data Science department at EURECOM, France. Additionally Maria holds a junior chair at the 3IA Institute Côte d’Azur and also a visiting Senior Lecturer at King’s College London. She focuses on machine learning techniques that can be safely deployed in high risk domains, such as healthcare, by addressi…
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Dr. Heather Couture is a Consultant, a Researcher and a Writer. Heather is a consultant and owner of Pixel Scientia Labs. She works on a variety of interdisciplinary R&D projects and regularly blogs about the advances of AI in LinkedIn.
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Pieter De Backer: AI-assisted Surgical Training
51:53
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Pieter De Backer leads the Innotech department at Orsi, a training and innovation centre in minimal invasive & robotic surgery located in Gent, Belgium. Pieter's team focuses primarily on developing AI based surgical systems and patient-specific 3D modeling.
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Camila Gonzalez: Medical Continual Learning
53:16
53:16
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Camila Gonzalez is a PostDoc in Stanford University, USA. Camila finished her PhD on medical continual learning in TU Darmstadt in March 2023, while accumulating multiple awards along the process. She is also the outgoing president of MICCAI Student Board, presiding it for the last 2 years. Lifelong nnU-Net: a framework for standardized medical con…
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Shek Azizi: Google DeepMind's Foundational Medical Models
49:41
49:41
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Shek Azizi is a senior research scientist at Google DeepMind. Her research is focused on translational AI with tangible clinical impact. She designs foundation models for biomedical applications. She has led the moonshot project behind Med-PaLM, Med-PaLM 2 and Med-PaLM M. Large Language Models Encode Clinical Knowledge…
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Daniel Hashimoto is an assistant Professor of Surgery at the Hospital of the University of Pennsylvania, USA. Dan has developed multiple computer vision algorithms for the analysis of surgical video, led international consensus on defining ground truth for the annotation of surgical video, and worked to define metrics to assess performance of AI al…
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Prof. Stephen Gilbert is a professor in Medical Device Regulatory Science at the Else Kröner Fresenius Center for Digital Health in TU Dresden, Germany. His research goal is to advance regulatory requirements, especially for software as a medical device and artificial intelligence in medical devices. Papers we discussed: Large language model AI cha…
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Prof. Nitika Pai is an Associate Professor in the Department of Medicine at the McGill University, Canada. Her global implementation research program in Canada, India and South Africa is primarily focused on point-of-care diagnostics for HIV and associated co-infections. Her research informs domestic and global policy on point-of-care diagnostics.…
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Prof. Swapnil Rane is a Pathologist by training, and currently a professor in Tata Memorial Center, Mumbai, India. He is instrumental in bringing forward the AI and digital pathology research from India, especially the ongoing project of Indian Image BioBank.
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Dr. Ishita Barua leads AI in healthcare at Deloitte, with a focus on improving equity and outcomes in digital health. She is a medical doctor and PhD by training with expertise in application and clinical validation of AI in Medicine. Ishita has won numerous awards including Top 50 women in tech and top 30 women in Norway shaping the field of artif…
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Prof. Raphael Sznitman is the Director of the ARTORG center for Biomedical Engineering at the University of Bern (Switzerland). Raphael is interested in computational vision, probabilistic methods and statistical learning, applied to applications in medical imaging.
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Instead of having a guest, Anirban and Henry just chit chats about the background stories, lessons learned, our ever-evolving thoughts etc. in the 50th episode of AI-ready Healthcare.
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Nikos Paragios: AI-guided Precision Radiotherapy
58:43
58:43
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Prof. Nikos Paragios is a senior researcher focusing on computer vision and medical imaging. Nikos is a professor of Computer Science and Applied mathematics at CentraleSupélec, an affiliated scientific leader at INRIA while serving as the editor in chief of the Computer Vision and Image Understanding Journal. Nikos is also the founder and CEO of T…
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Lene Topp is passionate about designing and delivering training and other capacity building activities primarily for researchers looking to increase the impact of their research in policy sectors. Until February 2023, she worked in the European Union's Joint Research Center focusing on the "Science4Policy" gap. Among many other things, she led the …
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Stefanie Speidel: Simulation in Surgical Data Science
37:51
37:51
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Prof. Stefanie Speidel is a full professor for “Translational Surgical Oncology” and director at the National Center for Tumor Diseases Dresden since 2017. She is an elected board member of the MICCAI society. She is well-know for her research on Surgical Data Science, data-driven surgical training and context-aware human-machine collaboration in t…
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Sotirios Tsaftaris: Causal Representation Learning
51:24
51:24
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Prof. Sotirios Tsaftaris is the Chair in Machine Learning and Computer Vision at the University of Edinburgh, UK. He also holds the Canon Medical/Royal Academy of Engineering Research Chair in Healthcare AI. He is also a Turing Fellow with the Alan Turing Institute and an ELLIS Fellow.
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Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD
52:43
52:43
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Pascal Wettstein is the owner of QDC GmbH. He is the self-proclaimed "SME safari guide in the regulatory jungle." I highly recommend his rather sarcastic LinkedIn posts on European Medical Device Regulations. Beyond Europe, he has extensive knowledge about the 510K regulations in FDA.
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Sharib Ali: AI-powered Endoscopic Image Analysis
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Sharib Ali is the lecturer at School of Computing in the University of Leeds, UK. He has a PhD from France and spent time as a PostDoc in Germany as well as in Oxford before starting as the PI in Leeds. He is well-known for his research on AI for analyzing Endoscopic images. The two articles we discussed in this episode: 1. Where do we stand in AI …
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Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy
54:28
54:28
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Prof. Jocelyne Troccaz is a legendary figure in image-guided medical robotics, with a career spanning across four decades. She covered a broad spectrum of applications including urology, radiotherapy, cardiac surgery, orthopedics to name a few. She won numerous awards. Some highlights include MICCAI 2022 enduring impact award and the highest French…
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Monir El Azzouzi: Medical Device Regulation of AI SaMD
1:04:59
1:04:59
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Monir El Azzouzi created the Easy Medical Device ecosystem, that includes blogs, podcasts, YouTube videos and regular updates in LinkedIn. His mission is to make the process of bringing Compliant Medical Device to the Market easier. He has a deep understanding of the Medical Device Regulations at European Union. Easy Medical Device: https://easymed…
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Monika Sonu: Frugal digital health innovation
53:17
53:17
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Dr. Monika Sonu is a physician by training and Digital Health Entrepreneur by passion. She is the CEO of Health Innovation Toolbox. Monika drives digitisation of the operating models, functions and workflows within hospitals. She is also interested in creating better patient experience. She is named as HIMSS Future50 Innovation Leader in 2021.…
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Purang Abolmaesumi: Telehealth = POCUS+AI
50:25
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Professor Purang Abolmaesumi is a Professor in University of British Columbia. He is very well-known within the MICCAI community for his research on Ultrasound imaging. Purang won numerous awards and honors. Some highlights would include being the 2020 MICCAI fellow and winning the Killam faculty research prize.…
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Joseph Kvedar: Nurturing Digital Health through Nature
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47:29
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Prof. Joseph Kvedar is THE expert in terms of telehealth and digital health. He is leveraging information technology, such as cell phones, computers, networked devices and remote health monitoring tools to improve care delivery. He is a Professor of Dermatology at Harvard Medical School, and vice president of Partners healthcare. He is also the edi…
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Andrew Janowczyk: Quality Assurance in histopathology images
1:03:00
1:03:00
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Andrew Janowczyk is an assistant professor at Emory University, USA. Andrew’s research focuses on applying computer vision and machine learning algorithms to digital pathology. His key area of expertise is in leveraging deep learning to build computational models for aiding pathologists in many common tasks, such as disease detection and cancer gra…
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Robert MacDougall: Quantivly's digital twin of radiology operations
38:36
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Robert MacDougall is the co-founder and current VP of Product and Customer Success at Quantivly. Quantivly is a start-up that is building the digital twin of radiology operations.
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Daniel Rückert: Federated Disentanglement
52:26
52:26
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Professor Rückert’s field of research is the area of Artificial Intelligence (AI) and Machine Learning and their application to medicine and healthcare. His research focuses on (1) the development of innovative algorithms for biomedical image acquisition, image analysis and image interpretation – especially in the areas of image reconstruction, reg…
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Jakob Nikolas Kather: Swarm intelligence for Oncology
43:58
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Jakob Nikolas kather is a professor at Technical University Dresden, leading the department of Clinical Artificial Intelligence at Else Kroener Fresenius Center for Digital Health. As a physician, he specializes in Internal Medicine and gastrointestinal oncology. As a researcher, he focuses on deep learning for immunotherapy biomarkers in cancer. S…
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Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
55:19
55:19
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Prateek Prasanna is an assistant professor in the Biomedical Informatics department at Stony Brook University, New York. He directs the Imaging Informatics for Precision Medicine Lab. His research interests lie at the intersection of medical image analysis and machine learning. We talked about the following papers: 1. Temporal Context Matters: Enha…
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Sailesh Conjeti is on a mission to bring AI-based solutions to Healthcare and translating them to clinical use to make a difference. He is the Functional Lead of Data Science at Siemens Healthineers. You can read his blogposts at https://www.saileshconjeti.com/blog.
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Ismini Lourentzou is an Assistant Professor of Computer Science at Virginia Tech. Prior to VT, she spent a year as research scientist (Research Staff Member) at IBM Almaden Research Center, working on Machine Learning, Natural Language Processing and Information Retrieval problems. Her research interests are broadly defined at the intersection of D…
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Matthias Unberath: Forgotten Humans of Explainable AI
40:04
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Mathias Unberath is an assistant professor in the Department of Computer Science, and is affiliated with the Laboratory for Computational Sensing and Robotics and the Malone Center for Engineering in Healthcare. With his group—the Advanced Robotics and Computationally AugmenteD Environments (ARCADE) Lab—he advances healthcare by creating collaborat…
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Taufique Joarder: Policy Questions of Healthcare AI
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Taufique Joarder is a health policy and systems researcher and a university faculty. He has thirteen years of national and international experience and a doctorate in public health with expertise in health policy and systems research, teaching and training as well as extensive publishing. His background also includes higher leadership positions in …
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Stephen Aylward: The case of Open-source software
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Stephen Aylward, Ph.D., is the senior director of strategic initiatives and founder of Kitware’s North Carolina office. He helps drive multiple research and open source software development projects at Kitware. Over the past 25+ years, Stephen has conducted medical image analysis research covering nearly every aspect of health care, including scree…
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Lena Maier-Hein: What does it mean to win a Biomedical Challenge?
47:48
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Lena Maier-Hein is the head of the Computer Assisted Medical Interventions (CAMI) department at the German Cancer Research Center (DKFZ) in Heidelberg, Germany. Her research focuses on Surgical Data Science and rankings of biomedical challenges.
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