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AI-ready Healthcare

AI-ready Healthcare

By Anirban Mukhopadhyay, Henry Krumb

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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Qi Dou: Federated Learning for radiology

AI-ready HealthcareNov 02, 2021

00:00
50:15
Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

Rajendra Pratap Gupta: Designing policies to make Healthcare AI-ready

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.

Apr 15, 202442:01
H.R. Tizhoosh: Foundation models in Histopathology
Apr 08, 202450:12
S. Kevin Zhou: Building a Medical Time Machine

S. Kevin Zhou: Building a Medical Time Machine

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 MICCAI. Prof. Zhou serves the MICCAI society as a board member and currently focuses on generative AI for medical imaging.

Apr 02, 202444:56
Alexander Hann: AI for endoscopic imaging

Alexander Hann: AI for endoscopic imaging

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.

Mar 26, 202446:03
Damini Dey: Cardiology AI

Damini Dey: Cardiology AI

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 success stories include QFAT and AutoPlaque softwares.

Mar 19, 202438:25
Enzo Ferrante: Fairness in Medical AI
Mar 12, 202445:52
Joe Lennerz: Berlin Declaration of Health Data Sharing
Dec 19, 202349:38
Neel Dey: Invariances and Covariances of Medical Imaging
Dec 12, 202344:08
Maria Zuluaga: Trustworthy Medical AI

Maria Zuluaga: Trustworthy Medical AI

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 addressing data complexity, low tolerance to errors and poor reproducibility.

From Accuracy to Reliability and Robustness in Cardiac Magnetic Resonance Image Segmentation: A Review

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

Dec 05, 202342:34
Heather Couture: Oncopathology AI

Heather Couture: Oncopathology AI

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.

Nov 28, 202339:17
Pieter De Backer: AI-assisted Surgical Training

Pieter De Backer: AI-assisted Surgical Training

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.

Nov 21, 202351:54
Camila Gonzalez: Medical Continual Learning
Nov 14, 202353:16
Shek Azizi: Google DeepMind's Foundational Medical Models
Nov 07, 202349:41
Dan Hashimoto: Making surgery AI-ready

Dan Hashimoto: Making surgery AI-ready

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 algorithms on surgical tasks. His work has been published in the New England Journal of Medicine, Nature Biotechnology, Annals of Surgery, and other journals. He is editor of the textbook Artificial Intelligence in Surgery: Understanding the Role of AI in Surgical Practice. He is also heavily involved in MICCAI society with a focused attention to CLINICCAI.

Sep 04, 202352:56
Stephen Gilbert: AIaMD regulations
Aug 28, 202301:16:17
Nitika Pai: Global Digital Health

Nitika Pai: Global Digital Health

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.

Aug 21, 202357:36
Swapnil Rane: Indian Image BioBank

Swapnil Rane: Indian Image BioBank

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.

Aug 14, 202352:20
Ishita Barua: Gender gap in health data

Ishita Barua: Gender gap in health data

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 artificial intelligence.

Aug 07, 202353:27
Raphael Sznitman: AI-powered Eye Surgery

Raphael Sznitman: AI-powered Eye Surgery

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.

Jul 31, 202347:04
Nifti 50

Nifti 50

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.

Jul 24, 202301:06:34
Nikos Paragios: AI-guided Precision Radiotherapy

Nikos Paragios: AI-guided Precision Radiotherapy

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 TheraPanacea, provider of AI-powered software for more efficient radiotherapy workflow.

May 01, 202358:43
Lene Topp: Science4Policy
Apr 24, 202342:11
Stefanie Speidel: Simulation in Surgical Data Science

Stefanie Speidel: Simulation in Surgical Data Science

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 the operating room.

Apr 17, 202337:52
Sotirios Tsaftaris: Causal Representation Learning

Sotirios Tsaftaris: Causal Representation Learning

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. 

Apr 10, 202351:24
Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD

Pascal Wettstein: FDA or MDR? Where should SMEs go for their AI SaMD

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.

Apr 04, 202352:44
Sharib Ali: AI-powered Endoscopic Image Analysis
Mar 27, 202349:53
Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy

Jocelyne Troccaz: MICCAI impacting Prostrate Biopsy

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 decoration (Légion d’Honneur).

Mar 21, 202354:28
Monir El Azzouzi: Medical Device Regulation of AI SaMD

Monir El Azzouzi: Medical Device Regulation of AI SaMD

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://easymedicaldevice.com/home/


Dec 27, 202201:04:60
Monika Sonu: Frugal digital health innovation

Monika Sonu: Frugal digital health innovation

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.

Dec 20, 202253:18
Purang Abolmaesumi: Telehealth = POCUS+AI

Purang Abolmaesumi: Telehealth = POCUS+AI

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.

Dec 13, 202250:26
Joseph Kvedar: Nurturing Digital Health through Nature

Joseph Kvedar: Nurturing Digital Health through Nature

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 editor-in-chief of npj Digital Medicine.

Dec 06, 202247:29
Andrew Janowczyk: Quality Assurance in histopathology images

Andrew Janowczyk: Quality Assurance in histopathology images

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 grading. 

Nov 29, 202201:03:01
Robert MacDougall: Quantivly's digital twin of radiology operations
Nov 22, 202238:37
Daniel Rückert: Federated Disentanglement
Nov 15, 202252:27
Jakob Nikolas Kather: Swarm intelligence for Oncology

Jakob Nikolas Kather: Swarm intelligence for Oncology

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.

Swarm learning for decentralized artificial intelligence in cancer histopathology

Sep 05, 202243:59
Prateek Prasanna: Augmenting Radiologist's Knowledge into AI
Aug 30, 202255:20
Sailesh Conjeti: MLOps for Healthcare AI

Sailesh Conjeti: MLOps for Healthcare AI

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.


Aug 23, 202247:48
Ismini Lourentzou: Chest ImaGenome

Ismini Lourentzou: Chest ImaGenome

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 Data Science, Big Data, Machine Learning, and Artificial Intelligence. 

Chest ImaGenome Dataset for Clinical Reasoning: https://openreview.net/forum?id=H-d5634yVi

Aug 15, 202230:17
Matthias Unberath: Forgotten Humans of Explainable AI

Matthias Unberath: Forgotten Humans of Explainable AI

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 collaborative intelligent systems that support clinical workflows. Through synergistic research on imaging, computer vision, machine learning, and interaction design, he builds human-centered solutions that are embodied in emerging technology such as mixed reality and robotics.

Pre-print of the paper we discussed: https://arxiv.org/pdf/2112.12596v1.pdf

Aug 09, 202240:05
Taufique Joarder: Policy Questions of Healthcare AI

Taufique Joarder: Policy Questions of Healthcare AI

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 NGOs/CSOs, faculty positions, policy-relevant engagements in Bangladesh and abroad, and extensive media involvement (as an expert, guest discussant, moderator, and TV anchor). 

Aug 02, 202248:02
Stephen Aylward: The case of Open-source software

Stephen Aylward: The case of Open-source software

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 screening, diagnosis, treatment planning, guidance, and outcome assessment for mammography, neurosurgery, partial liver transplantation, retinopathy of prematurity, stroke, traumatic brain injury, pre-clinical cancer studies, and others. He has also been instrumental in the creation of the Insight Toolkit (ITK), major updates to 3D Slicer, and the development of new technologies and the VTK.js library for web-based scientific visualization.

Jul 26, 202243:36
Lena Maier-Hein: What does it mean to win a Biomedical Challenge?

Lena Maier-Hein: What does it mean to win a Biomedical Challenge?

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.

Apr 12, 202247:48
Russ Taylor: The role of AI in Robotic Surgery

Russ Taylor: The role of AI in Robotic Surgery

Russ Taylor is the father of robotic surgery. Hi is the John C. Malone Professor in the Department of Computer Science, and the director of the Laboratory for Computational Sensing and Robotics. His research has focused on all aspects of computer-integrated interventional medicine. Broadly, this research has included:

  • Medical robotics
  • Medical imaging & modeling and
  • Complete systems for surgical assistance, image-guided surgery, and "Surgical CAD/CAM".

An underlying theme has been the basic insight that information-based technologies can have just as profound an impact on computer-integrated medicine as it has had on computer-integrated manufacturing.

Apr 05, 202245:06
Ilker Hacihaliloglu: Ultrasound for all

Ilker Hacihaliloglu: Ultrasound for all

Ilker is interested in the extraction of relevant information from three dimensional (3D) medical images by developing state of the art computational algorithms for image guided surgery and therapy applications. The main objective of his research is to study and model medical procedures and introduce advanced computer integrated solutions to improve their quality, efficiency, and safety.

Mar 29, 202258:44
Frank Xu: Baidu's AI, WHO's Digital Health & other stories

Frank Xu: Baidu's AI, WHO's Digital Health & other stories

Frank (Yanwu) Xu, is an Intelligent Healthcare Scientist (research lead) at Baidu, an Adjunct Professor at Ningbo Institute of Materials Technology & Engineering, the Chinese Academy of Sciences (CAS), and an Adjunct Principal Investigator at Singapore Eye Research Institute. Frank is also serving the World Health Organization (WHO) as a technical advisory group member of Digital Health and an expert group member of Data Principles and Sharing Policies.

Mar 22, 202256:60
Lorenzo Righetto: Publishing MICCAI research into Nature Communications

Lorenzo Righetto: Publishing MICCAI research into Nature Communications

Lorenzo Righetto is an associate Editor of Nature Communications where he handles manuscripts in the area of digital medicine and computational health. Lorenzo joined Nature Communications in January 2020. Lorenzo is based in the London office.

Mar 15, 202237:21
Karsten Ridder: Communication is key for AI-ready Healthcare

Karsten Ridder: Communication is key for AI-ready Healthcare

Karsten Ridder is a practicing radiologist from Dortmund, Germany with a special focus on Women's Health Imaging and Cardiovascular Imaging. He received numerous awards for his clinical research and innovation, including German Medical Award for Innovation in 2021. 

Mar 08, 202253:50
Shuo Li: Will MICCAI 2022 be virtual?

Shuo Li: Will MICCAI 2022 be virtual?

Prof. Shuo Li is the Founding Scientific Director of Digital Imaging Group at London, Canada. He is also the general chair of MICCAI 2022 that will happen in Singapore.

Mar 01, 202249:10
Julia Schnabel: MICCAI goes to Africa

Julia Schnabel: MICCAI goes to Africa

Julia Schnabel is the Professor for Computational Imaging and AI in Medicine at TUM (TUM Liesel Beckmann Distinguished Professorship), jointly with Helmholtz Center Munich (Helmholtz Distinguished Professorship). Her research focuses on intelligent imaging solutions and computer aided evaluation, including complex motion modelling, image reconstruction, image quality control, image segmentation and classification, applied to multi-modal, quantitative and dynamic imaging. She is the co-general chair of MICCAI 2024, the first MICCAI in Africa. She often Tweets @ja_schnabel.

Dec 07, 202149:25
Anant Madabhushi: When MICCAI scientist meets Real Clinicians

Anant Madabhushi: When MICCAI scientist meets Real Clinicians

Anant Madabhushi is the Donnell Institute Professor of Biomedical Engineering at Case Western Reserve University (CWRU) in Cleveland and director of the university's Center for Computational Imaging and Personalized Diagnostics (CCIPD). He is a Research Scientist at the Louis Stokes Cleveland Veterans Administration (VA) Medical Center and has affiliate appointments both at University Hospitals and Cleveland Clinic. He holds secondary appointments in the departments of Urology, Radiology, Pathology, Radiation Oncology, General Medical Sciences, Computer & Data Sciences, and Electrical, Computer and Systems Engineering at CWRU. We talked about his research on translation of AI to clinical oncology. He tweets regularly @anantm.

Nov 30, 202150:24