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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Healthcare AI in Review is podcast focused on new applications of Gen AI in healthcare. This series is produced by Slice of Healthcare with Missy Krasner as the main host.
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New podcast weblog“AI Revolution in Healthcare: A Regulatory Perspective with Dr. Nirdosh Jagota” is your gateway to understanding the intersection of artificial intelligence and healthcare regulation. Hosted by Dr. Nirdosh Jagota—a seasoned expert with over 30 years in the biotech and pharmaceutical sectors—this podcast explores how AI is reshaping every aspect of healthcare, from drug discovery to patient care, and the regulatory frameworks that support this transformation. In each episode ...
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Bringing doctors and developers together to unlock the potential of AI in healthcare. Together, we can build models that matter. 🤖👨🏻⚕️ Hello! We are Dev & Doc, Zeljko and Josh :) Josh is a training Neurologist in the NHS, and AI researcher in St Thomas' hospital and King's College Hospital. Zeljko is an AI engineer, and post-doctoral researcher in King's College London, as well as a CTO for a natural language processing company. ------------- Substack- https://aiforhealthcare.substack.com/ ...
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Drew Williamson: The PathChat Story
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Drew Williamson is a board certified pathologist who is focusing on pathology AI. Drew is part of the Emory Empathetic AI for Health Institute and the AI.Humanity initiative at Emory University, Atlanta, USA. We will hear all about his exciting research on clinical translation of Pathology AI. A multimodal generative AI copilot for human pathology…
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#5 - Bevey Miner, EVP Healthcare Strategy & Policy at Consensus Cloud Solutions
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Welcome to Healthcare: AI In Review! Our guest: Bevey Miner, EVP Healthcare Strategy & Policy at Consensus Cloud Solutions Moderated By Missy Krasner, Gen AI Investor/Board Advisor In this episode, we discussed: Bevey Miner's Expertise: EVP Healthcare Strategy & Policy at Consensus Cloud Solutions, discussing the transformative impact of AI on unst…
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Predetermined Change Control Plans: Managing AI/ML Evolution in Medical Devices
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In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores the innovative concept of Predetermined Change Control Plans (PCCPs) for AI and machine learning-enabled medical devices. PCCPs offer a regulatory solution to the challenge of managing evolving AI systems that learn and adapt over time. Dr. Jagota …
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#4 - Fawad Butt, Founder & CEO at Penquin Ai
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Welcome to Healthcare: AI In Review! Our guest: Fawad Butt, Founder & CEO at Penquin Ai Moderated By Missy Krasner, Gen AI Investor/Board Advisor In this episode, we discussed: Fawad Butt's Background: Former Chief Data Officer at Optum and UnitedHealthcare, now leading Penguin AI. Penguin AI Launch: Emerging from stealth mode to tackle administrat…
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#2 - Nicole Bell, Chief Commercial Officer at Curai Health
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Welcome to Healthcare: AI In Review! Our guest: Nicole Bell, Chief Commercial Officer at Curai Health Moderated By Missy Krasner, Gen AI Investor/Board Advisor In this episode, we discussed: Nicole Bell shares her career journey and her work at Curai Health. Curai Health’s AI-driven care model supports longitudinal primary care. Transitioning from …
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#3 - Patrick Hawthorne, SVP Pharmacy Network Partners at MedAdvisor Solutions US
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Welcome to Healthcare: AI In Review! Our guest: Patrick Hawthorne, SVP Pharmacy Network Partners at MedAdvisor Solutions US Moderated By Missy Krasner, Gen AI Investor/Board Advisor In this episode, we discussed: MedAdvisor's Role in Medication Adherence: Patrick Hawthorne explains MedAdvisor's omnichannel tactics for improving patient adherence. A…
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Jayashree kalpathy Cramer: Eye AI
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Jayashree kalpathy Cramer is the chief of the Division of Artificial Medical Intelligence in Ophthalmology at the University of Colorado (CU) School of Medicine. Jayashree is focusing on translational artificial intelligence (AI) for effective patient care practices at the Sue Anschutz-Rodgers Eye Center.…
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Randy Ellis: Surgical AI in the Orthopaedics
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Professor Randy Ellis is a legendary figure within the computer-assisted orthopedic surgery community. His primary appointment is in the School of Computing with additional appointments at the Mechanical and Materials Engineering, Surgery, and Biomedical and Molecular Sciences at the Queen's University, Canada. He has been a Fellow of several organ…
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Uta Schmidt-Straßburger: Oncology AI that empowers patients
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Uta Schmidt-Strassburer is the scientific director of the Advanced Oncology study program at the Ulm university Germany. She is also a fellow podcaster, running the bilingual "caring and sharing" podcast on advanced oncology. Over the years, Uta has developed a critical appreciation towards oncology AI.…
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Quality Control and AI: Ensuring Safety in Drug Manufacturing
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In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores how artificial intelligence is transforming pharmaceutical manufacturing, particularly in quality control. Titled "Quality Control and AI: Ensuring Safety in Drug Manufacturing," this episode delves into the intersection of AI and regulatory compli…
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Machine Learning in Medical Imaging: A Regulatory Success Story
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In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota explores the transformative role of machine learning in medical imaging and its regulatory journey. He highlights a Swedish study where AI-assisted breast cancer screening improved detection rates by 4% compared to traditional methods. Dr. Jagota examines t…
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Artificial Intelligence in Clinical Trials: Transforming Drug Development
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In this episode of AI Revolution in Healthcare: A Regulatory Perspective, Dr. Nirdosh Jagota dives into the transformative role of artificial intelligence in clinical trials and drug development. Titled "Artificial Intelligence in Clinical Trials: Transforming Drug Development," Dr. Jagota discusses how AI is addressing critical challenges in clini…
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The Dawn of AI in Healthcare: Understanding the Regulatory Landscape
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In the very first episode of "AI Revolution in Healthcare: A Regulatory Perspective," Dr. Nirdosh Jagota takes listeners on a journey to explore how artificial intelligence is transforming healthcare and what it means for regulatory processes. In this episode, titled "The Dawn of AI in Healthcare: Understanding the Regulatory Landscape," Dr. Jagota…
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Juan Verde: A surgeon making Operating Rooms AI-ready
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Juan Verde is a Digestive and hepato-biliary-pancreatic Surgeon by training with a deep passion for surgical AI. Juan is currently working as a full-time Research Associate at the Institute of Image-Guided Surgery in Strasbourg, France.
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Michael Levin: Collective and Diverse Intelligence
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Michael Levin is a Distinguished Professor in the Biology at Tufts. Mike also serves as the director of the Allen Discovery Center at Tufts and the Tufts Center for Regenerative and Developmental Biology. He is a computer scientist by training, looking at some of the most fundamental questions of biology such as pattern formation, embryogenesis and…
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#1 - Brian Anderson, President and CEO at Coalition for Health AI (CHAI) & Randi E Seigel, Healthcare Regulatory Lawyer at Manatt Phelps and Phillips
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Welcome to Healthcare: AI In Review! Our guests: Brian Anderson, President & CEO at Coalition for Health AI Randi E Seigel, Helathcare Regulatory Lawyer at Manatt Phelps & Phillips Moderated By Missy Krasner, Gen AI Investor/Board Advisor In this episode, we discussed: Coalition for Health AI's Mission: Brian Anderson shares the Coalition’s goals t…
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#23 Can OpenAI's GPT o1 solve complex medical problems?
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First Thoughts and Preliminary Insights into OpenAI's GPT o1 Strawberry in the Medical Domain With some expected and unexpected findings, we have a "bake off" between o1 and Doc to demonstrate how o1 fares with tricky medical scenarios. Disclaimer Obviously, don't use AI to diagnose or treat your medical problems. If you are unwell, please seek a m…
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Maciej A. Mazurowski: SAM for Medical AI
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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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Yiyu Shi: Resource-aware Medical AI
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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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#22 Explaining Explainable AI (for healthcare) with Dr Annabelle Painter (RSM digital health section Podcast)
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Dev and Doc is joined by guest Annabelle Painter, doctor, CMO, and podcaster for the Royal Society of Medicine Digital Health Podcast. We deep dive into explainability and interpretability with concrete healthcare examples. Check out Dr. Painter's Podcast here, she has some amazing guests and great insights into AI in healthcare! - https://spotify.…
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[MICCAI Special] On reviewing well
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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
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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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#21 Foundational Models in Digital Pathology: Enhancing Cancer detection and outcomes
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An explainer on Foundation models for pathology, from Microsoft's Gigapath to Owkin's H-optimus-0, every company, big or small, are building pathology AI models. In this episode, Doc talks to Sean M. Hacking, assistant professor in Pathology at NYU Grossman School of Medicine and Özgür Şahin, particle physicist at CERN. Together they are building t…
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Saad Nadeem: Integrated Diagnostics
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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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Naren Akash RJ: MICCAI Student Board
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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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#20 How to build a successful healthTech/ BioTech start-up (2024 roadmap) - Derrick Khor
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Doc talks to Dr Derrick Khor - Cancer Doctor, HealthTech Consultant and Linkedin Guru. We share Derrick's insights from consulting over 120 companies and a step-by-step guide on how to build a successful Healthcare company. You can find more of Derrick and his helpful guides - https://adoptadoc.com/resources/ profile- https://www.linkedin.com/in/de…
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Islem Rekik: Graph Neural Nets for Brain Connectomics
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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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#19 Tracking health with technology and AI - demystifying digital biomarkers
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Dev and Doc deconstruct digital biomarkers! This is a fascinating and nascent field in the world of medicine, how have biomarkers transformed the way we practice medicine, and how will AI and wearables, sensors and digital fingerprints transform the way we practice in the future? Hey! If you are enjoying our conversations, reach out, share your tho…
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#18 Keith Grimes - Startups and doctors, HealthTech consulting, Babylon's demise, Leadership theory
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Dr Keith Grimes is a HealthTech consultant and General Practitioner working with companies to transform clinical ideas into something impactful. He worked as the digital health director in Babylon Health prior to its demise, and currently runs his own consulting firm, Curistica. This is one not to miss!ReferencesHealthTech consulting at Curistica w…
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#17 How to build a clinically safe Large Language Model - Hippocratic AI, Llama3, Biollama
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How do we reach the holy grail of a clinically safe LLM for healthcare? Dev and Doc are back to discuss news with Meta's LlaMA model and potential of healthcare LLMs finetuned on top like BioLlaMa. We discuss the key steps in building a clinically safe LLM for healthcare for healthcare and how this was pursued by Hippocratic AI's latest model - Pol…
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Akshay Chaudhari: LLMs for Clinical Text Summarization
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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
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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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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
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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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#16 Dev&Doc x Rewired - LLMs, Clinical foundation models and automating administrative tasks (live)
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In this special episode we share a live recording of our live podcast episode at the Rewired UK conference, where NHS, industry and policy markers unite. We discuss current LLMs from a technical and practical perspective. Dive into how to build Foundational models for the National health service and our experiences. We were also privileged to be jo…
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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: Fairness in Medical AI
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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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#15 The death of Prompt Engineering
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What do Prompt engineers have in common with telephone operators in the 1870s? Spoiler - they're both dying professions👨🏻⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/🤖Dev - Zeljko Kraljevic https://twitter.com/zeljkokrThe podcast 🎙️🔊Spotify: https://podcasters.spotify.com/pod/show/devanddoc 📙Substack: https://aiforhe…
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#14 Aligning AI models for healthcare | Understanding Reinforcement Learning from Human Feedback (RLHF)
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How do we align AI models for healthcare? 👨⚕️ And importantly, the moral codes and ethics that we practice everyday, how does the LLM deal with ethical scenarios like the trolley problem for example? This is a fascinating topic and one we spend a lot of time thinking about.In this episode Dev and Doc, Zeljko Kraljevic and I cover all the up to dat…
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#13 Research begins when hype ends - Doc's adventure, LlaMa3 , Code LlaMa, Gemini Ultra
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In this episode Doc goes on an adventure to chair an LLM/ generative AI conference session and reflects on his experience. Dev and Doc also discuss big news on meta's Llama3 and Code LlaMa.Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Together, we can build models that matter.👨🏻⚕️Doc - Dr. Jo…
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#12 2024 AI Predictions : Ambient clinical intelligence, language models as commodities, GPT-5 and AGI
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Dev And Doc are back ! Here we break down the biggest highlights of 2023, and AI predictions for 2024.Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Together, we can build models that matter.👨🏻⚕️Doc - Dr. Joshua Au Yeung - https://www.linkedin.com/in/dr-joshua-auyeung/🤖Dev - Zeljko Kraljevic h…
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Joe Lennerz: Berlin Declaration of Health Data Sharing
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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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#11 The AI race to automate clinical coding
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We have conversations between doctors and developers exploring the potential of AI in healthcare Josh is a training Neurologist in the NHS, and AI researcher in St Thomas' hospital and King's College Hospital. He is also a PhD student at King's College London. Zeljko is an AI researcher and PhD student at King's College London, as well as a CTO for…
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Neel Dey: Invariances and Covariances of Medical Imaging
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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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#10 The building blocks of AGI - Google's Gemini, OpenAI's Q*
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In this episode, Dev and Doc sit down to discuss artificial general intelligence from the perspective of a neurologist and computer scientist. We dive into the current developments around AGI , the 2 controversial schools of thought, LLMs and neuroscience, and give hot takes about whether we will ever reach AGI. Dev and Doc is a Podcast where devel…
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Maria Zuluaga: Trustworthy Medical AI
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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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Heather Couture: Oncopathology AI
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39:16
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39:16
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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#09 De-identifying 21 million hospital records with over 99% recall
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39:40
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39:40
De-identifying and anonymising PHI (protected/personal health information) in health records is one of the central pillars of AI success in healthcare. Without de-identified data we cannot share data between hospitals , train models confidentially, or safely create large language models. Live from new orleans, Dev and Doc are here to dive into this…
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Pieter De Backer: AI-assisted Surgical Training
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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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