Najlepsze podcasty z kategorii: Ai Healthcare (2024)

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#23 Can OpenAI's GPT o1 solve complex medical problems? 39:44

9d ago39:44

39:44

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 44:19

1M ago44:19

44:19

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 44:56

1M ago44:56

44:56

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) 58:40

2M ago58:40

58:40

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 52:10

2M ago52:10

52:10

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

2M ago33:51

33:51

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 1:01:43

2M ago1:01:43

1:01:43

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 45:10

2M ago45:10

45:10

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 31:39

2M ago31:39

31:39

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 1:08:33

2M ago1:08:33

1:08:33

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 58:39

3M ago58:39

58:39

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 1:03:36

3M ago1:03:36

1:03:36

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 1:09:33

4M ago1:09:33

1:09:33

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 43:24

5M ago43:24

43:24

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 53:36

5M ago53:36

53:36

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 42:00

6M ago42:00

42:00

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

6M ago50:12

50:12

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 44:55

6M ago44:55

44:55

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

6M ago46:02

46:02

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) 46:59

6M ago46:59

46:59

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: Cardiology AI 38:25

6M ago38:25

38:25

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 45:52

7M ago45:52

45:52

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 34:52

7M ago34:52

34:52

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) 42:01

8M ago42:01

42:01

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 18:04

8M ago18:04

18:04

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 46:15

9M ago46:15

46:15

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 49:37

10M ago49:37

49:37

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 28:01

10M ago28:01

28:01

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 44:08

10M ago44:08

44:08

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* 28:37

10M ago28:37

28:37

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 42:33

10M ago42:33

42:33

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 39:16

10M ago39:16

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 39:40

10M ago39:40

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 51:53

10M ago51:53

51:53

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

11M ago53:16

53:16

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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#08 the state of healthcare (and why large language models should be used) 37:00

11M ago37:00

37:00

What is the current state of healthcare in the UK, is it ethical for patients to use LLMs for their healthcare ? 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.Hey! If you are enjoying our conversations, reach out, share your thoughts and journey with u…

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Shek Azizi: Google DeepMind's Foundational Medical Models 49:41

11M ago49:41

49:41

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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#07 a conversation on safety and risks of AI models | AI safety summit 2023 51:36

11M ago51:36

51:36

As the AI safety summit nears in England, the UK positions itself as a leader in AI safety, but what does this mean? Is AI safety all about preventing doom for the human race ? 🤖Dev and doc👨🏻‍⚕️ are here to break down this fascinating topic. Dev and Doc is a Podcast where developers and doctors join forces to deep dive into AI in healthcare. Togeth…

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#06 Exploring Large multimodal models in healthcare - GPT-4V, Google PaLI-3 explained 59:16

11M ago59:16

59:16

🤖Dev and doc👨🏻‍⚕️ introduces large multimodal models. ✨ The potential of LMMs combining text and images seem limitless, but what's the catch? 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-…

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#05 5 tips to learn AI 2023 : From doctor to health tech 35:23

12M ago35:23

35:23

How should one get into AI and Health tech? Here Doc offers the top 5 tips. Are you someone who is looking into AI and health tech? Or someone who is already in the field ? Share your thoughts and journey with us! 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…

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#04 The opportunities and promises of AI in Healthcare : Super Doctors and personal assistants 52:39

12M ago52:39

52:39

We start with a deep dive into why AI is required for the future of healthcare, and in what ways can AI be integrated. In the second part of the episode, we cover the VC involvement in the space and showcase the best use cases where AI companies can jump into healthcare.Dev&Doc is a podcast where doctors and developers deep dive into the potenti…

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#03 We trained an AI to diagnose like a doctor. Using GPT to predict a patient's future 1:22:33

1y ago1:22:33

1:22:33

What does it mean for a doctor to diagnose a patient? Can an AI (GPT model) learn to diagnose a patient, and even out-diagnose a doctor? Can we use AI to predict the future? Try the Foresight GPT demo here: foresight.sites.er.kcl.ac.uk Like what you're hearing? Support us by subsc…

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#02 A clinical introduction to Large language models (LLM), AI chatbots, Med-PaLM 1:41:03

1y ago1:41:03

1:41:03

In this episode, we introduce large language models in healthcare, their potentials and pitfalls. We put AI chatbots like ChatGPT to the test, discuss our thoughts on Google's Med-PaLM, and dabble in a bit of philosophy of artificial general intelligence. Like what you're hearing? Support us by subscribing and reaching out to us. We want to encoura…

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Dan Hashimoto: Making surgery AI-ready 52:55

1y ago52:55

52:55

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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#01 Natural Language Processing for Healthcare - Named Entity Recognition 1:07:19

1y ago1:07:19

1:07:19

In this episode we explore named entity recognition (NER) and its uses in clustering 1 million hospital inpatients, monitoring pandemics and outbreaks, automating clinical coding, enriching research cohorts, and more. Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare. 👨🏻‍⚕️Doc - Dr. Joshua Au Yeung 🤖…

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Stephen Gilbert: AIaMD regulations 1:16:16

1y ago1:16:16

1:16:16

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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Nitika Pai: Global Digital Health 57:36

1y ago57:36

57:36

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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Ep #00 Introducing the Dev&Doc Podcast. Conversations on AI & healthcare 17:28

1y ago17:28

17:28

Dev&Doc is a podcast where doctors and developers deep dive into the potential of AI in healthcare.👨🏻‍⚕️Doc - Dr. Joshua Au Yeung 🤖Dev - Zeljko Kraljevic The podcast 🎙️🔊Spotify- https://sptfy.com/OMmVJoin the Dev&Doc movement: 🏃https://aiforhealthcare.substack.com/Timestamps:Start 00:00Introduction 00:28The idea 01:20 Target audience 2:46Start of t…

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Swapnil Rane: Indian Image BioBank 52:20

1y ago52:20

52:20

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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Ishita Barua: Gender gap in health data 53:27

1y ago53:27

53:27

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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