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AI and Generative AI are transforming cybersecurity by enhancing threat detection and response. These technologies offer unmatched accuracy and efficiency, making them crucial for protecting sensitive data. As cyber threats evolve, integrating AI into security strategies is essential. This week, Dave, Esmee and Rob talk to Corence Klop, CISO at the Rabobank, about the expanding role of AI and Generative AI in cybersecurity, and how to begin integrating these technologies into your organization. TLDR 04:45 Rob is confused about wrong AI information for a hotel booking 08:20 Conversation with Corence 33:40 How can you identify the state of flow for your end-user in agile practices? 40:50 Going to the swimming pool and disco with your daughter Guest Corence Klop: https://www.linkedin.com/in/corenceklop/ Hosts Dave Chapman: https://www.linkedin.com/in/chapmandr/ Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ Production Marcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/ Dave Chapman: https://www.linkedin.com/in/chapmandr/ Sound Ben Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/ Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ ' Cloud Realities' is an original podcast from Capgemini…
Content provided by Medical Attention. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medical Attention or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Medical attention is a podcast about artificial intelligence (AI) in medicine for busy people working in health. We bring you clinically relevant updates from the world of AI so you know how it will impact your patients and work.
Content provided by Medical Attention. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medical Attention or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Medical attention is a podcast about artificial intelligence (AI) in medicine for busy people working in health. We bring you clinically relevant updates from the world of AI so you know how it will impact your patients and work.
In this episode, we discuss algorithmic bias and fairness in healthcare. We explain what this is, the different definitions of “fairness”, explore the ways in which bias can enter the machine learning pipeline and some ways to combat it. 01:00 Technical update - NeurIPS 06:50 Technical update - ChatGPT-o3 14:00 - Algorithmic bias Episodes | Bluesky | info@medicalattention.ai…
We’ve returned after an accidental hiatus, just in time for the end of the year. In this episode, we’re joined by the team behind the American Medical Informatics Association (AMIA) Year in Review - Professor James Cimino, Pushkala Jayaraman and Dr Humayera Islam to talk about the main themes in healthcare AI for 2024. 01:00 Technical update (ChatGPT-o1, agentic AI) 10:25 AMIA Year in Review Episodes | Bluesky | info@medicalattention.ai…
We’re back! This is the start of our regular discussions about healthcare AI topics and recent literature. On today’s episode - the 10 commandments of decision support, the checkered history of EMRs, clinicians as “moral crumple zone” for AI models and much more. 01:18 Technical update (Llama 3.1, Phi releases) 06:25 Main discussion 41:20 Article round-up Episodes | Twitter | info@medicalattention.ai…
In this episode, we discuss more of the technical aspects of LLM implementation in healthcare, including the following topics: Embeddings Retrieval augmented generation (RAG) Fine tuning Low-Rank Adaptation (LoRA) Small models Quantisation Encoder and decoder models Multimodal transformers Oh my! Episodes | Twitter | info@medicalattention.ai…
In this episode, we discuss some concerns about LLM implementation in the healthcare setting, including the following topics: More detail about hallucinations, issues with accuracy Difficulties of model evaluation Concerns regarding bias and equity Governance and monitoring of LLMs in a healthcare settings Episodes | Twitter | info@medicalattention.ai…
Finally! We’re talking about large language models (LLMs) including ChatGPT. We discuss the following topics: Brief explanation of transformer models and how they work including the attention mechanism and context window Discuss a brief development of LLMs to this point How LLMs are trained Some limitations - privacy, accuracy, provenance Episodes | Twitter | info@medicalattention.ai…
In this episodes we give an overview of neural networks and how they’re used in healthcare. We'll be covering the following topics: Definition of neural networks and a high level explanation of their structure Overview of the development of neural networks and use in healthcare How neural networks are currently used in medicine Limitations and considerations for their use Episodes | Twitter | info@medicalattention.ai…
Welcome to Medical Attention. This episode is an introduction to artificial intelligence and machine learning for people in healthcare with no technical background. Episodes | Twitter | info@medicalattention.ai
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