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 r…

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…

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 …

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 cons…

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由alyssagt