Medical Attention podcast

18:51

Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 0:35 - Superhuman performance of a large language model on the reasoning tasks of a physician 06:20 - MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks 11:45 - Identifying and mitigating algorithmic bias in the safety net More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai…

Medical Attention

1
In-context: May 2025 16:11

23 дні тому16:11

16:11

We’re trying out a new episode format! We’ll be doing a quick wrap of the top three papers we found interesting over the last few weeks with some take home points. 01:30 - Patient Reactions to Artificial Intelligence-Clinician Discrepancies 06:50 - AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction 11:10 - Large-scale Local Deployment of DeepSeek-R1 in Pilot Hospitals in China More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai…

Medical Attention

1
Ep.9 AI Mythbusting 49:06

6 weeks тому49:06

49:06

In this episode, we tackle some common myths about how generative AI works, why this is the case, implications for healthcare and some quick fixes. These myths include 1) that LLMs can explain their reasoning 2) that LLMs can express uncertainty, 3) that LLMs can a) do maths, b) manage temporal data c) apply guidelines d) handle negation and finally that 4) that AI will replace clinicians. 02:00 Technical update - DeepSeek, other new models 10:00 - AI mybusting 15:50 - LLMs can explain their reasoning 21:50 - LLMs can express uncertainty 26:40 - LLM blindspots 41:50 - AI will replace clinicians Episodes | Bluesky | info@medicalattention.ai…

Medical Attention

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Ep.8 Algorithmic Bias 53:47

22 weeks тому53:47

53:47

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…

Medical Attention

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Ep.7 Informatics Year in Review 49:16

26 weeks тому49:16

49:16

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…

Medical Attention

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Ep.6 Human-computer interaction in healthcare 50:07

39 weeks тому50:07

50:07

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…

Medical Attention

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Ep.5: Pushed to the LLM-it 34:10

47 weeks тому34:10

34:10

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…

Medical Attention

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Ep.4: LLM LLMitations 26:40

47 weeks тому26:40

26:40

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…

Medical Attention

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Ep.3: Introduction to LLMs 38:08

47 weeks тому38:08

38:08

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…

Medical Attention

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Ep.2: Neural networks in healthcare 31:31

47 weeks тому31:31

31:31

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…

Medical Attention

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Ep.1: Introduction to AI in healthcare 25:35

48 weeks тому25:35