Hosted by Unknown Host · 🇺🇸 US · EN · 21 episodes
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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.
Unknown Host hosts Medical Attention, a health show with 21 episodes published.
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:30 - ChatGPT Health performance in a structured test of triage recommendations 11:30 - AI-Guided GDMT Op
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 01:00 - Technical wrap - ChatGPT and Claude for healthcare, AI scribes 07:40 - What is decision theory? 33:
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:30 - LLMs Can Do Medical Harm: Stress-Testing Clinical Decisions Under Social Pressure 09:30 - Measuring
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:30 - Ambient AI RCTs A Pragmatic Randomized Controlled Trial of Ambient Artificial Intelligence to Impro
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:35 - Scaling Large Language Models for Next-Generation Single-Cell Analysis 05:55 - Generative Medical E
This episode, we discuss some of the challenges in using large language models (LLMs) for the task of summarising inpatient encounters. 00:30 - Technical wrap - new models, MiT’s State of AI in Business 2025 12:40 - Medi
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:30 - Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 00:30 - An Electrocardiogram Foundation Model Built on over 10 Million Recordings 07:10 - Zero-shot Large L
Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points. 1:00 - Clinical knowledge in LLMs does not translate to human interactions 06:45 - From Tool to Teammate: A
In this episode, we’re lucky to be joined by Alexandre Sallinen and Tony O’Halloran from the Laboratory for Intelligent Global Health & Humanitarian Response Technologies to discuss how large language models are assessed
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 - MedHE
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-Cli
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 LLM
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 w
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 Cimin
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
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
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 Concer
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
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 o
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Medical Attention is hosted by Unknown Host. The show is categorised under health (fitness) and has published 21 episodes.
Medical Attention has published 21 episodes.
Medical Attention regularly covers health, fitness, medicine. It sits in the health category, with a fitness focus.
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Episodes of Medical Attention average 34 minutes. a focused format where a clear narrative arc and tight preparation matter most.
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