Medical Attention

Medical Attention
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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.

  1. FEB 5

    Decision theory and metrics for evaluating predictive models

    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? 33:20 - Evaluation of performance measures in predictive artificial intelligence models to support medical decisions Join the conversation on our new LinkedIn page: https://www.linkedin.com/company/medicalattention/ Episodes | Bluesky | info@medicalattention.ai

    56 min

  2. JAN 5

    In-context: January 5, 2026

    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 provider-level differences in perioperative workflow using computer vision-based artificial intelligence 12:55 - Heterogenous effect of automated alerts on mortality Join the conversation on our new LinkedIn page: https://www.linkedin.com/company/medicalattention/ Episodes | Bluesky | info@medicalattention.ai

    20 min

  3. 12/02/2025

    In-context: December 2, 2025

    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 Improve Health Practitioner Well-Being Ambient AI Scribes in Clinical Practice: A Randomized Trial AI Scribes Are Not Productivity Tools (Yet) 09:55 - Language models cannot reliably distinguish belief from knowledge and fact 17:20 - Extracting social determinants of health from electronic health records: development and comparison of rule-based and large language models-based methods More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    23 min

  4. 11/03/2025

    In-context: November 3, 2025

    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 Event Models Improve with Scale   10:50 - When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    15 min

  5. 10/08/2025

    Should we be using LLMs for discharge summarisation?

    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 - Medical summarisation 19:30 - Context Rot: How Increasing Input Tokens Impacts LLM Performance 30:50 - Verifiable Summarization of Electronic Health Records Using Large Language Models to Support Chart Review 40:00 - Evaluating large language models for drafting emergency department encounter summaries 42:25 - Evaluating Hospital Course Summarization by an Electronic Health Record-Based Large Language Model More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    53 min

  6. 09/04/2025

    In-context: September 4, 2025

    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, observational study   06:05 - Automation Bias in Large Language Model Assisted Diagnostic Reasoning Among AI-Trained Physicians   10:15 - Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability    15:20 - Evaluating Large Language Model Diagnostic Performance on JAMA Clinical Challenges via a Multi-Agent Conversational Framework More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    20 min

  7. 08/18/2025

    In-context: August 18, 2025

    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 Language Models for Long Clinical Text Summarization with Temporal Reasoning 14:15 - Diagnostic Codes in AI prediction models and Label Leakage of Same-admission Clinical Outcomes 16:50 - Evaluating reasoning LLMs’ potential to perpetuate racial and gender disease stereotypes in healthcare More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    19 min

  8. 07/20/2025

    In-context: July 20, 2025

    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 Randomized Controlled Trial of Clinician-AI Collaborative Workflows for Diagnosis 11:55 - Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study More details in the show notes on our website. Episodes | Bluesky | info@medicalattention.ai

    20 min
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About

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.

Information

  • Creator
    Medical Attention
  • Years Active
    2024 - 2026
  • Episodes
    20
  • Rating
    Clean
  • Copyright
    © Copyright 2024 All rights reserved.
  • Show Website
    Medical Attention