Medical Attention

Medical Attention

By Medical AttentionMedicineHealth & FitnessTechnology
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Medical Attention episodes

  • In-context: July 8, 2026

    Here’s a quick wrap of the three papers we found interesting over the last few weeks with some take home points.

    • 00:40 - Towards Conversational AI for Disease Management and Towards autonomous medical artificial intelligence agents

    • 10:40 - Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases

    • 15:40 - Evaluating the robustness and readiness of large frontier models in health AI applications

      Join the conversation on our new LinkedIn page: https://www.linkedin.com/company/medicalattention/

      Episodes | Bluesky | [email protected]

      25 min
    • In-context: April 6, 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 - ChatGPT Health performance in a structured test of triage recommendations
      • 11:30 - AI-Guided GDMT Optimization After HFrEF Hospitalization: The ASSIST-HF SIRIO Randomized Pilot Trial
      • 18:25 - AI literacy mediates AI assisted diagnosis participation and critical thinking among medical students under supervision

        • Join the conversation on our new LinkedIn page: https://www.linkedin.com/company/medicalattention/

        Episodes | Bluesky | [email protected]

        25 min
      • 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 | [email protected]

          56 min
        • 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 | [email protected]

            21 min
          • 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 | [email protected]

                24 min
              • 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 | [email protected]

                  15 min
                • 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 | [email protected]

                    53 min
                  • 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 | [email protected]

                      20 min
                    • 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 | [email protected]

                        20 min
                      • 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 | [email protected]

                          21 min

                        About Medical Attention

                        From the publisher's feed

                        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…