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PODCAST

The Health AI Brief

Decoding artificial intelligence for busy medical professionals in just a few minutes. Every second counts. We provide high-yield AI insights for physicians, surgeons, and healthcare executives who need the signal without the noise.Stay ahead of the future of medicine with ultra-concise briefings on:Ambient Clinical Intelligence: Automating medical documentation and EHR workflows.Generative AI & LLMs: Practical applications of ChatGPT and medical-grade AI in the clinic.Agentic AI: The rise of

health & fitness medicine

All Episodes

3:33

011 Structured vs. Unstructured Data

The Health AI Brief ·

2025/08/26

Some estimates indicate up to 80% of clinical data is "unstructured" narrative. It’s messy, complex, and where the real patient story lives. This episode explains how AI is finally unlocking this treasure trove of information and what it means for your daily practice.#HealthTech #ArtificialIntelligence #ClinicalPractice #MedicalInnovation #EHR #PatientData #DataScience #HealthPodcast #AIforDocs #ai in medicineMusic generated by Mubert https://mubert.com/renderhealthaibrief@outlook.com

en-US

4:44

AI robot surgeon that corrects its own mistakes

The Health AI Brief ·

2025/08/20

Link to the preprint discussed: https://arxiv.org/pdf/2505.10251Link to the project with explanations: https://h-surgical-robot-transformer.github.io/A surgical robot that corrects its own mistakes sounds like science fiction.In this paper, new research from Johns Hopkins & Stanford makes it a reality. But is it ready for the operating room?The new SRT-H system allows a da Vinci robot to autonomously perform key steps of a gallbladder removal, achieving a 100% success rate in a lab setting. It

en-US

3:35

010 The AI Tipping Point in Medicine - Why Now?

The Health AI Brief ·

2025/08/16

AI in medicine has reached a clear tipping point. But what are the specific factors driving this rapid progress? This episode breaks down the three essential pillars: the explosion in clinical data, massive leaps in computation, and recent, powerful breakthroughs in algorithms.We explore how mature algorithms from outside of medicine, particularly in image and natural language processing, are now being repurposed for clinical use. You'll also learn why the biggest hurdles for AI in healthcare

en-US

4:35

Endoscopist deskilling risk after exposure to...

The Health AI Brief ·

2025/08/13

A new study from The Lancet that has sent a ripple of anxiety through the clinical AI community. The paper suggests that AI tools designed to help doctors may actually cause their skills to decline over time.But is the evidence as solid as the headlines suggest? Is AI dependency a real threat to patient safety?#HealthAI #ArtificialIntelligence #ClinicalAI #PatientSafety #Deskilling #DigitalHealth #MedTech #Colonoscopy #Gastroenterology #TheLancet #NHS #DeepMind #MedicalPodcast

en-US

2:41

009 AI Agents: Automating Healthcare or a New...

The Health AI Brief ·

2025/08/12

AI that can do, not just tell. We explore AI Agents: systems that go beyond diagnosis to take action. This leap forward promises to tackle our admin overload but brings a new level of clinical risk. Are we ready?Music generated by Mubert https://mubert.com/renderAI Agents, Healthcare AI, Clinical Safety, Physician Burnout, Automation, Patient Safety, Autonomous AI, Human-in-the-Loop, AI Risk, Workflow Automation, Future of Medicine, AI Hallucination, Administrative Taskshealthaibrief@outlook.com

en-US

4:21

008 Narrow vs General AI, AGI and ASI

The Health AI Brief ·

2025/08/09

We see AI that can read an ECG, but we also hear headlines about a future superintelligence. How do these two realities connect?In this episode, we provide an essential reality check. We break down the crucial difference between the AI we have in our clinics today (Narrow AI) and the AI of science fiction (AGI & ASI).Understanding this spectrum is key. It helps you ground your expectations when a new tool is presented for your hospital and separates the practical task of clinical validation from

en-US

3:40

OpenAI's New Release: Why 'Open-Weights' Isn't...

The Health AI Brief ·

2025/08/06

You’ve seen the headlines about OpenAI’s new model, but much of the coverage is confusing 'open-weights' with 'open-source'. They are not the same, and the distinction is relevant for patient data security and clinical trust.In this episode of The Health AI Brief, we decode some of the jargon. Learn:- The fundamental difference between open-weights and true open-source AI.- The implications for patient privacy and data security when running models locally.- The key question you must

en-US

3:10

007 Parameters

The Health AI Brief ·

2025/08/06

You hear about new AI models having "billions of parameters." It sounds impossibly complex, but the core idea is surprisingly simple and it's the single most important concept for understanding how an AI actually works. These parameters determine an AI's capabilities, its limitations, and its potential for bias.In this episode of The Health AI Brief we'll cover:- A simple, intuitive analogy for what a 'parameter' actually is.- How the process of 'training' an AI

en-US

4:19

006 Deep learning

The Health AI Brief ·

2025/08/03

How can an AI analyse a CT scan or pathology slide with expert-level accuracy? The answer is Deep Learning—the engine behind the revolution in medical imaging.In this episode, we explain how these 'deep' neural networks teach themselves to see complex patterns, much like our own visual cortex processes information from simple edges to complex objects.Knowing this matters. It helps you understand why these models are often "black boxes," why appraising their training data is so

en-US

7:20

Flok Health - an AI Physio for Back Pain - A cure for...

The Health AI Brief ·

2025/08/01

Today we're discussing AI-powered physiotherapy app from Flok Health which has seen widespread media coverage and has gained both CQC and MHRA approval, promising to slash waiting lists for back pain.The goal is compelling: automate care for straightforward cases to free up human clinicians for complex ones. But what does the evidence really say?In this 5-minute analysis, I break down: - The core challenge of validating safety, especially around "red flag" screening. - Why pilot

en-US

4:49

005 Neural networks

The Health AI Brief ·

2025/07/30

When we say a machine "learns" from data, what's actually happening? What is the engine doing?In this episode, we break down the fundamental building block of modern AI: the Neural Network. We explain it as a logical chain for synthesising information—from raw data like ECG signals in the 'input layer', to abstract concepts like 'high-risk' in the 'hidden layers', to a final diagnosis.Understanding this basic architecture is key to knowing an AI's limits. It

en-US

3:50

004 Models

The Health AI Brief ·

2025/07/28

In our last episode, we described Machine Learning as the engine that powers AI. So, what is the specific output of that engine? What is created when an AI is "trained"?The answer is the "model." This is the end product of the training process—the distilled knowledge, captured in digital form.In this episode, we explain what an AI model is and why it's not the whole product. We cover why a model is a 'frozen' snapshot of knowledge, the danger of 'model drift,' and

en-US

6:24

DD - OpenAI and Penda Health's AI Consult Real-World...

The Health AI Brief ·

2025/07/23

A Deep Dive into the OpenAI & Penda Health AI StudyIn this episode, we provides a critical analysis of the highly publicised paper, "AI-based Clinical Decision Support for Primary Care: A Real-World Study."We go beyond the abstract's impressive claims to dissect the real-world implications:- The Design: Acknowledging the brilliant workflow integration and "on-the-job" training effect.- The Data: Why a 60% baseline error rate for "inappropriate treatment" raises

en-US

5:06

003 AI vs machine learning

The Health AI Brief ·

2025/07/22

In the last episode we called AI the "toolbox." Now, we're looking at the most powerful tool inside: Machine Learning (ML).So, what’s the real difference? Think of it this way: AI is the destination, but Machine Learning is the engine getting us there.In this episode, we break down the simple but powerful "Train, Detect, Predict" framework. This is the key to understanding how these tools actually work and, more importantly, where they can fail.Master this, and you'll know

en-US

2:57

002 What is AI?

The Health AI Brief ·

2025/07/19

AI is "better than a radiologist." AI is writing your clinic notes. The term 'AI' is everywhere in medicine, but what does it really mean? It's easy to feel like it's just a confusing buzzword.In Part 1 of our new series, we cut through the hype to give you a clear, simple definition.Think of AI as the broad toolbox aiming to mimic human intelligence, from seeing to understanding language. But to really understand it, you need to know about the engine that powers most of

en-US

2:39

001 Introduction

The Health AI Brief ·

2025/07/17

Welcome to The Health AI Brief.In the first episode, we set the stage for our journey: to demystify artificial intelligence for busy cliniciansRoughly five minutes and one concept at a time.Music generated by Mubert https://mubert.com/render

en-US

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