How does AI know that "Paracetamol" and "Acetaminophen" are related? We explain Embeddings, the vector space that turns clinical language into a mathematical map of meaning.

#NLP #HealthIT #Embeddings #ClinicalCoding #AI #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Pancreatic cancer is notoriously difficult to detect before it reaches an advanced stage. There's been a lot of recent coverage about the "PANDA" system, a deep-learning model previously published in Nature Medicine in 2023. By utilising routine, non-contrast CT scans, originally taken for unrelated issues, this AI achieved 92.9% sensitivity in real-world trials. We break down the three-stage architecture of the model, the significance of its recent FDA Breakthrough Device status, and what the data from 180,000 clinical scans tells us about the future of opportunistic screening.

#HealthAI #Oncology #PancreaticCancer #Radiology #DeepLearning #ClinicalAI #MedicalInnovation #TheHealthAIBrief #MedTech #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Who really owns the future of healthcare? 🏥

We explore the unsettling intersection of Artificial General Intelligence (AGI) and Thomas Piketty’s economic theories. Authors Philip Trammell and Dwarkesh Patel warn of a "Piketty Trap": a future where the return on AI capital skyrockets while the economic value of clinical labor drops toward zero.

Article link: https://substack.com/inbox/post/182789127

As we shift from AI as a "tool" to AI as a "substitute," we face a massive hurdle. Is your clinical expertise being "mined" to enrich private markets? We discuss the "Dead Patient" Paradox - the dangerous reality of optimising healthcare for "throughput" and "efficiency" over human outcomes.

Key insights in this episode:

- The Privatisation of Returns: Why AI wealth is being locked in private markets and what it means for the NHS and global health systems.

- The Efficiency Trap: Why the "business case" for AI might lead to "algorithmic extraction" instead of better patient care.

- The Bridge Forward: Why the clinical community must move from being "users" to "equity stakeholders" in the AI models of the 22nd Century.

It’s time to reclaim the human-centric soul of medicine.

Listen now for a pragmatic guide to surviving the AI wealth shift.

#HealthAI #AGI #HealthEconomics #FutureOfMedicine #NHS #DigitalHealth #MedTech #Piketty #HealthEquity #TheHealthAIBrief #PhysicianLeadership #GlobalHealth Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

AI that creates fake patients? We explore Generative Adversarial Networks (GANs), how "The Forger" and "The Detective" compete to create synthetic medical data and high-res imaging.

#GenerativeAI #GANs #Privacy #MedicalResearch #SyntheticData #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

How does AI remember a drug allergy from 10 years ago? We explain Long Short-Term Memory networks (LSTMs), the "Gating" mechanism, and why they are crucial for analyzing patient history.

#EHR #HealthData #LSTM #DeepLearning #ClinicalInformatics #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Are AI therapists helping you, or just enabling you? 🤖🛋️

In this week's episode, we break down a fascinating Financial Times experiment where the author Henry mance treated his "midlife crisis" using only ChatGPT. The result? A validation loop that feels good but misses the point of therapy entirely.

We discuss:

🔹 The danger of the "Obsequious AI" that acts like a people-pleaser.

🔹 Why "Rehearsal Spaces" might be the best clinical use case for LLMs.

🔹 The difference between "Customer Service" and "Clinical Care."

🔹 Why a real therapist wants you to leave, but an AI wants you to stay.

Link: https://www.ft.com/content/8b6e0a41-f3d1-474d-9d69-d5e0b897907b

#HealthAI #MentalHealth #ChatGPT #DigitalHealth #Psychotherapy #GenAI #MedTech #ClinicalInnovation #TheHealthAIBrief #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Are we letting "entertainment" bots practice medicine without a license? 🦆🏥

In this week's episode, we break down a provocative new paper from npj Digital Medicine that argues if an AI walks and talks like a therapist, it should be regulated like one, regardless of the disclaimer in the Terms of Service.

We discuss:

- The tragic real-world consequences of unregulated AI therapy.

- The "Intended Purpose" loophole that tech giants use.

- How hidden system prompts prove medical intent.

- The pragmatic path forward for safe Mental Health AI.

Reference:

- Link: https://www.nature.com/articles/s41746-025-02175-z

- Title: If a therapy bot walks like a duck and talks like a duck then it is a medically regulated duck

- Authors: Max Ostermann, Oscar Freyer, F. Gerrik Verhees, Jakob Nikolas Kather & Stephen Gilbert

If you're building in Health AI, you can't afford to miss this regulatory shift.

#HealthAI #DigitalHealth #MedTech #AIRegulation #MentalHealth #ChatGPT #GenerativeAI #ClinicalSafety #TheHealthAIBrief #MedicalDevices #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Medicine is a story, not a snapshot. We explain Recurrent Neural Networks (RNNs), the algorithms that can read ECGs, track vital trends, and understand sequential clinical data.

#TimeSeries #ECG #DigitalHealth #RNN #PredictiveAnalytics #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com