You have a base model, now you need an Oncologist. We explain Fine-Tuning: the process of specializing an LLM on clinical data.

#FineTuning #SpecialistAI #HealthcareInnovation #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

The definitive 2026 Health AI strategy audit. Discover which Big Tech players, OpenAI, Google, Anthropic, or Microsoft, are actually aiming to solve clinical problems and which are just shipping marketing.

We perform a dispassionate clinical audit of the global Health AI landscape for 2026. We move beyond the hype to analyse the "moats" and "missions" of the major players, from OpenAI’s consumer-led personal health ally to Anthropic’s infrastructure-first approach with MCP. We critique the incrementalism in some research, the secrecy of Microsoft’s enterprise play, and the vertical integration of Amazon’s agentic systems. Finally, we outline a vision for "AI by design" that replaces medieval medical workflows with continuous, decentralised care.

00:00 – Intro: The Strategic Audit of the Health AI Landscape

00:45 – OpenAI vs Anthropic: Consumer Allies vs. Enterprise Plumbing

03:20 – Google’s "Incrementalism": Why Med-Gemini Isn’t a Paradigm Shift

05:10 – The Microsoft Dilemma: Enterprise Guardrails vs Clinical Utility

06:50 – Amazon’s "Closed Loop": Moving from Generative to Agentic Care

07:30 – Open Evidence: Building Physician Trust Through RAG

08:10 – The EHR Giants: Epic, Oracle, and the "Data Archaeology" Problem

09:30 – Why Meta and X.AI are Missing from the Clinical Room

09:50 – Apple’s Long Game: Passive Phenotyping & "Owning the Door"

10:40 – The Regulatory and Economic Walls: EU AI Act & the Cost of Inference

11:50 – The Future Beyond the Chatbot

15:30 – Final Verdict: Moving Beyond Medieval Frameworks

Health AI 2026, Clinical LLMs, Medical AI Strategy, Google MedGemma, OpenAI ChatGPT Health, Anthropic Claude Healthcare, Epic Comet AI, HealthTech Audit, Digital Front Door, Medical Decision Support #HealthAI #MedTech2026 #DigitalHealth #HealthTechStrategy #ClinicalAI #aiinmedicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Discover how Heidi Health’s acquisition of Automedica is bringing ad-free, NICE-compliant clinical reasoning directly into your consultations.

In this episode, we consider Heidi Health’s strategic shift from a simple AI medical scribe to a comprehensive "AI Care Partner." By acquiring UK-based Automedica and launching Heidi Evidence and Heidi Comms, the platform now integrates real-time, RAG-based clinical guidelines (NICE, BMJ, MIMS) and patient coordination tools into a single, ad-free workflow. We explore the technical benefits of Anthropic’s Claude models and the regulatory significance of the MHRA AI Airlock for the NHS.

Key Takeaways:

- Understand the difference between standard LLMs and Retrieval-Augmented Generation (RAG) for medical guidelines.

- The strategic importance of the MHRA AI Airlock for safe clinical AI implementation in the UK.

- Why the "Single Interface" strategy is the next evolution in reducing clinician burnout and portal fatigue.

00:00 - Introduction & "Scribe Wars" Phase 2

00:30 - Heidi’s Rapid Growth & Scribe Limitations

01:21 - AutoMedica Acquisition: RAG & AI Airlock

02:35 - Heidi Evidence: Real-Time Clinical Insights

03:51 - Ad-Free Clinical Infrastructure

04:19 - Heidi Comms: Streamlining Patient Communication

05:31 - Hurdles: EHR Integration & Liability

06:40 - Conclusion: The Future of AI in Healthcare

Clinical AI, Heidi Health, Medical AI Scribe, Automedica, NICE Guidelines, NHS AI, Medical Decision Support, RAG AI Healthcare, Anthropic Claude, HealthTech, #HealthAI #DigitalHealth #MedTech #HeidiHealth #ClinicalAI #NHS #FutureOfMedicine#aiinmedicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

AI starts by reading the whole internet. We explore the massive compute power required for "Pre-training" and what a general-purpose model actually knows.

#LLM #BigData #Compute #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Can Jack Ma’s Ant Group solve the healthcare crisis? Discover how the Ant Afu (AQ) app reached 30 million users by integrating AI directly into the world’s largest payment ecosystem.

Ant Group is repositioning healthcare as its next growth engine, leveraging AI-native "Doctor Agents" and "DeepSearch" to bridge the gap between digital triaging and clinical action. By integrating hospital booking, insurance payments, and clinical decision support into a single super-app, they are creating a closed-loop healthcare model that challenges the standalone approaches of ChatGPT and Claude.

Key Takeaways:

• Agentic Integration: Learn how Ant Afu closes the loop between symptom checking and insurance-paid hospital bookings.

• Digital Twins: Understanding the role of AI avatars trained by 300,000 licensed physicians in reducing administrative burdens.

• Clinician Tools: A look at "DeepSearch," Ant's new evidence-based research tool for medical professionals.

00:00 – Introduction: The Health AI Revolution in China

00:43 – Solving the "Last Mile" of Care

01:05 – The Closed-Loop Ecosystem: From Symptom to Payment

01:34 – The Friendship Paradox: Balancing Rapport and Authority

02:12 – Algorithmic Traceability: Building Clinical Trust

02:51 – Evidence Base: Measuring Impact at Scale

03:22 – Capabilities & Limitations: What the AI Can (and Can't) Do

03:54 – Lessons in Ecosystem Integration

04:18 – The Future: Global Implications and Challenges

05:07 – Outro and Final THoughts

Health AI, Ant Group, Ant Afu, Alipay Healthcare, Clinical Decision Support, Medical AI China, Jack Ma Health-Tech, DeepSearch AI, Digital Health Ecosystem, AI Doctor Agents #HealthAI #MedTech #AntGroup #DigitalHealth #ClinicalAI#aiinmedicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

In a sentence, order is everything. Learn how "Positional Encoding" prevents AI from getting confused between "The patient had a fall after the stroke" and "The patient had a stroke after the fall."

#AI #ClinicalSafety #DataScience #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

One reads, one writes. We explain why BERT is better for medical coding and GPT is better for patient summaries.

#GPT #BERT #MedicalNLP #ai in medicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com

Agentic AI is ending the era of the chatbot. Discover why OpenAI’s latest move is a massive signal for the future of clinical practice and how "OpenClaw" had such impact across the world.

This episode explores the transition from conversational LLMs to autonomous AI agents. We break down the "OpenClaw" phenomenon, the $1 trillion software market shift, and why Matt Shumer believes we are in a "February 2020" moment for cognitive automation. Learn the difference between being "data rich" and "intelligence ready" in a healthcare setting.

Link to the article: https://fortune.com/2026/02/11/something-big-is-happening-ai-february-2020-moment-matt-shumer/

Key Takeaways:

• Understand the shift from "outcome-based execution" to traditional "prompt-response" AI.

• The security risks of the "Lethal Trifecta" in agentic systems and how to avoid them.

• Strategic advice for clinicians on moving from "Search" to "Clinical Auditing."

0:00 – Introduction: The end of the chatbot era and the move to agents.

0:55 – Technical Distinction: LLMs vs. Agentic AI.

1:32 – AI’s "February 2020 Moment": Non-linear acceleration.

2:21 – Software Development: From writing code to describing outcomes.

3:16 – The Open-Clore Phenomenon: Autonomous agents with root access.

4:19 – Market Impact and OpenAI’s strategic pivot.

4:41 – Three Key Lessons: Local agency, extensibility, and autonomous coordination.

5:52 – The Healthcare "Intelligence Gap": Data-rich but intelligence-poor.

6:41 – 5 Dimensions of AI Readiness in organizations.

7:21 – Security Risks: The "Lethal Trifecta" and Prompt Injection.

8:04 – The Danger of "Shadow AI" in clinical settings.

8:25 – 3 Strategic Pillars for navigating the Agentic AI transition.

9:53 – Conclusion: The clinician as an orchestrator of agents.

Agentic AI, OpenClaw, Clinical AI, Healthcare Automation, OpenAI GPT-5, Digital Health Strategy, AI Security, LLM Agents, HealthTech 2026 #HealthAI #AgenticAI #MedTech #FutureOfMedicine #OpenClaw #ClinicalInnovation #aiinmedicine Music generated by Mubert https://mubert.com/render

healthaibrief@outlook.com