Building the Global AI Hospital Network
By Dr. Hernani Costa — May 29, 2025
Oracle, Cleveland Clinic & G42 join forces to launch a continent-spanning data platform for predictive, personalized care.
Hello and welcome to First AI Movers Pro! I'm excited to guide you through the latest in AI. This week, we're zooming in on a game-changing alliance that could redefine global healthcare as we know it. We'll also hit some quick headlines – from ultra-fast tumor tests to AI taking on hospital paperwork – and spotlight an AI tool giving voice to the future. So grab a coffee, settle in, and let's dive in.
Hot Links
- WHO doubles down on digital health by extending its Global Digital Health Strategy through 2027, fast-tracking AI tools and data-sharing projects to boost access and equity worldwide.
- Microsoft's new multi-agent "Orchestrator" trims cancer admin by automating timeline-building, scan reviews, and clinical-trial searches, cutting tumor-board prep from hours to minutes.
- Surgeons now diagnose brain tumors in just 90 minutes using an "ultra-rapid" genetic test that got 50-out-of-50 cases right on the operating table—no more weeks-long lab wait.
- Smartphone typing patterns help monitor multiple sclerosis after Amsterdam startup Neurocast won FDA clearance for its passive, keyboard-based AI check-up—no wearables required.
- London's Royal Marsden rolls out an AI radiology platform with NTT Data and CARPL.ai, aiming to spot cancer early across the NHS and set a new standard for image-driven diagnosis.
Main Story – A Global AI Alliance in Healthcare
What if your next doctor's visit were guided by insights from a worldwide AI network? That future just moved a step closer. In an unprecedented partnership, Oracle, Cleveland Clinic, and G42 (an Abu Dhabi-based AI firm) have joined forces to build a global, AI-powered health platform. It's a powerhouse trio: a tech giant with deep data prowess, one of the world's top hospital systems, and a cutting-edge AI company known for national-scale projects. Their goal? Nothing less than to fuse technology and medicine on a planetary scale – delivering smarter, faster, more personalized healthcare to millions.
At its core, this initiative aims to create the "hospital of the future." That means hospitals where AI works behind the scenes 24/7 – crunching vast amounts of clinical and population data in real time, and giving doctors and nurses instant decision support. Imagine an AI that continuously analyzes public health trends and patient records, then whispers actionable insights to clinicians at the bedside. According to the partners, the new platform will do exactly that: harness cloud infrastructure, massive datasets, and clever algorithms to provide "secure, scalable, and intelligent healthcare solutions" across the entire population. In practical terms, it could help identify at-risk patients earlier, suggest tailored treatments, and coordinate care more efficiently across different sites.
The collaboration is kicking off in the United States and United Arab Emirates, no coincidence, since the Cleveland Clinic has a major hospital in Abu Dhabi, and Oracle's cloud spans the globe. By linking expertise from these regions, the platform is designed to "enhance patient outcomes, enable precision medicine, and support the shift from reactive treatment to proactive wellbeing". In other words, it's not just about curing illness after the fact; it's about predicting and preventing illness wherever possible. For patients, that could mean getting warnings and personalized advice long before a condition becomes serious. For healthcare systems, it means using AI to allocate resources smartly and drive down costs while improving quality.
So what makes this alliance especially impactful? Scale and synergy. We've seen plenty of AI pilots in hospitals, but rarely a partnership of this scope. Oracle brings its cloud and data analytics muscle (it's the company that now owns Cerner, a huge medical records provider). Cleveland Clinic contributes decades of clinical knowledge and real-world patient data to train algorithms. G42 adds its expertise in "sovereign AI" and health data integration – they're known for handling sensitive national data in the UAE, which bodes well for privacy and security on this project. By combining these strengths, the trio can tackle challenges that single startups or hospitals often struggle with, like cleaning and harmonizing massive health datasets or deploying AI tools that actually fit into doctors' workflows at scale.
The timing is perfect, too. The COVID-19 crisis showed the cracks in global healthcare, from staff shortages to supply chain woes. There's a growing consensus that smarter use of data and AI is key to fortifying health systems – and even the World Health Assembly recently emphasized digital health innovation as a priority. This new platform directly targets those needs. It promises to help clinicians gain "deeper insights into patient populations" and factors driving diseases by continuously analyzing trends across millions of records. Frontline providers could get AI-curated updates, such as alerts when a spike in respiratory illnesses is detected in the community or suggestions for a difficult diagnosis, drawing on cases from around the world. Meanwhile, hospital administrators might use the platform's predictive models to anticipate ICU bed demand or optimize staffing – the kind of big-picture intelligence that's hard to compile manually.
Of course, such an ambitious project won't be an overnight fix. Integrating AI into everyday care is as much a human challenge as a technical one. Doctors and nurses will need to trust and understand the AI's recommendations. Different healthcare systems and countries have varied regulations and data standards – the "global" platform will have to navigate those waters carefully. And then there's data privacy: combining data at nation-scale can raise eyebrows, so the partnership is likely to emphasize strict controls (leveraging G42's secure infrastructure know-how to keep data locally governed).
Still, the momentum and optimism are palpable. Cleveland Clinic's CEO called this collaboration a critical step toward more "accessible care models" that could boost people's health and longevity worldwide. It's a bold vision: one networked AI brain, empowering many hospitals. If it succeeds, a doctor in Ohio and a doctor in Abu Dhabi could soon be drawing on the same AI insights tailored to their local patients. That kind of cross-border learning could accelerate everything from outbreak detection to clinical research discoveries.
Zooming out, this alliance is part of a larger trend – the race to infuse AI into healthcare at scale. Tech giants like Microsoft and Google are already working on hospital AI assistants and medical LLMs, and countless startups are building niche clinical AI tools. But what Oracle, Cleveland Clinic, and G42 are attempting is different in its breadth. They're not just plugging one AI into one hospital; they're building an entire AI ecosystem spanning continents. It's an ambitious "go big or go home" approach, and it carries big expectations.
For patients and clinicians, all this could lead to tangible improvements in care over the next few years. We might see proactive health nudges become commonplace – e.g., an AI alert nudging your primary doctor to screen you earlier for a condition because patterns in your data (and millions of others) suggest you're at risk. Complex conditions like cancer could be managed by a global knowledge network, where an oncologist gets instant input from AI that's learned from tens of thousands of cases similar to their patient's. And in public health emergencies, such a platform might rapidly coordinate resources by analyzing where the need is greatest.
It's often said that medicine is part science, part art. The hope here is that AI can boost the science side – crunching numbers and spotting patterns no human could – while freeing up clinicians to focus more on the art of healing: the personal, compassionate care that only humans can provide. This partnership is a bet that the two can work hand-in-hand. It's early days, and we'll be watching closely how this develops. But make no mistake, this is one of the most impactful moves in healthcare AI we've seen so far. If a global AI healthcare network sounds like science fiction, it's quickly becoming science fact.
In short: a new global AI alliance has formed at the intersection of medicine and technology. It's audacious, it's exciting, and it underscores a future where your healthcare might be guided not just by one doctor's expertise, but by the collective intelligence of many, powered by AI. Stay tuned – the way we experience healthcare could be on the verge of a radical upgrade.
Tool/Trend Spotlight – ElevenLabs
AI isn't only crunching numbers in hospitals – it's also finding its voice. One of the buzziest tools in AI right now is ElevenLabs, a startup that's leading the charge in AI-generated speech. If you've ever heard a synthetic voice that made you do a double-take – say, a YouTube video narrated by what sounds like a real person or a familiar voice speaking lines it never actually recorded – chances are ElevenLabs was involved. This company has quickly become the go-to for ultra-realistic text-to-speech and voice cloning technology.
So what's the big deal? In a nutshell, ElevenLabs can produce spoken audio that is nearly indistinguishable from a human voice. You can type in any text, choose a voice style (or even clone a specific voice with permission), and out comes fluent, emotive speech. It supports a staggering range of languages and accents – developers and creators can generate speech in over 20 languages with various accents and emotional tones. That means you could have an AI voice read this paragraph in perfect Queen's English or with an upbeat Australian lilt, as formally or as casually as you'd like. The level of control is a game-changer for content creation, accessibility, and entertainment.
ElevenLabs' technology has already found a home in many industries. Think audiobooks narrated on the fly, video game characters with endless dialogue lines, or personalized virtual assistants that speak just the way you want. Indie authors are using it to create audiobook versions of their novels without hiring voice actors. YouTube creators use it to dub videos in multiple languages. And it has huge potential for people who have difficulty speaking – imagine giving someone back their voice through a personal AI clone that sounds just like them. The realism is sometimes uncanny, raising both excitement and some controversy (yes, it's the same tech that caused a stir when users cloned celebrities' voices without consent). In response, ElevenLabs has implemented safeguards and tools to detect AI-generated audio, emphasizing responsible use of its powerful platform.
What's fascinating is how fast the company is advancing. Back in January, ElevenLabs was valued at a whopping $3.3 billion after a new funding round – not bad for a company founded in 2022. Investors are pouring money into generative AI ventures like this, betting that voice will be a huge part of our AI future. And ElevenLabs isn't resting on its laurels. In early 2025, it launched a new speech-to-text model called "Scribe." Why would a voice company go into transcription? Because ElevenLabs clearly aims to cover the whole spectrum of voice AI. Scribe can transcribe audio in 99 languages (with impressively high accuracy – about 97% for English). Essentially, they want to be the one-stop shop for anything voice: talking or listening.
From a trend perspective, the rise of ElevenLabs signals that voice may be the next frontier of human-AI interaction. We've had AI that can see (computer vision) and AI that can chat in text – now AI is learning to speak and hear as we do. This could transform how we consume information. Articles could read themselves to you in your favorite voice. Customer service bots could actually talk naturally over the phone. Your smart home devices might soon have voices so charming and conversational that it feels like talking to a friend. And for those of us producing podcasts or videos, tools like ElevenLabs are like a creative superpower. Do you need a voiceover in Spanish or Japanese? Just click a button.
In this newsletter's context, it's easy to see why ElevenLabs deserves the spotlight. It's practical, it's a little bit magical, and it opens up a world of possibilities for content and communication. Whether you're an AI enthusiast or just someone who loves a good audiobook, keep an ear out for ElevenLabs. The line between human and synthetic voices is blurring, and that's going to make the world a pretty interesting place to listen to.
Fast Fact
Did you know? The U.S. FDA has now cleared over 1,000 AI algorithms for clinical use in patient care, a number that has skyrocketed in just the past few years. (Radiology AI leads the pack, accounting for about 3 in 4 of these approvals!)
Final Thoughts
That's a wrap for today. I hope you enjoyed this deep dive into the cutting edge of AI in healthcare – it's a field moving as fast as an AI diagnosis, and there was a lot to unpack! If you found this newsletter insightful, feel free to share it with a friend or colleague who loves to stay ahead of the curve. 😃
As always, I'd love to hear your thoughts. Do you have questions about today's stories or suggestions for future coverage? Just hit reply and let me know—your feedback helps shape the conversation.
Thank you for reading. Until next time, stay curious and keep innovating. I'll see you again soon with more First AI Movers insights!
Written by Dr Hernani Costa and originally published at First AI Movers. Subscribe to the First AI Movers Newsletter for daily, no‑fluff AI business insights, practical and compliant AI playbooks for EU SME leaders. First AI Movers is part of Core Ventures.
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