Gulf Nations Are in Pole Position for the Health AI Race Here’s Why the UK Has Fallen Behind

We make no representation or warranty regarding the accuracy of the information contained in the linked sites. We suggest that you always verify the information obtained from linked websites before acting upon this information. A Google-disclosed vulnerability last December affected AMD confidential computing  and required microcode updates. SK Biopharmaceuticals will be leveraging generative AI in developing a new solution to automate the creation of approval documents in the early stage of novel drug development.

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CDAO’s multi-vendor strategy reflects a deliberate effort to diversify risk, avoid vendor lock-in, and evaluate a wide spectrum of model architectures. The company poached several Google AI researchers to help with the effort—yet another sign of an intensifying war for top AI expertise in the tech industry. “This orchestration mechanism—multiple agents that work together in this chain-of-debate style—that’s what’s going to drive us closer to medical superintelligence,” Suleyman says. The experiment tested whether the tool could correctly diagnose a patient with an ailment, mimicking work typically done by a human doctor.

Despite this growing interest, there is no established framework to practically ensure that the chatbots’ outputs are accurate, ethical, and transparent. Awareness of the need for regulated mental health chatbots has increased significantly, with organizations such as the U.S. Food and Drug Administration, American Psychological Association, and the American Medical Association releasing policies to evaluate AI models. We can expect updates and new recommendations in the next 12 months as regulators and AI companies collaborate to enhance the safety of the technology. However, many AI models for mental health may fall outside of regulation by claiming to offer wellness services rather than care.

The generative AI in Healthcare market can be analyzed based on end user types, such as Pharmaceutical & Biotechnology Companies, Medical Device Companies, Healthcare Payers, Academic & Research Institutes, and Other End Users. This is due to their extensive use of AI in drug discovery, development, and clinical trials. AI helps these companies streamline processes, enhance precision in drug targeting, and reduce costs, making them the primary adopters of generative AI technologies. The growth in the healthcare providers segment for AI in healthcare is driven by the need for improved patient care and operational efficiency.

Generative AI in Healthcare Market Growing at 36–38% CAGR Amid Demand for Precision Care by 2029

These factors collectively contribute to the growth and evolution of the generative AI in healthcare market. At the same time, generative AI tools and LLMs are rapidly advancing, unlocking new ways for UK healthtechs to enhance healthcare outcomes for patients. Even in the last year, we’ve seen huge leaps in LLM capabilities that make our clinical AI tools more effective. And the buoyant funding market gives UK startups more resources to test new products and ideas.

Specific technology attests that a user is authorized and able to receive information or access the model. Confidential computing creates a hardware boundary in which AI models and data are locked. Information is released only to those models and agents with proper access to prevent unauthorized use of protected data. With those kinds of issues playing out in the real world, some top tech players are embracing the concept of “confidential computing,” which has existed for years but is now finding new life with the rise of generative AI (genAI).

The initiative marks a significant expansion of CDAO’s commercial-first acquisition strategy which leverages the speed and capability of private-sector AI development to supplement and, in some cases, replace slower traditional defense contracts. U.S. adversaries have stepped up their investments in military AI, with both China and Russia publicly announcing deployments of battlefield-relevant algorithms and autonomous systems. But the current UK system pushes founders to raise oversized funding rounds just to cover compliance costs and navigate complex rules. Instead of investing in R&D or hiring, startups are spending heavily on consultants to decode fragmented regulations.

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These efforts are expected to inform the integrity of agentic AI systems before full-scale rollouts. AI RCC is a key initiative of CDAO launched in December 2024 to accelerate the adoption of frontier and generative AI across both warfighting and enterprise domains. The contract recipients include OpenAI, Anthropic, Google Public Sector, and Elon Musk’s xAI.

Microsoft has taken “a genuine step toward medical superintelligence,” says Mustafa Suleyman, CEO of the company’s artificial intelligence arm. The tech giant says its powerful new AI tool can diagnose disease four times more accurately and at significantly less cost than a panel of human physicians. There is growing interest in this technology for applications that want “local data and local decision making with low latency,” said Sachin Gupta, vice president of infrastructure and solutions at Google. According to the latest KLAS data, Xsolis delivers rapid, tangible results in high-stakes areas like denials, length of stay, and payer-provider communication. With the overwhelming majority of users seeing measurable improvements within 12 months and nearly all reporting satisfaction with platform performance, Xsolis offers a compelling blueprint for using AI to address today’s mid-revenue cycle pain points. Also new to the Dragonfly platform is the addition of generative AI, which complements the platform’s predictive AI models.

• Dr. Zaid Al-Fagih is the Co-Founder and CEO of Rhazes AI, an award-winning AI-powered virtual assistant.
• The tool empowers doctors by boosting clinical productivity, reducing medical errors and burnout, and restoring the human connection in medicine.
• Across the world, the pace of AI development and the scale of its adoption are creating massive opportunities for individuals and governments.
• One of the UK’s top scientists recently remarked that NHS IT systems are ”slow, unreliable and devastatingly user-unfriendly”, with data trapped in siloed, hospital-by-hospital databases.
• The rollout will rely on existing Department of Defense AI platforms, including the Army’s Ask Sage LLM Workspace, the Advana analytics suite, the Maven Smart System, and the Edge Data Mesh.
• Along with the rest of the world, Africa is using artificial intelligence (AI) to crunch large datasets, boost productivity, improve customer relations and even save lives.

If they succeed, the contracts could serve as a template for a new era of AI-powered government operations. But if they fail, they could underscore the need for tighter controls over what is already one of the most powerful technologies ever introduced into federal systems. Either way, CDAO’s bold move has pushed the conversation and the deployment of AI in national defense into a new and consequential chapter. Beyond defense, the implications of these contracts could extend across the federal government. XAI, for instance, has positioned Grok for broader adoption through the General Services Administration, opening a path for non-DOD agencies to procure the same models. Observers have noted that if these AI systems prove effective in DOD environments, they could soon appear in civilian agencies managing everything from cybersecurity to regulatory enforcement.

• Once a document is uploaded to the hub – which can only be done by signed-up Tax Justice Network Africa members – the administrator is alerted so they can vet it.
• Sheba combines clinical excellence with system-wide innovation, aiming to integrate safe, effective, and compassionate AI into real-world care at scale.
• AI RCC is a key initiative of CDAO launched in December 2024 to accelerate the adoption of frontier and generative AI across both warfighting and enterprise domains.
• The doctors involved in the study may have taken into account factors that the AI could not, such as a patient’s tolerance for a procedure or the availability of a particular medical instrument.
• If they succeed, the contracts could serve as a template for a new era of AI-powered government operations.

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Ease of implementation and integration remain deal-breakers for many health systems evaluating tech platforms. KLAS respondents cited Xsolis’ ability to integrate seamlessly with EHRs, along with responsive customer service and executive involvement, as top reasons for selecting the platform. In this context, 89% of Xsolis users surveyed by KLAS say they rely on its AI to minimize preventable denials. Nearly 9 in 10 saw outcomes within the first year of implementation, a critical benchmark for hospital executives wary of long tech ramp-ups.

Without urgent investment in AI, the UK risks losing a generation of healthtech talent to faster-moving markets like the UAE and Qatar. The new Microsoft research differs from previous work in that it more accurately replicates the way human physicians diagnose disease—by analyzing symptoms, ordering tests, and performing further analysis until a diagnosis is reached. Microsoft describes the way that it combined several frontier AI models as “a path to medical superintelligence” in a blog post about the project today. ROCHESTER — At Mayo Clinic’s annual AI Summit in downtown Rochester, a group of physicians and scientists discussed how generative artificial intelligence is being used at Mayo Clinic — and how it’s driving the future of the health system.