By Mark Watts
In the rapidly evolving world of medical imaging, we’ve come to understand two distinct forms of AI. On one hand, there’s Generative AI – the powerful but passive assistant we’ve grown accustomed to. Great for summarizing data or drafting reports, but ultimately a tool that lacks the ability to execute complex workflows on its own. Then we have Agentic AI, which is a more autonomous system designed to plan and execute multi-step processes with minimal human input. While Retrieval Augmented Generation (RAG) has given us a glimpse of how to ground generative AI in a foundation of reliable, up-to-date information, a new architectural leap is emerging that doesn’t just improve how AI works, but fundamentally changes its role.
THE RISE OF A DIGITAL CONSULTING BOARD
That leap is the rumored multi-experts feature of GPT-5. Instead of a single, monolithic AI model trying to be an expert in every field, this new architecture leverages a Mixture of Experts (MoE). This means the model is composed of a series of specialized sub-models, each a “domain expert” in a specific area of medicine. When a complex patient case is presented, a central “router” intelligently delegates different parts of the inquiry to the appropriate expert modules. For a neuro-oncology patient, this could mean an expert on radiology interpreting the MRI, another on genomics analyzing the tumor’s mutations, and a third on oncology reviewing the latest treatment protocols.
This is a profound shift. We are moving from a single tool to a digital consulting board – a virtual grand rounds where specialized AI agents collaborate seamlessly to analyze a patient’s case. Their power lies not in their individual brilliance, but in their collective ability to synthesize a vast amount of specialized knowledge.
THE MAYO DOCTRINE: NOT EGO, BUT EXCELLENCE
This emerging AI architecture mirrors and supercharges a philosophy of care that has long been the gold standard at institutions like the Mayo Clinic. The famous Mayo doctrine is not about celebrating a single, brilliant physician. It’s a deliberate rejection of professional ego in favor of a singular, uncompromising commitment to excellence for the patient. The Mayo model is built on the principle that the best possible care for a single patient – the N of 1 – comes from bringing together a diverse, multidisciplinary team of experts to collaborate on their case.
The multi-expert AI system is the digital embodiment of this very philosophy. The individual AI modules don’t compete; they collaborate. Their singular purpose is to serve the patient’s needs by contributing their specific expertise without the friction, scheduling conflicts, or cognitive biases that can sometimes arise in human collaboration.
HOW MULTI-EXPERT AI SUPERCHARGES THE N OF 1
Let’s imagine that same neuro-oncology patient again. With a multi-expert AI, the radiologist isn’t just getting an image flagged for a tumor; they’re getting a comprehensive, integrated report. The system’s radiology expert analyzes the scan, the genomics expert identifies a rare genetic marker, and the oncology expert cross-references that marker with a global database of clinical trials and successful treatments. The final output isn’t just a radiology report or a pathology summary; it’s a synthesized, “N of 1” treatment plan that provides the entire care team with a complete picture.
This allows for a level of precision and personalization that is currently unachievable at scale. It ensures that every patient, no matter where they are in the world, can benefit from the collective wisdom of an interconnected, “expert” team. This system’s power lies in its ability to synthesize information from a patient’s EHR, their imaging, and their genetic data, and then compare it to millions of other cases to find the most effective path forward. This isn’t just about making workflows more efficient; it’s about fundamentally elevating the standard of care.
This new class of AI is not simply a better tool. It is a new collaborator that mirrors our highest ideals in medicine: a relentless focus on the patient and a commitment to excellence that supersedes all else. •
Mark Watts is an experienced imaging professional who founded an AI company called Zenlike.ai.
