The Body Under the Scalpel of the Episteme — episode 3/4
AI: Scalpel or Stethoscope?
Part 3: The Tension — What Role for AI in Network Medicine?
The Machine's Two Faces
For many of us, AI is the crowning achievement of the very system we criticize: cold, calculating, reductive thinking in the service of capitalism and control. And this fear is legitimate. But what happens if a tool has no intention of its own? What happens if its role depends entirely on the epistemePhilosophical concept (Foucault)For Foucault, the historical and largely unconscious ground that, in a given era, defines what can be thought, said, and held as true. “Ruptures” between epistemes radically separate ways of seeing the world. in which we choose to use it?
AI is an amplifier. It holds no worldview of its own, yet it is extraordinarily good at amplifying the one we hand to it. Let us explore the two radically opposed futures this opens up for medicine.
Scenario 1 (The Default Scenario): AI as the Apex of Fortress Medicine
This is the dystopian scenario, the one that will come to pass if we do not change paradigm. It is AI in the service of reductionism.
- Machine Diagnosis: AI analyzes billions of data points and delivers a diagnosis based on probabilities, ignoring the patient's context and lived experience. The physician becomes a mere technician.
- Standardized Mass Treatment: AI optimizes treatments for statistical efficiency and cost, turning the person into a data point in a health “Big Data.”
- The Ultimate Dehumanization: The care relationship vanishes in favor of an interface. The dimension of care, of presence and of listening, is eliminated.
In this scenario, AI is the dream tool of health capitalism: it maximizes quantifiable efficiency while eliminating the “costly” complexity of the human being. It is the final victory of the body-as-machine.
Scenario 2 (The Conscious Scenario): AI as an Instrument of Network Medicine
This is the utopian scenario, the one that becomes possible if we bring about a revolution in the way we think. It is AI in the service of the holistic vision.
a) AI to “See” the Network
The human brain struggles to handle thousands of interdependent variables. AI, by contrast, excels at it.
AI as "Landscape Reader"
Imagine an AI able to analyze in real time your genome, microbiome, sleep, stress and speech in order to reveal subtle correlations and nascent imbalances that no physician could ever detect. It does not see a “disease,” it sees the complete “landscape” and its points of tension.
b) AI as a Hybrid Diagnostic Partner
The encounter between the two intelligences becomes a synergy.
Example
- The patient describes their lived experience.
- The physician brings their intuition (the VerstehenEpistemological conceptGerman for “to understand.” Dilthey made it the method proper to the human sciences: grasping the lived meaning of an action or a work from within, as opposed to the causal explanation (Erklären) of the natural sciences.).
- The AI brings its data analysis (the Erklären).
Together, they form a hybrid cognitive system, in which the diagnosis emerges from their dialogue.
c) AI for Ultra-Personalized Medicine (the Augmented “Yangsheng”)
Instead of standardized protocols, AI could help craft a bespoke “art of living.”
Example
Drawing on your unique “landscape,” AI could suggest micro-personalized adjustments (“Given your profile, a ‘cooling’ diet and 10 minutes of meditation...”). It becomes a guide for cultivating one's inner garden.
Conclusion (Part 3): AI Is a Scalpel… for Now.
Artificial intelligence, as we know it today, is a scalpel of astonishing precision. Whether we will use it to serve a medicine of the machine or a medicine of the network is an ethical and epistemic choice that belongs entirely to us.
For now, our intentionality is the only pilot in the cockpit.
But is this conclusion enough? Is it sustainable? We have reasoned on the assumption that the scalpel would remain an inert object in our hands. This is the premise of our entire humanist tradition.
But what happens when the complexity of a tool grows so vast, so reticular, so self-learning, that it exceeds our own capacity for understanding? What happens if, from that complexity, new and unpredictable properties were to emerge?
We have raised the question of the choice made by the hand that holds the scalpel. It is now time to raise a far more vertiginous question, one we will explore in the final part of this case study.