In healthcare, artificial intelligence cannot be approached as a mere automation topic. The clinical, regulatory and human stakes demand a high level of robustness, traceability and accountability.
It is in this context that an increasingly defining approach is emerging: hybrid AI. A technological choice that Doctreen made very early on.
But first, what is hybrid AI in healthcare?
A hybrid AI deliberately combines two complementary building blocks, each expert in its own role:
- Generative AI to understand, interpret and structure medical language as it is actually used in everyday clinical practice.
- Clinical decision trees to carry explicit reasoning, based on medical rules, practice standards and validated safeguards.
Hybrid AI does not seek to replace medical reasoning. It seeks to augment it, structure it and make it safer.
Generative AI: a major advance for clinical practice
Generative AI has profoundly transformed the usability of digital tools in healthcare.
It enables:
- fine-grained understanding of free medical language (dictation, observations, reports),
- handling of the variability of practices and phrasing,
- smooth interaction, aligned with the natural reasoning of healthcare professionals.
It frees clinicians from the constraints of the tool.
But by its nature, generative AI:
- runs on probabilistic models,
- does not reason according to explicit clinical rules,
- does not, on its own, carry the notion of medical responsibility.
In healthcare, this calls for a framework.
Decision trees: the foundation of explicit medical reasoning
Clinical decision trees provide what generative AI cannot guarantee on its own:
- formalised, traceable medical reasoning,
- explicit clinical rules, validated by experts,
- checkpoints, exclusions, alerts,
- stable results, essential in a regulated environment.
They form the core of structured clinical reasoning.
Their limitation is well known: without an interpretation layer, they are rigid and poorly suited to the natural language used in the field.
The hybrid architecture: a demanding technological choice
Hybrid AI relies on a clear division of roles:
- generative AI understands, interprets and structures clinical information expressed freely;
- decision trees apply medical reasoning, secure the choices made and ensure compliance.
This model enables:
- a smooth experience for the clinician,
- controlled, explainable and traceable clinical reasoning,
- an AI that assists, never an autonomous decision-maker.
This is not a technical compromise. It is a responsible architectural choice.
Why Doctreen made this choice
Doctreen chose hybrid AI because developing a clinical tool is not about producing plausible answers, but about equipping real medical practice, with its constraints, its responsibilities and its requirements.
Hybrid AI makes it possible to:
- respect the clinician's freedom of expression,
- guarantee explicit and safe medical reasoning,
- keep human expertise at the centre of the system.
This choice is more complex to design and takes longer to develop, but it is far more robust over time.
A cross-cutting foundation for all specialties
This approach is not specific to one discipline.
It applies to all specialties where:
- language is complex,
- decisions must be explainable,
- responsibility is critical.
Radiology, nuclear medicine, pathology, cardiology…
Hybrid AI is a cross-cutting technological foundation, able to adapt without giving up control.
Conclusion: mature and responsible medical AI
Today, many talk about AI in healthcare. Few are able to truly integrate it into clinical practice in a way that is safe, explainable and responsible.
Doctreen is today the only startup to have industrialised an operational hybrid AI, combining generative AI and clinical decision trees, deployed in the service of healthcare professionals, in real and constrained environments.
This positioning is not an empty announcement. It is the result of:
- a demanding technological choice,
- in-depth work with medical experts,
- and a clear vision of what AI in healthcare should be.
The future of medical AI will not be fully automated. It will be hybrid, explainable and guided by human expertise.
And in this field, Doctreen has clearly taken the lead.
