Curovana Blog
Notes on clinical reasoning, simulation and medical AI, from a team building tools for the people who practise medicine.
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Clinical World Models
Clinical AI should have a biological backbone it cannot override. The backbone computes biology from first principles; machine learning handles uncertainty.
Measuring Better Antibiotic Decisions
How scenario-based training can reveal the judgment patterns behind inappropriate prescribing.
Inside Scenario-Based Medical Training
A look at the anatomy of a realistic clinical case: patient behavior, physiology, pharmacology, and feedback.
Validating AI Agents Before Bedside Use
Clinical AI should be evaluated on decision quality, escalation behavior, and uncertainty handling.
Designing Feedback Loops for Clinicians
The best learning systems do more than grade an answer. They show how a decision changed the patient trajectory.
Research Dispatch
Notes from the edge of clinical simulation.
Our earlier writing explores simulation, clinical learning and antimicrobial stewardship. That work remains part of a broader direction: AI tools for doctors, connected clinic operations, and better ways to examine medical AI decisions.