The Renaissance of Clinical Intelligence.

Florence has long been associated with the careful renewal of human knowledge. The symposium adopts this setting deliberately. The aim is to think carefully about what it means for a clinician to reason, decide and act on behalf of a patient when algorithmic systems are present in the consultation.

The Renaissance was, in medicine as in the arts, a movement of disciplined attention. Florence 2026 returns to that posture: slow reading of evidence, respect for craft, and a refusal to mistake speed for understanding.

Medical AI is a family of statistical systems used at the point of care, in administration, in research and in education. Each use raises distinct questions of evidence, safety, equity and accountability.

These systems can extend what a careful clinician can see, but they can also obscure what a careful clinician should ask. The symposium examines both possibilities with equal seriousness.

Clinical judgement is the considered application of knowledge, experience and ethical commitment to a particular patient at a particular moment; it remains a human responsibility that cannot be outsourced to a model.

Responsibility for clinical decisions remains with the clinician and the team around them. The introduction of AI does not change this principle, and any institutional framework that suggests otherwise should be examined carefully.

Patient safety is the central commitment of the symposium. Algorithmic systems may improve outcomes, but only if they are evaluated rigorously before deployment and monitored continuously afterwards.

Public trust is earned through transparent governance, honest communication of uncertainty, and an unwillingness to claim more than the evidence supports.

Hospitals, universities and professional bodies are now asked to govern technologies they did not commission and cannot easily audit. The symposium considers what institutional readiness looks like in practice, including procurement, validation, monitoring, training and incident response.

Regulation is part of this picture. Local governance, professional standards and patient involvement matter equally.

The International Society of Medical AI is a clinician-led charitable society. Its position is academically serious, vendor-neutral and patient-centred.

The scientific programme is decided by the scientific committee on academic grounds. Industry support, where accepted, does not influence faculty selection, session content, abstract review or certificate decisions.