New to medical AI?
Start with the key terms
LLMs, hallucinations, algorithmic bias, clinical decision support, and other concepts physicians increasingly encounter in tools, studies, and software descriptions.
Read the glossarySwissMed AI helps clinicians, hospitals, and practices stay oriented in a fast-moving AI landscape through practical articles, curated tools, and Swiss-focused analysis.
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AI InsightsStart With SwissMed AI
Begin with the core terminology, read the latest analysis, or explore the tools and deployments shaping medical AI in Switzerland.
New to medical AI?
LLMs, hallucinations, algorithmic bias, clinical decision support, and other concepts physicians increasingly encounter in tools, studies, and software descriptions.
Read the glossary
Latest analysis
Das SwissMedAI-Toolverzeichnis listet über 100 KI-Tools für das Schweizer Gesundheitswesen — gewählt, nach Datenschutzkriterien gefiltert und kostenlos zugänglich. Die wichtigsten Neuerungen im Überblick.
Read latest insightLooking for real-world context?
Use the directory and Swiss Healthcare AI Map to see which tools exist and where AI is already being used in Swiss healthcare.
The Numbers
Documented figures from Swiss physicians, hospitals, and federal health authorities — not projections.
Physician stress
50% of Swiss primary care doctors feel very or extremely stressed — up from 30% a decade ago.
BAG / Commonwealth Fund International Survey · 2025, published 2026
Unrealized savings
CHF 8.2 billion per year could be saved through digitalization of Swiss healthcare.
McKinsey & ETH Zurich · 2021
Openness to AI
More than 4 in 5 Swiss healthcare professionals can imagine using AI to automate routine tasks.
Swiss eHealth Barometer 2026 · BAG / gfs.bern · 1'100+ healthcare professionals
What SwissMed AI Does
New tools, studies, and implementation stories appear every week. SwissMed AI follows the field so healthcare professionals can quickly understand what is relevant, what remains uncertain, and what may matter in Switzerland.
Concise updates that place medical AI developments in clinical context for physicians and healthcare teams.
Focused on the realities of Swiss healthcare, including implementation, regulation, language, and institutional needs.
Concrete use cases, workflows, and limitations with direct relevance to everyday clinical and organisational decisions.
A curated view of medical AI tools and real-world deployments in Swiss healthcare, connecting what exists with where it is already being used.
Who It's For
Stay oriented on AI tools, studies, and use cases that may affect your specialty or daily work.
Understand what is being used, what requires caution, and which questions matter before adoption.
Track medical AI evidence, terminology, and Swiss implementation examples as the field matures.
Present your medical AI solution in a clinically curated Swiss context, and follow how the healthcare AI landscape is evolving across tools, evidence, and real-world adoption.
In the Media
AI in Schweizer Medizin: Kontrolle hinkt hinterher
Read articleWas passiert, wenn KI Diagnosen stellt – und dabei zu früh aufhört zu denken?
Read article„Ärztinnen und Ärzte brauchen KI – aber vor allem Orientierung"
Read articleMehr Zeit, weniger Ehrlichkeit? Der Preis der KI-Dokumentation
Read articleDer KI-Dschungel im Gesundheitswesen wird dichter. Diese zwei Seiten helfen.
Read article
Laila Fröhlich
Physician · Founder & Editor
Internal medicine physician, based in Switzerland.
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