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Articole: 13
  1. Journal club slides on Brodeur et al. (2026), Performance of a large language model on the reasoning tasks of a physician (Science).

  2. The interactive companion to Part 2 of the AI primer for clinicians.

  3. Part 2 of the AI primer for clinicians: what large language models and agents actually do, how they fail, and how to use them safely.

  4. The first lecture in a primer series introducing artificial intelligence concepts for clinicians.

  5. Exploring the feasibility of adding support for CQL in FHIR Questionnaires (and eventually to lforms), enabling the execution of user-provided CQL expressions and libraries within questionnaires in the browser.

  6. Explore the Hierarchical Navigable Small World (HNSW) algorithm through interactive visualizations and demos, providing an in-depth understanding of its mechanics and applications in similarity search.

  7. Learn the basics of Python programming with this beginner-friendly, interactive tutorial.

  8. Explore the K-Nearest Neighbors (KNN) algorithm and how it helps in similarity search.

  9. Doing cool things by combining WebCrypto and IndexedDB

  10. What do these things have in common?

  11. Automate creating staging environments to easily see your changes before deploying

  12. AKA how I took too long to discover Python's Protocol classes

  13. Just a few key points