Machine versus human: Can Koda replace expert drug coders?
Exploring how WHODrug Koda performs in real‑world clinical data workflows: strengths, gaps, and what still requires human review.
Exploring how WHODrug Koda performs in real‑world clinical data workflows: strengths, gaps, and what still requires human review.
This is a follow-up on our previous blog entry on large language models (LLMs) and first experiences using the publicly available chatbots, based on LLMs. It is worth noting that during creation of this blog post, the AI technology already advanced and an upgraded version of model GPT- 3.5 (on which ChatGPT was based) has become available (GPT-4).
The importance of artificial intelligence (AI) and its potential impact on the workforce has entered the limelight in the last weeks of the year 2022. News outlets and internet websites reported on a groundbreaking achievement in AI: the development of chatbots based on large language models (LLMs) that can be used by the general public in an intuitive, conversational and user-friendly manner
Artificial Intelligence (AI) supported technologies play a crucial role in clinical research: For example, during the COVID-19 pandemic the Biotech Company BenevolentAI found through a machine-learning approach that the kinase inhibitor Baricitinib, commonly used to treat arthritis, could also improve COVID-19 outcomes.
Wir leben im Zeitalter der digitalen Revolution. Was heißt das eigentlich? Die Entwicklung der Menschheit hat 3 industrielle Revolutionen durchlaufen. Geprägt waren diese durch die unaufhaltsame disruptive Entwicklung und permanente Optimierung der Effizienz von Produktionsmaschinen