Artificial intelligence
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This branch covers AI as medical writers encounter it, divided by the question about the technology: system types, adoption, practical use, responsibility, attitudes and regulation. It leaves machine-learning methodology to statistical models, journal submission requirements to publisher policy, translation-market effects to medical translation, and disclosure-specific anonymisation tools to preparing documents for public disclosure.
- Rules-based and generative AI systems — explicit rules, learned generation, model training and technical vocabulary
- Adopting AI — selecting uses, discovering and vetting tools, evaluating value and preparing processes
- Working with AI tools — workflow tools, prompting, literature review, output evaluation, images and regulatory drafting
- Using AI responsibly — ethical accountability, generated-text detection and disclosure, and confidential inputs
- Attitudes, trust and expectations — people’s experiences, perceptions, trust and expectations for medical-writing work
- AI law and regulation — the EU AI Act, medicines, devices, writing tools and regulation’s relationship with innovation