Sign inGet started
Paper · arXiv

The MADRS Pipeline: Supporting Depression Assessment in Clinical Trials

Depression is a major mental disorder for which diagnosis relies primarily on clinical assessments. Automated methods to support its detection via the psychiatric MADRS scale are getting more and more attention. While existing solutions primarily focus on detecting the disorder from different text sources (e.g., online text, social media), there is still limited support for clinical trials, where clinical assessments are conducted through structured interviews based on standard guidelines such as SIGMA. In this work, we develop a LLM pipeline specifically designed to support clinicians in supporting the assessment of depression in patients enrolled in clinical trials. Our pipeline convert...

AuthorsMila Fodor, Katalin Ócsai, Francesco Periti et al.
Primary categorycs.CL
Published30 July 2026
Last updated at source30 July 2026
cs.CLcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/e45d621c-d093-4ea3-948b-309c4b90bb75" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.