Browse articles

Source

• Source name: npj_digital_medicine
• Source kind: paper
• Authors / organization: npj_digital_medicine
• Venue: npj_digital_medicine
• Published: 2026-08-17
• Collected: 2026-08-17
• URL: https://www.nature.com/npjdigitalmed/articles
• PDF: UNKNOWN
• DOI: UNKNOWN
• Registry group: journals_and_publishers
• Evidence role: peer_reviewed_journal
• Language: en
• Country / region: UNKNOWN

Plain-Language Brief

The article titled 'MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks' discusses a new system called CliniSense, which uses artificial intelligence to evaluate clinical skills. The research was published by Yuxing Lu, Sin Yee Goi, and Jinzhuo Wang in August 2026.

What the Document Says

• The article is titled 'MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks'.
• It was published by Yuxing Lu, Sin Yee Goi, and Jinzhuo Wang in August 2026.
• The article discusses CliniSense AI for automated clinical skills assessment.

Key Concepts Mentioned

• Article
• MultiMed-RAG
• CliniSense AI
• Automated clinical skills assessment

Claims Made by the Document

• The article discusses a new system called CliniSense.

Evidence Used

• The discussion about the CliniSense system is found in the text of the article.

Methods / Approach

UNKNOWN

Limitations Stated by the Authors

UNKNOWN

Limitations Noted by the Agent

Agent interpretation — not from the source.

UNKNOWN

Open Questions

UNKNOWN

Notes for Future Q&A

May include interpretation. Labeled where it does.

UNKNOWN

Raw Abstract / Excerpt

Browse articles ics Agriculture Business and industry Developing world Energy and society Forestry Geography Scientific community Social sciences Water resources Search Part of the npj Series Published in partnership with Advertisement Browse articles MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks Yuxing Lu Sin Yee Goi Jinzhuo Wang Article Open Access 17 Aug 2026 CliniSense AI for automated clinical skills assessment with re