Connectionists: [CfP] MultiClinSum: Multilingual Clinical Text Summarization Shared Task

[Miguel Rodríguez Ortega]

CFP MultiClinSum (CLEF/BioASQ 2025): Multilingual Clinical Text
Summarization Shared Task

https://temu.bsc.es/multiclinsum

The MultiClinSum shared task focuses on the automatic summarization of
clinical texts in different languages, i.e. English, Spanish, French and
 Portuguese

Key Information:

   -

   Web: https://temu.bsc.es/multiclinsum
   -

   Data: https://zenodo.org/records/15463353
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   BioASQ: http://bioasq.org/
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   Registration: https://temu.bsc.es/multiclinsum/registration/


Motivation:

There is a rapid accumulation of various types of clinical content,
including medical records and specialized publications such as clinical
case reports. As a result, it is becoming increasingly challenging for
healthcare professionals, biomedical researchers, and patients to process
lengthy clinical documents in order to gain a clear understanding and
overview of the key medical insights underlying patient conditions and
outcomes.

This challenge applies not only to clinical content in English but also in
other widely spoken languages such as Spanish, French, and Portuguese.
Recent advances in automatic summarization and the use of large language
models (LLMs) have shown promising results in condensing lengthy clinical
texts into shorter summaries, effectively reducing their length while
preserving essential clinical information.

Use cases and application scenarios for automatic clinical text
summarization include:

   -

   Clinical Decision Support: Summarization condenses of electronic health
   records (EHRs) into key events, diagnoses, medications, and outcomes,
   aiding timely and informed decisions.
   -

   Patient Discharge Summaries: Automatically generate readable, concise
   summaries from detailed clinical notes, enhancing continuity of care and
   patient understanding.
   -

   Medical Literature Review: Summarize key findings, methodologies, and
   outcomes from scientific articles to facilitate rapid literature reviews.
   -

   Multilingual Clinical Communication: Summarization systems, combined
   with translation, enable understanding across language barriers by
   distilling essential content from foreign-language reports.
   -

   Telemedicine & Remote Consultations: Summarized patient data supports
   fast review and focused diagnostics in remote care settings.
   -

   Clinical Trial Screening: Summarized profiles can accelerate eligibility
   assessment by highlighting key inclusion/exclusion criteria.
   -

   Medical Coding and Billing: Summarization helps highlight billable
   actions, diagnoses, and procedures to streamline medical coding workflows.
   -

   Patient-Facing Summaries: Summarization tools can generate simplified or
   lay-language versions of complex medical content to improve patient
   engagement and health literacy.


In light of recent technological advances, there is a pressing need to
evaluate and benchmark the effectiveness of clinical summarization for case
reports written in different languages.

MultiClinSum focuses on the automatic summarization of full clinical case
reports in multiple languages—namely English, Spanish, French, and
Portuguese. Since clinical case reports share certain similarities with
electronic medical records, particularly discharge summaries, the insights
derived from MultiClinSum may have practical relevance for clinical text
analysis and various medical applications.

This task is based on a corpus of manually selected full clinical case
reports along with their corresponding author-provided short summaries.

For evaluation purposes, automatically-generated summaries will be compared
against human-generated summaries written by the original clinical authors,
using Rouge-2 scores and  BERTScore for evaluation assessment. The
evaluation for each language will be done separately, and participants are
encouraged to explore both monolingual and multilingual approaches as they
wish. Thus the following sub-tasks will be posed: MultiClinSum-en (English
data), MultiClinSum-es (Spanish data), MultiClinSum-fr (French data) and
MultiClinSum-pt (Portuguese data).

Participating teams are requested to implement or evaluate automated
systems that generate summaries from full clinical case reports.


Schedule

   -

   MultiClinSum Sample Set: April 9th, 2025
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   MultiClinSum Train/Dev Set: May 16th, 2025 (updated!)
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   MultiClinSum Test Set: May 28th, 2025 (updated!)
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   Participant Test Predictions Deadline: June 2nd, 2025 (updated!)
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   Participant Evaluation Result Release: June 6th, 2025 (updated!)
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   Submission of Participant Papers Deadline: June 18th, 2025 (updated!)
   -

   Notification of Acceptance of Participant Papers: June 27th, 2025
   -

   Submission of Camera-ready Participant Papers Deadline: July 7th, 2025
   -

   BioASQ @ CLEF2025: September 9th-12th, 2025



-- 
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*Miguel Rodríguez Ortega*


*Research Engineer*
NLP for Biomedical Information Analysis - Life Sciences
*Barcelona Supercomputing Center – Centro Nacional de Supercomputación*
miguel.rod.bsc at gmail.com
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