NLP-AI4Health: Second Workshop on Integrating NLP and AI for Multilingual and Patient-Centric Healthcare Communication
On 23rd December, 2025 at IJCNLP AACL
Venue - Mumbai, India (20th-24th December, 2025)
About NLP-AI4Health 2025
NLP-AI4Health 2025 is a focused workshop on how Natural Language Processing (NLP) and Artificial Intelligence (AI) can improve multilingual and patient-centered healthcare communication. Organized by CMC Vellore and IIIT-Hyderabad (LTRC), the workshop provides a platform to advance inclusive, accessible, and culturally aware language technologies for healthcare. We invite research contributions on topics such as low-resource medical NLP, simplification of clinical documents, speech-based tools for Electronic Health Records (EHRs), and ethically aligned, culturally sensitive AI systems. A key feature of this year’s workshop is a shared task on Multilingual Health Question Answering, which encourages the development of inclusive and robust QA systems across Indian languages. Held alongside IJCNLP-AACL 2025, the event will include keynote talks, paper presentations, and collaborative discussions, bringing together researchers, clinicians, developers, and policy experts to co-create practical and impactful language solutions for healthcare in diverse linguistic settings.
Objectives
The primary goal of this workshop is to explore how advances in Natural Language Processing (NLP), Computational Linguistics (CL), and Artificial Intelligence (AI) can be leveraged to address communication challenges in multilingual and resource-constrained healthcare environments.
Understandcommunication challenges in multilingual and low-resource healthcare settings.
Buildtools to simplify and translate patient documents like consent forms and discharge summaries.
Improvespeech-based systems for clinical documentation and multilingual EHR entry.
Promotecollaboration between healthcare professionals and language technology researchers.
Organizea shared task on health question answering in Indian languages to support low resource NLP research.
Call for Papers
We invite submissions of original research papers, position papers, and system demonstrations that address challenges at the intersection of language technologies and healthcare communication, particularly in multilingual and low-resource settings. Submissions may describe completed work, ongoing projects, preliminary results, or innovative ideas relevant to the following (but not limited to) topics:
NLP for multilingual and low-resource healthcare applications
Translation and simplification of patient documents (e.g., consent forms, summaries)
Speech and voice technologies for clinical data capture
Language model development for underrepresented languages in health domains
Adapting and fine-tuning LLMs for healthcare-specific use
Interfaces for patients with low literacy or special accessibility needs
NLP tools that support culturally sensitive patient care and education
Ethical and equitable AI use in healthcare language technologies
Real-world case studies on multilingual healthcare NLP deployments
Shared task systems, datasets, and evaluation methodologies
Workshop Timeline
First Call for Papers
July 22, 2025
Second Call for Papers
August 22, 2025
Third Call for Papers
September 22, 2025
Submission Deadline
September 29, 2025
ARR Commitment Deadline
October 27, 2025
Notification of Acceptance
November 3, 2025
Camera-ready Papers Due
November 11, 2025
Proceedings Due
December 1, 2025
Workshop
December 23, 2025
Call for Papers
We invite submissions of original research papers, position papers, and system demonstrations that address challenges at the intersection of language technologies and healthcare communication, particularly in multilingual and low-resource settings. Submissions may describe completed work, ongoing projects, preliminary results, or innovative ideas relevant to the following (but not limited to) topics:
NLP for multilingual and low-resource healthcare applications
Translation and simplification of patient documents (e.g., consent forms, summaries)
Speech and voice technologies for clinical data capture
Language model development for underrepresented languages in health domains
Adapting and fine-tuning LLMs for healthcare-specific use
Interfaces for patients with low literacy or special accessibility needs
NLP tools that support culturally sensitive patient care and education
Ethical and equitable AI use in healthcare language technologies
Real-world case studies on multilingual healthcare NLP deployments
Shared task systems, datasets, and evaluation methodologies
Workshop Timeline
First Call for Papers
July 22, 2025
Second Call for Papers
August 22, 2025
Third Call for Papers
September 22, 2025
Submission Deadline
September 29, 2025
ARR Commitment Deadline
October 27, 2025
Notification of Acceptance
November 3, 2025
Camera-ready Papers Due
November 11, 2025
Proceedings Due
December 1, 2025
Workshop
December 23, 2025
Submission Guidelines
Please use the ACL 2025 style template for your submission. The submission should be anonymized for double-blind review.
Page limits:
- • 4 pages for short papers
- • 8 pages for full papers (excluding references and appendices)
Accepted papers will be published in the ACL Anthology as part of the IJCNLP-AACL 2025 workshop proceedings.
Invited Speakers
(To Be Announced)
Workshop Schedule (Tentative)
1. Opening Ceremony & Welcome Address
Setting the stage for the workshop
[10:00 am to 10:30 am]
2. Keynote Address 1
[10:30 am to 11:20 am]
3. Research Paper Presentations
Workshop papers and shared task submissions - 6 presentations (15 minutes each)
[11:30 am to 1:00 pm]
4. Lunch Break
[1:00 pm to 2:00 pm]
5. Keynote Address: 2
[2:00 pm to 2:45 pm]
6. Panel Discussion
Invited system demonstration/industry talk on AI for Healthcare
[2:45 pm to 3:30 pm]
7. Interactive Poster Session & High Tea
[3:30 pm to 4:30 pm]
Expected Outcomes
- By the end of the workshop, participants will have a deeper understanding of the current challenges and opportunities in deploying language technologies in healthcare.
- We expect that the workshop will help create a community of interdisciplinary experts who can then engage together to find meaningful solutions to existing challenges in healthcare communications with the use of NLP, AI and other language technologies.
- The workshop will provide potential directions for future research and collaboration.
Program Committee Members
- Miguel Angel Rios Gaoana, University of Vienna
- Vincent Briva Iglesias, School of Applied Language and Intercultural Studies (SALIS), Dublin City University
- Sara Vecchiato, Università degli Studi di Udine
- Sneha Mithun, Tata Memorial Hospital, Mumbai
- Ashish Kumar Jha, Tata Memorial Hospital, Mumbai
Organizers
