posted by organizer: d_cafolla || 358 views || tracked by 2 users: [display]

AiIH 2025 : International Conference on AI in Helthcare

FacebookTwitterLinkedInGoogle

Link: https://aiih.cc/
 
When Sep 8, 2025 - Sep 10, 2025
Where Cambridge
Submission Deadline Apr 11, 2025
Notification Due Jun 26, 2025
Categories    AI   healthcare   robotics   machine learning
 

Call For Papers

Deadline: 11 April 2025


Submission to AIiH 2025 is now open, with submission deadline the 11th of April 2025. AIiH 2025 is a single track conference with oral and poster presentations and will include 5 keynote presentations and one conference tutorial on LLM. The conference will also feature a plenary session that focuses on responsible AI for Healthcare. This second edition will be hosted in the Jesus College, University of Cambridge.

Authors are invited to submit full-length high-quality papers in both theory and/or application areas that are closely relevant to the conference. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation. Submissions for special sessions are also welcomed. Special session papers are reviewed in the same way as main sessions (double blind review for full papers and the same page limit) and papers are included in the proceedings for accepted full papers.

Full papers will be published in the Springer LNCS proceedings.

AIiH 2025 also welcomes short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. Abstracts will be archived with DOIs.


1. ABOUT THE CONFERENCE
AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare.

The first edition of the conference was held in the beautiful city of Swansea, with delegates from 20 different countries. The papers submitted to AIiH 2024 were thoroughly reviewed by up to four referees per paper and the full papers were published in the Springer LNCS proceedings. The best paper and best poster prizes were selected and awarded at the conference. Two finalists in the best paper category were invited to submit extended version to the Journal of Big Data Mining and Analytics (IF: 7.7). AIiH 2024 also offered 5 bursaries to students in order to encourage wider participation, particularly where financial support was needed. More details about AIiH 2024, including the 9 invited talks and conference proceedings, can be found here: https://aiih.cc/aiih-2024/



1. TOPICS OF INTEREST
The conference welcomes submissions of novel research work in the following areas, but not limited to:
- Ethics of AI in Healthcare
- Predictive Analytics in Healthcare
- AI driven proactive care and predictive intervention
- AI driven early diagnosis and prevention
- Machine and deep learning approaches for health data
- Medical signal and image processing
- AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)
- Digital and virtual pathology / neurology
- AI in Pharmacology: drug discovery and drug development
- AI driven Digital Twinning in Oncology/Medicine
- Precision Medicine and AI
- AI for drug screening and discovery
- AI led personalised healthcare
- AI-aided large-scale cohort data analyses
- Patient-centred AI design
- Assisted living technology
- Healthcare workflow optimisation and automation
- AI driven robotics for healthcare
- AI in mental health
- Patient data and privacy
- AI in proactive health management


2. KEYNOTE SPEAKERS
https://aiih.cc/keynote/

Prof. Kerstin Denecke
Bern University of Applied Sciences, Switzerland

Prof. Yulan He
Kings College London
Keynote Title: “Advancements in Pharmacovigilance with Large Language Models”

Prof. Daniel Elson
Imperial College London
Keynote Title: “AI for Surgical Imaging”

Prof. Elvira Perez Vallejos
University of Nottingham & RAI UK

Prof. John Gallacher
University of Oxford


3. CONFERENCE TUTORIAL
https://aiih.cc/tutorial/

Dr. Meng Fang
University of Liverpool
Tutorial Title: “Large Language Models”


4. CALL FOR PAPERS
https://aiih.cc/call-for-papers/


5. IMPORTANT DATES

Full Paper submission deadline: Friday 11 April 2025

Author notification: Monday 26 May 2025
Author registration deadline: Friday 13 June 2025
Early registration deadline: Monday 14 July 2025
Main conference: Monday 8 – Wednesday 10 September 2025


6. KEY ORGANISERS

GENERAL CHAIR
Daniele Cafolla, Swansea University, UK

PROGRAMME CHAIRS
Timothy Rittman, University of Cambridge, UK
Hao Ni, University College London, UK


7. CONTACT
contact@aiih.cc

Related Resources

IEEE-Ei/Scopus-ITCC 2025   2025 5th International Conference on Information Technology and Cloud Computing (ITCC 2025)-EI Compendex
AiMH 2025   1st International Conference on AI in Medicine and Healthcare
SPIE-Ei/Scopus-DMNLP 2025   2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025)-EI Compendex&Scopus
PJA 78 (1) 2027   AI, Art, and Ethics - The Polish Journal of Aesthetics
ICoSR 2025   2025 4th International Conference on Service Robotics
AIiH 2024   Artificial Intelligence in Healthcare
SPIE-Ei/Scopus-CMLDS 2025   2025 2nd International Conference on Computing, Machine Learning and Data Science (CMLDS 2025) -EI Compendex & Scopus
AI in Evidence Synthesis 2025   AI in Evidence Synthesis (Cochrane Evidence Synthesis and Methods)
FPC 2025   Foresight Practitioner Conference 2025
AMLDS 2025   IEEE--2025 International Conference on Advanced Machine Learning and Data Science