[visionlist] AI in Healthcare Conference (8-11/09, Cambridge) Deadline Extension: 22/04

[Xianghua Xie]

Due to popular requests, AIiH 2025 is extending the paper submission deadline by one week. Taking into account Good Friday and Easter Monday, the final submission deadline is Tuesday 22 April (no further extension). All other dates are not affected.


INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
8 - 10 September 2025, Jesus College, University of Cambridge, UK
https://aiih.cc

Deadline: 22 April 2025 (FIRM)

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, and AIiH 2025 has accepted 8 Special Sessions proposals that cover a wide range of topics. 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. 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.

Best Paper award winners and runner-ups will be invited to submit extended versions to the Journal of Big Data Mining and Analytics (2024 IF 7.7). AIiH 2025 will also publish a special issue in the CAAI Journal of Artificial Intelligence Research, and the Special Session on Intelligent Systems & Robotics will publish a special issue in the International Journal of Advanced Robotic Systems.

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. SPECIAL SESSIONS

Embedded with main sessions in a single track fashion, special sessions are dedicated slots to highlight specific challenges and developments that are timely and of particular importance and interest. AIiH 2025 has accepted a number of Special Session proposals, which are listed below. Note that submission deadline (both full papers and abstracts) for special sessions is 11 April. Abstracts submitted after the April deadline can only be considered as late-breaking abstracts for the main sessions.

- Advancing Multi-Modal and Multi-Omics Data-Driven Approaches Towards Personalised Healthcare

- Intelligent Systems & Robotics for Advanced Healthcare Solutions

- Multimodal Generative AI in Healthcare

- Harnessing the Power of Artificial Intelligence to Improve Outcomes for Patients with for Long-Term Health Conditions

- AI in Echocardiography

- AI for Maternity and Women’s Health and Wellbeing

- Time-series Forecasting with Healthcare Data

- AI Innovations in Autism Diagnosis


5. SPECIAL ISSUES

The winners of the Best Paper Award and the runner-up(s) will be invited to submit extended versions to the journal of Big Data Mining and Analytics (BDMA, https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8254253). BDMA has an impact factor of 7.7 and publishes state-of-the-art big data research and their applications, including healthcare. This prestigious best paper award is to recognise the outstanding scientific quality of the work presented at the AIiH. The work must show outstanding scientific rigour, major novelty, and comprehensive comparative analysis. It is awarded based on Programme Chairs’ and reviewers’ recommendations. Presentation quality is also taken into consideration.

Furthermore, AIiH 2025 will invite a number of highly recommended papers to submit to a special issue in CAAI journal of Artificial Intelligence Research (AIR). AIR publishes the state-of-the-art achievements in the field of artificial intelligence and its applications. The journal is Open Access with NO article processing fees.

The Special Session on Intelligent Systems & Robotics will publish a special issue in the International Journal of Advanced Robotic Systems.


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


7. IMPORTANT DATES

Full Paper & Abstract submission deadline: Tuesday 22 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


8. KEY ORGANISERS

GENERAL CHAIR
Daniele Cafolla, Swansea University, UK

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


9. SPONSORS

GOLD
- Infordata
- Technis Blu

SILVER
- Deep Data

BEST PAPER AWARD
- Springer


10. CONTACT
contact at aiih.cc









Xianghua Xie
--
Professor of Computer Science
Swansea University (Bay) | T: ++44 (0)1792602916
Department of Computer Science | E: x.xie at swansea.ac.uk
301 Computational Foundry | W: https://www.swansea.ac.uk/compsci/
Swansea SA1 8EN, UK | W: http://csvision.swan.ac.uk

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