AIiH – AI in Healthcare

Welcome to AIiH 2025

We are delighted to invite you to take part in the second International Conference on Artificial Intelligence in Healthcare (AIiH 2025), which will be held in the Jesus College, Cambridge from Monday 8 September to Wednesday 10 September 2025. The inaugural edition of the AIiH series was successfully held in the beautiful city of Swansea in September 2024 (click here to find out more).

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 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
AI-aided signal processing
AI-aided medical imaging (CT, MRI, ultrasound, histopathology, etc.)

Medical image analysis and processing
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

Conference Proceedings

AIiH 2025 will continue working with Springer in publishing its conference proceedings. Accepted full-length papers of AIiH 2024 were published in two Springer LNCS volumes.

The conference also welcomes submission of short abstracts, which will be archived on zonodo.org (with DOIs) together with previously accepted short abstracts.