AIiH also welcomes late-breaking 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 on AIiH website.
The conference welcomes submissions of 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
Abstract Formatting: Late-braking abstracts should be no more than 3 pages including references.Your contribution may be prepared in LaTeX or Microsoft Word. Note, our double-blind submission policy does not apply to late-breaking abstracts. For convenience, the templates are provided below:
Attendance and no-show policy: By submitting the paper to AIiH, the authors agree that upon acceptance at least one of the authors will register for the conference and present the work in person at the conference. If there is any extenuate circumstance that prevents the presenting author from travelling to the conference, the authors should notify the organisers at the earliest opportunity. For no-shows, AIiH reserves the right to remove the paper from post-conference proceedings.
Confidentiality: All reviewers and members of the organising committee are instructed to keep all information about submitted materials confidential and not to share or distribute materials for any reasons other than to facilitate review. It however should be noted that AIiH cannot be held responsible for the consequences if confidentiality is broken due to a violation of confidentiality in the review process.
Ethics: Authors are expected to follow standard ethical guidelines. Plagiarism is strictly forbidden and AIiH will be using iThenticate for plagiarism checks. Authors take full responsibility for the contents of their papers, including content generated by LLMs.
Submission Website: The conference review management service used for paper submission will be will be CMT. Please refer to Important dates page for deadlines. Click here to submit your abstract on CMT.