Share your AI inspired idea
Abstract competition is now open
Do you have an AI-inspired idea that could make a real difference in medicine and healthcare?
Are you doing a piece of research or undertaking work in this area?
Yes? Then we want to hear from you!
Returning for 2023, AIMed’s popular Abstract Competition is now open to submissions to those who have truly innovative ideas on how AI will transform the future of healthcare delivery.
The competition is open to all, and is a great opportunity from young scientists, students, early career clinicians, data scientists as well as seasoned clinicians to bring their work before an interested and discriminating audience and esteemed panel of judges.
This is not a typical scientific abstract. This competition is about presenting a problem in healthcare, and showing how to solve it using AI solutions. It is not about methods, results and conclusions unless you have that; it’s about solving real world problems.
FAQs
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1. Application criteria
The competition is open to all working with AI within the domains of medicine and health care
All accepted submissions will receive a free ticket to attend the conference
Those wishing to apply will be required to submit an abstract via the form below by April 4, 2023, with shortlisting taking place the following week. Results announced by April 27!
Our panel of judges will score the abstract submissions based on content and originality, for more information please refer to the submission criteria and FAQ sections.
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2. The prize
Winning abstracts will receive a free ticket to AiMed Global Summit 2023, as well as a chance to be published in Dr Anthony C Chang’s Intelligence-Based Medicine Elsevier journal.
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3. Submission criteria
The competition is open to all working with AI within the domains of medicine and health care
Our panel of judges will score the abstract submissions based on content and originality.
The judges will be looking for more than descriptions of applications and should comprise of either a traditional abstract format of:
- Background and problem
- Methods
- Results
- Conclusion
Or a simplified abstract of:
- Background
- Problem
- Solution
The closing date is April 4, 2023, so apply now!
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4. The Categories
Machine Learning
Imaging
Natural Language Processing
Robotics
Clinical Decision Support
Administrative Support
Ethics, Equity, and Governance
Population and Precision Health
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5. The judges
Robert (Bob) Hoyt MD, Associate Clinical Professor, Department of Internal Medicine, Virginia Commonwealth University and CAPT (Ret) US Navy
Piyush Mathur, MD, Founder, BrainX and Staff Anesthesiologist and Critical Care physician, Cleveland Clinic, Ohio
Sharief Taraman, MD, Pediatric Neurology & Medical Informatics, CHOC Specialists and and Health Sciences Associate Clinical Professor, University of California, Irvine School of Medicine
Alfonso Limon, Ph.D. Principal Consultant, Oneirix Labs
Flora Wan, Neuroinformatics Lead & Research Coordinator, Holland Bloorview Kids Rehabilitation Hospital
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6. FAQs
Successful submissions will be asked to provide a full digital poster regarding the work described in the abstract that will be presented across AIMed Global Summit and its associated platforms.
Successful submissions will also have the opportunity to present their poster on stage during the interactive abstract competition, which will be held live on the morning of June 7.
Authors please pay close attention to the submissions criteria below. As judges have many abstract to read and rank, those that do not conform to the state criteria will be excluded.
- Submissions must be received in correctly written English with concise and clear wording
- The title should summarize the abstract and convince the reviewers that the topic is important, relevant, and original
- The work’s aim is stated in a simple manner, questions are concrete and are testable
- Clear background on the healthcare/clinical problem and context of work
- Describe methodology used include research design, research setting; measurements (where relevant) and solution to address said problem
- Share results, and if possible outcome variables and characterise the primary and secondary outcomes
- State concisely what can be concluded and its implications. The conclusions can be supported by the data presented abstract as an appendix