RecognitionPresentationTeam Event

Diagnostics by Design: AI in Healthcare

New team event where 2 to 6 members build a working AI or machine learning solution for this year's topic, pitch it in a two-minute trailer, and top teams present it to judges in five minutes.

Official guidelines

The AI judge does not cover this event yet.

About this event

Diagnostics by Design: AI in Healthcare is a new recognition event for 2026-27, offered only at ILC, for teams of 2 to 6 in the Secondary and Postsecondary/Collegiate divisions, sponsored by Pearson. Teams create a functional solution using artificial intelligence or machine learning for the annual topic, which this year is a mental health app for peers. The official reference is Burke and Weill's Information Technology and Artificial Intelligence for the Health Professions, with the Certiport Generative AI Foundations certification as an optional extra. Round One is a trailer video of no more than two minutes, uploaded by May 15 and pre-judged out of 90 points on length, video quality, fit to the topic, effectiveness, impact, creativity and whether it leaves judges wanting more. All teams attend a required project display time at ILC with a battery-powered device showing the trailer (15-point deduction if missed). The top teams advance to Round Two, a five-minute presentation to judges with optional notecards, in which every member takes part and the team explains the topic, the solution's impact, how algorithmic bias will be prevented and how patient data privacy will be protected. The presentation is scored out of 125, both rounds are added, ties go to the highest-value rubric sections, and dress bonus points apply. Teams scoring 100 or more on the presentation receive a certificate at the recognition reception; medals are not awarded.

What judges score

Round One, A. Video Overview: Length (10), Quality of video, focus, audio, editing (10), Appropriate to the Topic (10)Round One, B. Video Content: Effectiveness (15), Impact (15), Creativity and Originality (15), Video leaves judges wanting to know more (15); subtotal 90Round Two, A. Presentation Content: Importance of information presented (10), Overall Understanding of issue / topic (10), Effectiveness / Impact (10), Captivating (10), Distinction (10), Research / Resources (10), Risk Mitigation: how algorithmic bias will be prevented (15), Methods to protect patient data privacy (15)Round Two, B. Presentation Organization: Flow, Logic, and Transitions (5), Opening (5), Closing (5)Round Two, C. Presentation Delivery: Voice (5), Stage Presence (5), Diction, Pronunciation and Grammar (5), Team Participation (5); total 125

What judges score

2026-27 topic: Mental Health App for PeersArtificial intelligence and machine learning in healthcareTrailer video: quality, fit to topic, effectiveness, impact, creativityPresentation: understanding of the issue, impact of the solution, prevention of algorithmic bias, patient data privacy, research

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