Cloud-Based Clinical Training & Case Collaboration Platform

As human spaceflight transitions toward long-duration missions, medical crews will increasingly manage emergencies without immediate evacuation capabilities. Surgeons or providers will need to keep their cognitive skills up to date with oral quizzing in the same manner as general surgery oral boards. Building on last year’s AI General Surgery Mock Oral Board (MOB) project's foundation (https://boards-trainer.ai/home/), this project will refine the existing AI mock oral board system to eliminate hinting while streamlining case construction and grading. It will integrate an ad-supported and self-sustaining online clinical collaboration network for peer case submission/review. It will create a just-in-time (JIT) training module that cross-references existing surgical resources and vetted mock oral cases with real-time disease-specific queries. The platform will support dual deployment: a cloud-hosted environment for terrestrial residency programs and an edge-computing variant optimized for high-performance laptops, ensuring autonomous functionality during spaceflight or analog exercises where communication latency is prohibitive.