As a physician and first-time founder, I've relied a lot on the advice "build something you'd personally use every day". In that time, I've kept discovering new ways that my own app @prosivo has surprised me and kept pulling me back to build and ship more.
Here's an example of a chest pain case interaction that made me stop and go "wow, this really is cool"
Our new article ‘Continoous Wave Doppler Interrogation in Valvular Heart Disease’ is The Most Read and Editor’s choice at the European Heart Journal - Imaging Methods and Practice.
Thank you everyone and let’s keep Reviving Echo Doppler! @argulian@echo_batman#EACVI #echofirst @alessia_gimelli
@DavidBursteinMD Exactly what I’ve been working on with @prosivo. Trying to develop clinical reasoning with AI at the learner level, as I agree that AI should use our clinical reasoning and not the other way around!
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Why can't you use direct oral anticoagulants (DOACs) in patients with mechanical valves (MVs)?
DOACs have been one of the most important advances in my career. And yet, the presence of a MV is one of the few contraindications.
The reason highlights the unique nature of thrombus formation in those with a MV and provides insights into the evolution of human hemostasis.
Spoke to a user about their experience with the app and how their experience is going. They signed off on the email with a “Thank You”.
As if they should be the one thanking me. It’s all about you guys. I owe you infinite thanks for taking the time to try it out and taking the time to even respond and give your input. It’s all for you.
Super motivated and humbled returning from my first trip to SF where I got to attend @stripe sessions, watch @patrickc interview @sama, and meet so many smart and inspiring people. Even got a free headshot out of it too! Here are some of my thoughts and a roadmap on how I think @prosivo can be a part of the infrastructure of the future
1. Medicine is such a great test case to push the boundaries of what AI can achieve: it is high stakes, reasoning heavy, expensive, credentialed, and underserved by static content.
2. By focusing initially on medical education, Prosivo has the framework to become a reasoning infrastructure layer to expand to all human learning. Using our preexisting Socratic engine and case framework, any body of knowledge can be turned into adaptive, conversational simulations that teach people how to think, decide, communicate, and perform in the real world.
Through the roadmap below, Prosivo becomes the only learning platform combining adaptive AI dialogue, structured reasoning templates, learner memory, and deployable case marketplaces to turn education from static content consumption into personalized simulation at scale. If successful, Prosivo makes every textbook, curriculum, exam, training manual, and expert workflow interactive, measurable, and teachable through conversation.
3. Most education is still built around premade content: videos, PDFs, textbooks, lectures, flashcards, exams. Prosivo is building the simulation layer for education, with a universal infrastructure platform where any institution, publisher, company, or expert can turn knowledge into adaptive practice environments.
Pilots need to run through scenario training. Managers and executives need decision making practice. Governments need workforce training. Companies need onboarding. Students need an adaptive tutor.
Here’s a list of possibilities on the horizon:
- Enterprise Knowledge:
Companies turn internal docs, SOPs, onboarding manuals, and shared knowledge into role-specific training simulations.
- Publisher Infrastructure:
Textbooks become interactive curricula. Publishers stop selling static content and start selling adaptive learning packs.
- Creator Marketplace:
Experts, teachers, institutions, and creators publish verified learning simulations the way developers publish apps.
Prosivo gives the world a common runtime for learning, to generate simulations, deploy curricula, personalize feedback, measure reasoning, and distribute verified educational modules through a marketplace.
If AI is going to transform education, it should do so in a way that isn’t just a lookup tool akin to a search engine on steroids. The winning platform will be the infrastructure that turns the world’s knowledge into personalized practice. Prosivo starts in medicine, where the stakes are arguably highest and reasoning matters most, then expands into any domain where humans need to learn how to think.
The future is exciting