This piece provides an in-depth look at how AI platform Open Evidence has changed the game in American healthcare, with real-world examples. The video covers various aspects including the practical difficulties doctors face, the specific role of AI, and privacy protection, while also envisioning the future of AI. The core message is that Open Evidence serves as a practical solution that "gives time back" to doctors and provides rapid access to the latest medical knowledge.
1. The Reality of Healthcare and a New Approach to AI
The video begins not as a story about AI's "rosy future," but as the first installment of a new series showing real-world AI cases that are already deeply embedded in our lives and providing practical help. From the start, it conveys the realistic voices of healthcare professionals about the enormous burden they carry.
"As a clinician, I have to prepare charts beforehand, see patients, do post-visit documentation, and find records in between -- it's truly impossible."
"That's why the concept of 'pajama time' emerged. Doctors put their kids to bed, have dinner, and then work again at home. This ultimately leads to burnout."
With nearly half of all physicians in the United States experiencing burnout symptoms, the point is emphasized that keeping up with the latest research is practically very difficult for doctors.
2. The Flood of Medical Knowledge: An Impossible Reality to Keep Up With
The speed at which medical knowledge is growing and the struggles of doctors who must process it are presented in concrete terms.
"In 1950, medical knowledge doubled every 50 years. But as of 2025, according to multiple studies, knowledge doubles every 73 days."
Founder Daniel Nadler introduces an analysis showing that if a single doctor wanted to read just the top third of the latest papers in their specialty, they would need 9 hours every day.
"That means a doctor can't see patients, can't see their family, can't sleep. It's practically impossible."
To solve this problem, he founded Open Evidence in 2022.
3. Open Evidence: Becoming Doctors' 'Brain Extender' Through AI
Open Evidence is far more than a simple search engine. It functions as a "brain assistant" -- an AI specialized in understanding the semantic content of countless papers -- helping doctors quickly grasp the essentials.
"AI is no longer at the level of simply arranging text -- it now understands the meaning of research results."
"Open Evidence is a 'brain extender' that helps doctors reach the essence without having to read papers for 9 hours a day."
This AI platform has been joined by 50% of all physicians in the United States, growing by 65,000 per month. Investment has been active, and the company's valuation has already reached $3.5 billion.
"Our goal is to have every American doctor using this platform within the next year."
4. The Roles of AI and Doctors, and Real-World Usage
Importantly, the video makes clear that AI is not "replacing doctors."
"Can Open Evidence make diagnoses?"
"No. The traditional role that doctors must fulfill is still the doctor's responsibility. Open Evidence is merely an extension of the 'search' tool."
Dr. David Reich, president of New York's Mount Sinai Hospital, also explains how AI is being integrated across education and clinical support.
"Our medical school library also provides Open Evidence. Additionally, it's integrated with ChatGPT to enable medical data search while strictly maintaining privacy protection."
"Cybersecurity is a very important consideration. Open Evidence is paying particular attention to this."
5. Medical Data, Copyright, Revenue Model... Open Evidence's Differentiators
Open Evidence uses source data from the most authoritative medical journals through official licenses. It has direct contracts with the New England Journal of Medicine, the American Medical Association, and others, ensuring legal and transparent data use.
"We're probably the only pure AI company that hasn't been sued for copyright.
Our business model is a Google clone. That is, it's free for doctors, and revenue comes from advertising. Google is also our major investor and strong supporter."
This structure, where platform, users, and advertisers are all well-incentivized, is described as Open Evidence's strength.
6. The Future of AI: A 'Connective Tissue' Linking Human to Human
The future of medical AI is also envisioned with ambition. Dr. Reich sees the near future as an era when genomic, imaging, and medical record data are integrated through AI -- the realization of personalized medicine.
"In the near future, when we diagnose a patient, we'll be able to recommend truly personalized treatment that combines family history and genetic information. The pace of technological progress right now is excitingly fast!"
Nadler emphasizes that the ultimate future of Open Evidence is 'AI that connects human to human'.
"AI isn't the star of the technology -- when a patient presents with a rare symptom, it serves as a 'connective tissue' that immediately links them with specialists nationwide and worldwide. This kind of future vision is truly beautiful and hopeful."
7. Open Evidence as a Real 'Game Changer' for Doctors
Finally, the practical value of Open Evidence as experienced in clinical settings is emphasized once more.
"Thanks to Open Evidence:
- We can access entire medical papers that were previously behind paywalls,
- Since AI understands natural language and quickly finds materials tailored to requests, the time savings are beyond what we previously imagined. It truly deserves to be called a 'game-changing tool.'"
Open Evidence is already an AI deeply embedded in doctors' daily lives, creating practical change.
Conclusion
Doctor burnout, the explosion of medical information, copyright and data protection -- Open Evidence as an AI is providing practical solutions to all these complex problems, giving healthcare providers "time back" even at this very moment. And in the near future, it will evolve into an even more personalized 'AI that connects people to people'. AI is no longer a hope -- it is change happening right now!
