Stanford HAILS

“It has been a privilege to be part of the first cohort. Connecting face-to-face with leaders who are actively shaping the future of health AI was inspiring.”

“What I saw at Stanford was foundation models deployed at real scale, in real clinical workflows. Not pilots. Not demos. Production. The hard problem in healthcare AI isn't accuracy — it's what we build around the model, and who stays accountable when it's wrong.”

“The bottleneck is no longer the model; it is deployment. You can build increasingly powerful models, but if the technology cannot navigate clinical workflows, regulation, and provider adoption, it will never create meaningful impact for patients.”

“Had an amazing — dare I say magical — few days. Meeting likeminded people, hearing from world-renowned speakers, and building a community driving the future of healthcare AI is what made HAILS so special.”

“The hard part isn't whether a model works, but getting it into routine use and keeping it working there — validating it locally, rolling it out in stages, and watching performance well after launch.”

“A week at Stanford University gave me enough to digest and reflect on for the rest of the year. No AI model can fix an ineffective system — we've got to fix the cracks in the process first, to make it ready for AI.”

“In healthcare, relationships move at the speed of trust — and two days with people from OpenAI, Anthropic, Google, Roche, Stanford, Harvard, the FDA and Menlo Ventures go a long way.”

“The room was never static. Two days of digging into where AI is really showing up in healthcare and where it's headed, with a cohort that came at it from every angle.”

“Physicians and surgeons need to be involved at the beginning of the build, and have a seat at the table where implementation decisions happen, if we want an end result that actually helps us and our patients.”

“Thank you to the Stanford HAILS team for an amazing 2 days of immersive AI experience. Great speakers, dialogue and networking!”

“A perfect balance of high-level strategic thinking and the practical, 'bring-your-own-problem' reality of implementing AI in healthcare and life sciences.”

“It has been a privilege to be part of the first cohort. Connecting face-to-face with leaders who are actively shaping the future of health AI was inspiring.”

“What I saw at Stanford was foundation models deployed at real scale, in real clinical workflows. Not pilots. Not demos. Production. The hard problem in healthcare AI isn't accuracy — it's what we build around the model, and who stays accountable when it's wrong.”

“The bottleneck is no longer the model; it is deployment. You can build increasingly powerful models, but if the technology cannot navigate clinical workflows, regulation, and provider adoption, it will never create meaningful impact for patients.”

“Had an amazing — dare I say magical — few days. Meeting likeminded people, hearing from world-renowned speakers, and building a community driving the future of healthcare AI is what made HAILS so special.”

“The hard part isn't whether a model works, but getting it into routine use and keeping it working there — validating it locally, rolling it out in stages, and watching performance well after launch.”

“A week at Stanford University gave me enough to digest and reflect on for the rest of the year. No AI model can fix an ineffective system — we've got to fix the cracks in the process first, to make it ready for AI.”

“In healthcare, relationships move at the speed of trust — and two days with people from OpenAI, Anthropic, Google, Roche, Stanford, Harvard, the FDA and Menlo Ventures go a long way.”

“The room was never static. Two days of digging into where AI is really showing up in healthcare and where it's headed, with a cohort that came at it from every angle.”

“Physicians and surgeons need to be involved at the beginning of the build, and have a seat at the table where implementation decisions happen, if we want an end result that actually helps us and our patients.”

“Thank you to the Stanford HAILS team for an amazing 2 days of immersive AI experience. Great speakers, dialogue and networking!”

“A perfect balance of high-level strategic thinking and the practical, 'bring-your-own-problem' reality of implementing AI in healthcare and life sciences.”

“It has been a privilege to be part of the first cohort. Connecting face-to-face with leaders who are actively shaping the future of health AI was inspiring.”

“What I saw at Stanford was foundation models deployed at real scale, in real clinical workflows. Not pilots. Not demos. Production. The hard problem in healthcare AI isn't accuracy — it's what we build around the model, and who stays accountable when it's wrong.”

“The bottleneck is no longer the model; it is deployment. You can build increasingly powerful models, but if the technology cannot navigate clinical workflows, regulation, and provider adoption, it will never create meaningful impact for patients.”

“Had an amazing — dare I say magical — few days. Meeting likeminded people, hearing from world-renowned speakers, and building a community driving the future of healthcare AI is what made HAILS so special.”

“The hard part isn't whether a model works, but getting it into routine use and keeping it working there — validating it locally, rolling it out in stages, and watching performance well after launch.”

“A week at Stanford University gave me enough to digest and reflect on for the rest of the year. No AI model can fix an ineffective system — we've got to fix the cracks in the process first, to make it ready for AI.”

“In healthcare, relationships move at the speed of trust — and two days with people from OpenAI, Anthropic, Google, Roche, Stanford, Harvard, the FDA and Menlo Ventures go a long way.”

“The room was never static. Two days of digging into where AI is really showing up in healthcare and where it's headed, with a cohort that came at it from every angle.”

“Physicians and surgeons need to be involved at the beginning of the build, and have a seat at the table where implementation decisions happen, if we want an end result that actually helps us and our patients.”

“Thank you to the Stanford HAILS team for an amazing 2 days of immersive AI experience. Great speakers, dialogue and networking!”

“A perfect balance of high-level strategic thinking and the practical, 'bring-your-own-problem' reality of implementing AI in healthcare and life sciences.”