Ready-to-Send Email Outreach

Dear Dr. Saria, I'm Samandika Saparamadu, a fellow Johns Hopkins researcher at the Bloomberg School of Public Health (Department of International Health). I'm writing because your TREWS work on sepsis detection - particularly the 18% mortality reduction findings in Nature Medicine - represents exactly the kind of rigorous, outcome-focused AI research we're studying. I'm conducting a qualitative study with Dr. Dominik Dotzauer for the Asia-Pacific Journal of Lifestyle Medicine on how healthcare AI leaders conceptualize risk, opportunity, and value creation. We're interviewing ~20 leaders across startups, academia, and health systems. Given your unique position bridging academic research and clinical deployment at Bayesian Health, your perspective would be invaluable. Would you be open to a 30-minute interview? Happy to meet at Hopkins or do it remotely. Best regards, Samandika Saparamadu Department of International Health Johns Hopkins Bloomberg School of Public Health

Hey Avi, Quick question - I'm working on an academic study with my colleague Sam (Johns Hopkins) about healthcare AI strategy. We're interviewing ~20 industry leaders for a peer-reviewed paper. Given your work at Longevity Alliance, your perspective on what's working (and what's overhyped) would be really valuable. Would you be up for a 20-30 min call or text-based interview? Totally flexible on format. Dominik

Hey Olivier, Working on a healthcare AI study with a colleague from Johns Hopkins. We're interviewing industry leaders for a peer-reviewed paper. Two asks: 1. Would you be up for a quick interview yourself? Your perspective from the longevity/precision medicine angle would be interesting. 2. Any healthcare AI folks in your network you could intro us to? Thanks! Dominik

Dr. Topol - Your Ground Truths posts on AI hype vs reality are essential reading. I'm conducting a peer-reviewed study on healthcare AI strategy for APJLM (Johns Hopkins researcher). Would you consider a brief interview? Your perspective on what's actually working would be invaluable. Happy to share details.

Your "80% of doctors" thesis sparked years of debate. Now you're talking about AI "interns" for physicians - the evolution is fascinating. I'm doing a peer-reviewed study on healthcare AI strategy. Want to understand how investors think about risk/opportunity differently than builders. 15-20 min interview? Text-based if easier.

The fact that you still take hospital shifts while running a $5B company says everything about your approach to building healthcare AI. I'm a researcher at Johns Hopkins studying how healthcare AI leaders balance clinical reality with scaling. Your clinician-founder perspective is exactly what's missing from most analyses. Would you be open to a 20-min interview for a peer-reviewed paper?

Your Med-PaLM work set the benchmark for medical LLMs. Now at OpenAI building what could become healthcare's foundation model. I'm doing a peer-reviewed study (Johns Hopkins) on how healthcare AI leaders think about risk vs opportunity. Your academic background + industry transition makes your perspective especially valuable. Would you be open to a brief interview? Happy to share the study design.

Nabla's growth to 85k+ physicians is impressive. Curious about your European perspective on healthcare AI vs the US market. Working on a peer-reviewed study comparing how AI leaders in different markets think about risk and opportunity. Would love your perspective on the regulatory and deployment differences. 20 min interview?

Dr. Shah, Your work establishing CHAI and advocating for responsible AI governance directly informs my research. I'm particularly interested in your perspective on bridging academic rigor with health system deployment. I'm Samandika Saparamadu, a researcher at Johns Hopkins Bloomberg School of Public Health. I'm conducting a qualitative study for the Asia-Pacific Journal of Lifestyle Medicine on how healthcare AI leaders conceptualize risk, opportunity, and value creation. Your unique position as Chief Data Scientist at Stanford Health Care, combined with your academic publications (350+ papers, h-index 88), makes your perspective invaluable. Would you be open to a 30-minute interview? I'd be happy to share our study design and interview guide in advance. Best regards, Samandika Saparamadu

Mr. Shah, Hippocratic AI's safety-first approach to patient-facing AI is refreshing in a space often dominated by "move fast" thinking. The fact that your LLM outperformed GPT-4 on 105 of 114 healthcare exams while prioritizing safety shows it's not a trade-off. I'm conducting a peer-reviewed study (Johns Hopkins/APJLM) on how healthcare AI leaders balance innovation speed with patient safety. Your perspective - serial entrepreneur who sold to Google and Alibaba, now building arguably the most safety-conscious AI in healthcare - would be invaluable. Would you be open to a 20-30 minute interview? Best, Samandika Saparamadu Johns Hopkins Bloomberg School of Public Health

Dr. Tripathi, Your trajectory from US National Coordinator for Health IT to HHS Chief AI Officer to Mayo Clinic gives you perhaps the most comprehensive view of healthcare AI from policy, regulation, and implementation perspectives. I'm conducting a qualitative study (Johns Hopkins/APJLM) on how healthcare AI leaders conceptualize risk, opportunity, and value creation. We're particularly interested in how policy experience shapes enterprise AI governance. Your perspective on what actually works when deploying AI at scale in health systems would be invaluable. Would you be open to a 30-minute interview? Best regards, Samandika Saparamadu Johns Hopkins Bloomberg School of Public Health

Dr. Mansi, 13 FDA-approved algorithms. 1,700 hospitals. The fact that Viz.ai saves measurable brain cells per stroke case makes it one of the few healthcare AI companies with clear outcome data. I'm conducting a peer-reviewed study (Johns Hopkins/APJLM) on how healthcare AI leaders navigate the path from clinical insight to scaled deployment. As a neurosurgeon who built one of the most FDA-approved AI platforms, your perspective on that journey would be invaluable. Would you be open to a 20-30 minute interview? Best, Samandika Saparamadu Johns Hopkins Bloomberg School of Public Health

Dr. Koller, From Stanford's first ML hire to Coursera co-founder to insitro - your career arc represents how foundational ML research translates to real-world healthcare impact. I'm conducting a peer-reviewed study (Johns Hopkins/APJLM) on how healthcare AI leaders conceptualize the relationship between basic research and clinical application. Your perspective on ML-driven drug discovery - particularly the Bristol Myers Squibb partnership for ALS - would be invaluable. Would you be open to a 30-minute interview? Happy to share our study design in advance. Best regards, Samandika Saparamadu Johns Hopkins Bloomberg School of Public Health