iShruti
iShruti
Clinicians and builders who've deployed AI in real hospitals. Real prices upfront, shortlist in 24 hours.
Healthcare is simultaneously the highest-stakes and highest-opportunity sector for AI — and the right speaker for a healthcare audience is fundamentally different from a generic futurist. We curate speakers who have worked inside health systems: clinicians, healthcare executives, biomedical researchers, and health-tech founders.
The healthcare AI speaker circuit is full of generalists who can name a few medical use cases. We've built a different roster: practitioners who understand HIPAA constraints, have navigated IRB approvals for AI research, and have seen diagnostic AI deployed in a real hospital — honest about both the promise and the limits.
We serve health system leadership, medical associations, health technology conferences, pharma and biotech companies, and payer organizations who need substantive AI intelligence that is actually relevant to clinical and operational reality. In this room, credibility is everything — so we check for it first.
Someone who has walked the wards.
Not a generic futurist. These speakers are clinicians, health-system leaders, and researchers who've deployed AI where the stakes are patients — priced upfront, shortlisted in 24 hours.
FDA-cleared AI devices number in the hundreds, and health systems run AI at scale. The watch-and-wait window has closed.
The AI talent battle is won by leaders who speak AI fluently enough to recruit engineers who get clinical workflow.
Dataset bias and model drift have life-or-death consequences here — failure modes must be understood specifically.
AI-powered payers are changing reimbursement. CFOs need a strategy, not a surprise.
AI in clinical workflow: what works, what backfires, and how to tell the difference
FDA-cleared AI medical devices: the landscape in 2026 and what's coming next
Using AI to address healthcare workforce burnout — not accelerate it
AI and diagnostic accuracy: a clear-eyed assessment of the evidence
Health equity and AI: avoiding the automation of disparities
The AI-enabled hospital: an operational roadmap for health system leaders
Generative AI in clinical documentation: transforming the EHR burden
AI in drug discovery: from hype to real molecular breakthroughs
Patient data, AI, and the new privacy frontier
The AI-powered payer: understanding what this means for providers
Agentic AI in the hospital: where autonomy is safe — and where it isn't
Getting AI past the committee: governance, IRBs, and clinical buy-in
Need a different angle? Every talk is customized to your audience.
Hire a speakerIn-person, on your main stage.
Remote keynote or fireside.
Multi-voice sessions.
One price, our 17.5% printed inside it. Travel at cost, capped. No surprise line-items — ask any bureau to show you theirs. CME-accredited formats are available — tell us your accreditation requirements upfront.
2 minutes, no account
verified speakers, real prices, in 24 hours
contracts, payment, and logistics handled
Five questions every organizer asks — tap one.
For clinical audiences (physicians, nurses, allied health), a clinician-turned-AI expert is typically more credible and engaging. For executive and administrative audiences, a health system CIO, CMO, or health tech founder often resonates better. For mixed audiences, look for speakers who can bridge both worlds — they exist and they're exceptional.
Health tech speakers often focus on digital health broadly — telehealth, wearables, EHRs, patient engagement apps. Healthcare AI speakers focus specifically on machine learning and AI applications in clinical and operational settings. For a conference specifically about AI, the latter is usually more targeted and valuable.
Yes — we have speakers with deep expertise in specific clinical domains. Radiology and pathology (where AI has the most mature clinical evidence) and mental health AI (where both the promise and the risks are significant) are particularly well-represented on our roster.
Yes. We have speakers who have served on FDA advisory panels, CMS working groups, and WHO digital health committees. For policy-oriented healthcare audiences, these backgrounds add significant credibility.
Healthcare conference keynotes typically run 45–60 minutes. For CME-accredited content, the format may need to be structured differently — let us know your accreditation requirements upfront so we can match you with a speaker who has experience in that format.
Rather we just figure it out for you?
Get a shortlist$10K–$30K for most events; virtual from $2,500. Clinicians with active practice often command premiums reflecting the opportunity cost of their time. The price you see is the whole price — our 17.5% is printed inside it.
We individually check identity, real work, and stage skill. Every speaker. No exceptions.
Yes — we specifically vet for this. Speakers who have worked inside health systems or clinical AI companies have direct experience with the regulatory and governance constraints that matter to healthcare audiences.
Yes — this is one of the most requested topics for 2026. Several of our healthcare AI speakers focus specifically on AI as a workforce support tool rather than a workforce replacement.
Yes — we specifically invest in voices working at the intersection of AI and global health equity, including speakers working in Sub-Saharan Africa, South Asia, and Latin America.
Yes — CME-accredited content may need a different structure, so let us know your accreditation requirements upfront and we'll match you with a speaker experienced in that format.