Stanford AIMI

What Stanford AIMI does

Stanford AIMI (Center for Artificial Intelligence in Medicine and Imaging) is an academic research center within Stanford University's School of Medicine, established in 2018 and headquartered at 1701 Page Mill Road, Palo Alto. The center develops, evaluates, and disseminates AI and machine learning systems for medical imaging and broader healthcare applications, including diagnostic image evaluation, protocol optimization, scheduling, digital pathology, multi-omics and EHR-integrated foundation models, and large language model pipelines (notably Med-PaLM 2 and Gemini) applied to genetic diagnosis. It operates a translational research pipeline anchored by a renewed joint Center of Excellence with GE HealthCare covering MR, CT, molecular imaging, interventional radiology, and pharmaceutical diagnostics, and by integration with Stanford Health Care, Lucile Packard Children's Hospital Stanford, and Stanford HAI.

The center's portfolio spans five distinct surface areas: (1) research grant programs (AIMI Seed Grants, AIMI-HAI Partnership Grants, Trainee Travel Grants); (2) shared data assets, including more than 20 AI-ready clinical datasets with associated code and models made available for both research and commercial use through the AIMI Dataset Index; (3) educational programming ranging from a four-week hybrid executive education course down to high-school summer internships and bootcamps; (4) a multi-event conference franchise comprising the flagship AIMI Symposium (in its seventh year), the AIMI Pediatric Symposium, the Academic x Industry Summit, and the co-hosted AI+HEALTH conference with Stanford HAI and Stanford CME; and (5) industry engagement via an Industry Affiliate Program, sponsored research, corporate sponsorships (Philips, Subtle Medical, Ensemble, Protege), and infrastructure partnerships with AWS and Google Cloud for cloud-credit programs.

Stanford AIMI is funded and structured as a university research unit rather than a commercial enterprise. Its operating model is event- and ecosystem-driven: corporate sponsorship tiers ($5,000-$10,000), conference registration fees (ranging from $0 for trainee virtual attendance to $2,000 for the AIMI Supporter Pass), sponsored research agreements, and Industry Affiliate Program contributions are paired with NIH/NSF/institutional grant funding as the primary capital base. The center does not sell commercial software; its monetizable outputs are datasets licensed for commercial use, paid conference and executive education, and sponsored research. Customer segments are primarily academic researchers, clinicians, healthcare executives, trainees, and healthcare technology industry partners.

Name

Stanford AIMI

Legal name

Center for Artificial Intelligence in Medicine & Imaging

Website

https://aimi.stanford.edu

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

1–10 employees

Short description

Stanford AIMI is a Stanford University research center, established in 2018, that develops and disseminates AI for medical imaging and healthcare, serving academic researchers, clinicians, healthcare executives, and industry partners through grants, datasets, conferences, and education programs.

Ownership category

akta.pro rank

Product category

Healthcare AI Research

NAICS

Computer Systems Design and Related Services (54151), Research and Development in Biotechnology (except Nanobiotechnology) (541714), Other Scientific and Technical Consulting Services (541690)

SIC

Services-Health Services (8000), Services-Computer Integrated Systems Design (7373)

akta.pro industry

PRIMARYHLACANAG

SaMD – Imaging & Signal Analysis (AI/ML)

Healthcare & Life Sciences/Digital Health & Health IT/Digital Therapeutics (DTx) & Software as a Medical Device (SaMD)

SECONDARYHLACALAG

AI Orchestration & Imaging Analytics Platforms (Model Management/Triage)

Healthcare & Life Sciences/Digital Health & Health IT/Medical Imaging Informatics (PACS/RIS/VNA) & Radiology IT

SECONDARYHDAAAEAH

Medical Imaging AI

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/Computer Vision & Video Analytics

Keywords

• Medical imaging AI
• Clinical research datasets
• Healthcare AI training
• Medical AI conferences
• Translational imaging research

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Research Funding and Grants: As a Stanford University research center, Stanford AIMI receives institutional funding and external grants from organizations including NIH, NSF, and industry partners for research programs.
2. Sponsorships: Corporate sponsors support the AIMI Symposium and related events at various sponsorship levels ($5,000-$10,000), receiving recognition and event access.
3. Conference Registration: Registration fees for the AIMI Symposium ($100-$850), Pediatric Symposium ($0-$100), and Academic x Industry Summit ($350-$650), with discounted rates for academic and trainee participants.

Pricing tiers

Go-to-market motion1 record

Distribution channels5 records

Marketing channels9 records

Core offering

Stanford AIMI (Center for Artificial Intelligence in Medicine and Imaging) is a Stanford University research center that develops, evaluates, and disseminates AI systems for healthcare. Its offerings span research grant programs, over 20 AI-ready clinical datasets for research and commercial use, executive and student educational programs, annual symposiums and grand rounds, and an Industry Affiliate Program for corporate partners.

Product overview

Stanford AIMI (Center for Artificial Intelligence in Medicine and Imaging) is a research center established in 2018, not a commercial product company. Its portfolio consists of research programs, educational offerings, data sharing initiatives, and industry collaboration programs. The core offerings include: research grant programs (AIMI Seed Grants, AIMI-HAI Partnership Grants, Trainee Travel Grants), cloud credit programs (AWS and Google Cloud), shared datasets and data tools (AIMI Dataset Index), educational programs (Executive Education, Grand Rounds, Summer Programs, Bootcamps), conference events (AIMI Symposium, AIMI Pediatric Symposium, Academic x Industry Summit, AI+HEALTH), and industry partnership programs (Affiliate Program, Sponsored Research).

Differentiator

Problem solved

Functional benefit

Products and services

• AIMI Symposium Flagship annual research conference bringing together clinicians, researchers, health system leaders, startups, and investors at the intersection of AI and medicine, held as part of Stanford Health AI Week.
• AIMI Pediatric Symposium Half-day convening focused on responsible development and deployment of AI for child health, covering early disease detection, predictive analytics, and clinical decision support tailored to pediatric populations.
• AIMI Academic x Industry Summit Intimate roundtable forum convening academic and industry leaders to examine partnership opportunities and implementation challenges to advance AI in health.
• AI+HEALTH Conference Stanford's largest convening for AI in health and medicine, hosted by Stanford HAI, AIMI, and Stanford CME, exploring critical issues related to AI's impact across healthcare.
• AIMI Grand Rounds A virtual educational seminar series held on every fourth Tuesday featuring presentations on AI advancements in medicine, providing CME credits for Stanford participants.
• AI for Healthcare Bootcamp An intensive training program for researchers and professionals to learn about AI applications in healthcare settings.
• Executive Education in Healthcare AI Stanford Leadership and Strategy Course in Healthcare AI: an intensive four-week hybrid learning experience designed to equip professionals with strategic insight and practical tools needed to responsibly implement and scale AI solutions.
• Summer Research Internship Summer virtual internship program for high school students to engage in AI healthcare research.
• Summer Health AI Bootcamp Intensive bootcamp for high school students focused on health AI concepts and applications.
• Academic Year Research Internship Research internship program for students during the academic year focused on AI healthcare projects.
• AIMI Shared Datasets Over 20 AI-ready clinical datasets (many with code and AI models) released for research and commercial use to catalyze open science.
• AIMI Dataset Index Centralized index of AIMI datasets enabling researchers to discover and access clinical data for AI research.
• Industry Affiliate Program Corporate membership program enabling industry partners to collaborate with Stanford AIMI on AI research and innovation in healthcare.
• Sponsored Research Industry-sponsored research opportunities allowing corporate partners to advance AI in medicine and imaging through collaborative projects with Stanford researchers.

Quantifiable outcome

• Over 20 AI-ready clinical datasets released for research
• +1 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature5 records

Partnerships

Two partnerships are on record, tiered core.

• GE HealthCarecoreStrategic or Co-development Partner · 26 March 2026GE HealthCare and Stanford Medicine Department of Radiology have renewed their decades-long collaboration and established a joint Center of Excellence to accelerate translational research in medical imaging. The center focuses on magnetic resonance, CT, molecular imaging, interventional radiology, and pharmaceutical diagnostics, with emphasis on advancing GE's FDA-cleared Photonova Spectra photon-counting CT system. The teams are leveraging machine learning for AI-driven diagnostic software.
• Stanford Institute for Human-Centered AI (HAI)coreStrategic or Co-development PartnerStanford AIMI co-hosts the annual AI+HEALTH conference with Stanford HAI and Stanford Center for Continuing Medical Education. The institutes share faculty and collaborate on research initiatives including AIMI-HAI Partnership Grants.

Scale indicators3 records

Recent moves7 records

Expansion highlights6 records

Emerging players

• Subtle Medical: AI-driven medical imaging enhancement startup focused on faster MR and PET acquisition using deep learning. Directly comparable because Subtle Medical is simultaneously an AIMI Symposium sponsor and a commercial embodiment of the kind of medical imaging AI research that AIMI's programs produce and validate.
• Aidoc: Commercial AI vendor specializing in radiology and clinical workflow AI algorithms deployed in hospitals. Comparable to Stanford AIMI as an organizer of medical imaging AI research and translation, but operates as a scaling commercial vendor rather than an academic center.

Direct peers

• Mayo Clinic Platform: Mayo Clinic's data and AI platform enabling clinical AI development and validation across a large integrated health system. Comparable to Stanford AIMI in anchoring medical AI research and data assets within a major academic medical center, with overlapping industry partnership models.
• Harvard Medical School Department of Biomedical Informatics: Harvard-based academic unit conducting AI, machine learning, and clinical informatics research across hospital systems. Comparable to Stanford AIMI as a faculty-led research-and-training hub that produces medical AI methods, datasets, and trainees, with overlapping industry engagement.
• Carnegie Mellon Center for Machine Learning and Health: CMU-led academic research center applying machine learning to clinical and biomedical problems across modalities. Directly comparable to Stanford AIMI in combining core ML methodology, multimodal clinical AI research, and a training pipeline for medical AI researchers.
• MGH & BWH Center for Clinical Data Science: Academic medical AI research center co-located with major Harvard-affiliated hospitals, focused on developing and clinically validating AI tools for radiology and clinical workflows. Closely comparable to Stanford AIMI in mission, faculty-driven model, dataset curation, and hospital-affiliated translation pathway.
• UCSF Center for Intelligent Imaging: UCSF-based academic center advancing AI and computational methods for medical imaging, with parallel focus on clinical translation and AI-ready data assets. Directly comparable to Stanford AIMI as a peer academic medical imaging AI center operating within a major US health system.

Broad incumbents

• GE HealthCare: Major medical imaging equipment vendor with embedded AI capabilities including the FDA-cleared Photon Counting CT system co-developed with Stanford Medicine. Directly comparable as a translational partner and a sponsor of AIMI programs, and as a broader incumbent across the medical imaging AI ecosystem Stanford AIMI targets.
• Philips Health Technology: Global medical imaging and health technology incumbent with broad AI-enabled imaging and clinical decision support portfolio. Comparable as a major industry sponsor of Stanford AIMI events and as a broader commercial force in medical imaging AI at the boundary AIMI's research addresses.
• NVIDIA Clara / NVIDIA Healthcare: Provides AI infrastructure, GPU hardware, and development platforms for medical imaging and clinical AI. Comparable to Stanford AIMI in being a foundational enabler of medical AI research and workloads, but operating as a broad commercial vendor rather than a specialized academic center.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• Xx.com/stanfordaimi
• YouTubeyoutube.com/stanfordaimi
• LinkedInlinkedin.com/company/aimi-stanford
• Instagraminstagram.com/stanfordaimi

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Stanford AIMI