
Using AI to Put the Patient First
AI Health uses the power of Artificial Intelligence to help address the existing pain points in healthcare around data management, remote patient monitoring, and chronic disease treatment.
Unifying the Healthcare Data Ecosystem
Solving Healthcare Pain Points with AI + IoT
From industry level down to patient level.
Disconnected Systems
Under-utilized Assets
Accessibility to Care
Access to Telehealth
Biased Study Structure
Addressing Algorithmic
Bias in Healthcare
Creating an ethical approach to AI to truly be patient-centric for all.

Advancing Equitable
Personalized Health with AI
Committed to advancing equitable personalized care around chronic illness through a series of groundbreaking validation studies.
Reinventing Remote Care
Increasing access to telehealth through a cost efficient remote patient monitoring system powered by AI.
Addressing the
Problems that Matter Most
Focused on unlocking the promise of AI in healthcare to provide more personalized care for patients around chronic illness.
Addressing Algorithmic Bias in Healthcare
Creating an ethical approach to AI to truly be patient-centric for all.
Biased Study Structure
Historically biased study structure to focus on better results for study, not most inclusive for under-represented patients.
Under-utilized Assets
Millions of data records containing critical information are disaggregated and overlooked.
Access to Telehealth
Lack of universal connectivity to be able to engage with the system, and ability to afford remote care.
Accessibility to Care
A data divide exists between those that use primary care vs those that use the ER for care.
Disconnected Systems
Lack of continuity in patient data especially for underserved communities.
Solving Healthcare Pain Points with AI + IoT
From industry level down to patient level.
In order to benefit underserved and marginalized communities, artificial intelligence design and applications must be intentional. This requires understanding the complex systems involved and how bias is already embedded within them. Otherwise, we risk replicating and potentially worsening the existing systemic and institutional barriers. AI Health hopes to use ethical and deliberate AI practices to improve health outcomes for all patients.

Juan C. Espinoza, MD, FAAP
AI Health Chief Medical Officer and Chairman of the AI Health Clinical and Technical Oversight Board
Wireless technology, digital databases, and computerized algorithms together will power advances in precision health and AI Health is poised to deliver novel important solutions by applying these technologies.

David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE
AI Health Advisor and Member of the AI Health Clinical and Technical Oversight Board
Integrating available digital and diabetes technologies with patients’ unique characteristics and biomedical data has the potential for improving personalizing care, facilitating decision-making, and increasing access to optimal care. AI Health has the potential for accelerating this vision to enable better care delivery with the goal of improving clinical and patient-reported outcomes.

Francisco J. Pasquel, MD, MPH
AI Health Advisor and Member of the AI Health Clinical and Technical Oversight Board
With diabetes technology becoming more available in Guam, including continuous glucose monitoring systems and insulin pumps, patients are seeing improvement in their diabetes management. Using AI techniques will give us more tools to improve outcomes.

Erika M. Alford, MD
AI Health Advisor and Member of the AI Health Clinical and Technical Oversight Board, and Principal Investigator for Diabetes Study Guam
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David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE
AI Health Advisor and Member of the AI Health Clinical and Technical Oversight Board
Wireless technology, digital databases, and computerized algorithms together will power advances in precision health and AI Health is poised to deliver novel important solutions by applying these technologies.

Francisco J. Pasquel, MD, MPH
AI Health Advisor and Member of the AI Health Clinical and Technical Oversight Board
Integrating available digital and diabetes technologies with patients' unique characteristics and biomedical data has the potential for improving personalizing care, facilitating decision-making, and increasing access to optimal care. AI Health has the potential for accelerating this vision to enable better care delivery with the goal of improving clinical and patient-reported outcomes.

Juan C. Espinoza, MD, FAAP
AI Health Chief Medical Officer and Chairman of the AI Health Clinical and Technical Oversight Board
In order to benefit underserved and marginalized communities, artificial intelligence design and applications must be intentional. This requires understanding the complex systems involved and how bias is already embedded within them. Otherwise, we risk replicating and potentially worsening the existing systemic and institutional barriers. AI Health hopes to use ethical and deliberate AI practices to improve health outcomes for all patients.
