Lab News
AI Index Report 2025
Stanford University's Human-Center Artificial Intelligence (HAI) has released the AI Index Report. The mission of the AI Index is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Tina Hernandez-Boussard, PhD, was co-lead for Chapter 5, "Science and Medicine", with Curt Langlotz, MD, PhD. Other lab contributors include Yeon Mi Hwang, PhD, Madelena Ng, PhD, Malvika Pillai, Ashley Lewis, and Arman Koul.
RAISE Health Seed Grant Awarded
Stanford University’s RAISE Health initiative have announced the five recipients of its inaugural seed grants ($100K each), including a project led by Tina Hernandez-Bosusard, PhD, with collaborators Lu Tian, PhD, and Ron Li, PhD. Their funded research, "Advancing Health Equity with Personalized Comorbidity Scores", aims to develop a more comprehensive and equitable comorbidity index using artificial intelligence and diverse patient records by integrating socioeconomic factors alongside physical and mental health conditions, the new index will enable more personalized health assessments. For more information on the seed grants visit the RAISE website.
Recent Publications
Strategic Priorities Advancing AI for Health Governance Across the United Nations
The Global Initiative on Artificial Intelligence for Health (GI-AI4H), established by the World Health Organization (WHO), published a paper in npj Digital Medicine highlighting four strategic priorities for a global governance framework for health AI, serving to harmonize governance standards for AI. GI-AI4H members include Dr. Hernandez-Boussard, lab member Madelena Ng, PhD, and other expert collaborators. GI-AI4H’s work focuses on the ethical, regulatory, implementation, and operational dimensions of health AI governance, which are foundational in the advancement of equitable, safe, and effective AI for the global community. For more read the article here.
AI Tools for Tailoring Patient Care
In our latest npj Digital Medicine paper Artificial intelligence tools in supporting healthcare professionals for tailored patient care we proposed AI tools for tailored patient support corresponding to patients’ needs and assess clinicians’ perceptions about the usefulness of those AI tools. Among patients with diabetes, we drafted a series of AI tools that were then evaluated by endocrinologists for perceived usefulness and risk. Patient education and administrative support for timely and streamlined interaction were perceived as highly useful, yet deeper integration of AI tools into patient data was perceived as risky. These findings could offer essential ramifications for developing potential AI tools for precision patient care for diabetes and beyond. For more details please read the paper here.
Lectures & Talks
Upcoming
Dr. Hernandez-Boussard will be presenting at the HEAL Webinar series, speaking on "Beyond Bias: Building Responsible AI for Inclusive Health Solutions", discussing racial and ethnic bias in algorithms and the impact this has on disparities in health and healthcare. The talk will be held from 12 noon to 1 p.m. PST on Monday, April 28, 2025. Register here.
Bridge2AI ELSI Discussion Forum Jan. 2025
Dr. Hernandez-Boussard was invited to speak at a discussion forum hosted by the NIH's Bridge2AI Consortium this January. Her talk, titled "Ensuring Responsible AI in Healthcare: Ethical Challenges and Pathways to Equity", explores the ethical challenges in healthcare AI. The talk's focus is on issues of bias, accountability, transparency, and fairness; as well as highlighting strategies to mitigate risks, engage stakeholders, and build trust, thereby emphasizing equitable, harm-reducing solutions for better patient outcomes.