RHAIL | UW Tacoma

Responsible Health AI Lab

The RHAIL lab at the University of Washington Tacoma stems from a collaborative effort between the School of Engineering and Technology and the School of Nursing and Healthcare Leadership. This interdisciplinary partnership is at the core of our mission. We believe that innovative applications of artificial intelligence hold immense potential in addressing a wide range of challenges related to disease prevention, diagnosis and treatment, and self- and family management of chronic health conditions. However, it is essential to acknowledge the genuine risks associated with AI systems in this context, particularly regarding algorithmic bias based on gender and race. Our primary goal is to pioneer responsible AI solutions. We aspire to ensure that these solutions offer the same high-quality service to all patients and families while safeguarding their privacy and addressing issues of fairness and equity.

Members

Dr. Martine De Cock, School of Engineering and Technology, webpage, mdecock@uw.edu
Dr. Weichao Yuwen, School of Nursing and Healthcare Leadership, webpage, wyuwen@uw.edu
Dr. Ling-Hong Hung, School of Engineering and Technology, webpage, lhhung@uw.edu
Daniil Filienko, School of Engineering and Technology, webpage, daniilf@uw.edu
Steven Golob, School of Engineering and Technology, webpage, golobs@uw.edu
Sikha Pentyala, School of Engineering and Technology, webpage, sikha@uw.edu
Geetha Sitaraman, School of Engineering and Technology, sgeetha@uw.edu

Highlights

Daniil Filienko has been awarded a NIH AIM-AHEAD Research Fellowship, Cohort 3 (Sep 2024).
RHAIL is a NIH AIM-AHEAD PAIR Phase 2 awardee (Sep 2024).
Our project on using generative AI to assist cultural and linguistic adaptations of clinical trial materials has been awarded pilot funding by the UW Institute of Translational Health Sciences, Aug 2024.
Our paper on comparing prompting techniques to improve GPT-delivered Problem-Solving Therapy is accepted for presentation at the AMIA 2024 Annual Symposium.
Our poster on developing an AI-assisted platform to support tuberculosis care delivery is accepted for presentation at the 34th Medical Informatics Europe (MIE2024) conference.
RHAIL alumna Caroline El Jazmi was recognized in the Commencement speech of UWT Chancellor Lange, June 7, 2024.
RHAIL received a UW Population Health Initiative pilot research grant on "Building and evaluating AI-augmented treatment support for individuals with tuberculosis" in collaboration with Biobehavioral Nursing and Health Informatics (UW Seattle), May 20, 2024.
RHAIL received a UW Tacoma Founders Endowment Grant for research on "Privacy-Preserving Generative AI for Equitable Cancer Research", May 10, 2024.
Daniil Filienko and Caroline El Jazmi received the Andrew and Julie Fry Innovation Award at the School of Engineering and Technology for their work on the "Caring for Caregivers Online" (COCO) project, Apr 25, 2024.
Steven Golob has been selected for an AIM-AHEAD Traineeship in Advanced Data Analysis using the All of Us Clinical Database (Jan 2024)
The RHAIL lab has been selected for the first NIH supported AIM-AHEAD PAIR cohort (Oct 2023)

Photos

Group picture at AIHES, Atlanta, Aug 6, 2024 — At AIHES meeting, Atlanta, Aug 6, 2024
Steven Golob, Ling-Hong Hung, Weichao Yuwen, Serena Xie

Picture at poster AIHES, Atlanta, Aug 6, 2024 — At AIHES meeting, Atlanta, Aug 6, 2024
Steven Golob, Ling-Hong Hung, Weichao Yuwen, Serena Xie

Group picture at Fostering Connections in AI and Health, UW Seattle, Mar 5, 2024 — At "Fostering Connections in AI and Health", UW Seattle, March 5, 2024
Sikha Pentyala, Daniil Filienko, Jingjing Xu, Martine De Cock, Weichao Yuwen, Jingyi Li, Serena Xie