Dr. Kim will share a recent study in which various Large Language Models (LLMs)’ performances were meticulously evaluated in detecting depressive or anxious symptoms from patient messages of those with diabetes. The capabilities of multiple models were assessed, including the latest reasoning models (GPT o1 and DeepSeek R1), utilizing diverse learning approaches in a HIPAA-compliant environment. She will highlight the key findings, clinical implications, and future directions related to the potential of LLMs in detecting poor mental health through patient messages. This approach aims to assist in timely screening and referrals, ultimately improving mental health care for individuals with chronic diseases.
About Jiyeong Kim, PhD, MPH
Dr. Kim is a clinical research informaticist who aims to leverage artificial intelligence (AI) tools to enhance patient-centered care. She is currently supported by NIH K01 Career Development Award (Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes Mellitus). During her first year of a postdoctoral scholarship at the Stanford Center for Digital Health, she focused on evaluating AI tools and elaborating on patients’ needs by analyzing patient portal messages, being productive (15 publications with 9 first-authored; 4 currently under review and 2 submission-ready, all first-authored).
Upcoming Events in this Series
The Geometry of Thought: Computational Psychiatry, AI, and the Structure of Belief
Featuring Baihan Lin, PhD
Tuesday, March 18, 2025 | 3-4 p.m. | Hybrid Event
Machine Intelligence for Healthcare Hyper-Personalization
Featuring Zeeshan Syed, PhD
Tuesday, March 25, 2025 | 3-4 p.m. | Hybrid Event
To learn more about the DoC-IT Visiting Speaker Series, click here.
Add to Calendar2025-03-10 21:00:002025-03-10 22:00:00DoC-IT Visiting Speaker: Jiyeong Kim, PhD, MPH
Hybrid Event
Light refreshments will be provided.
Email [email protected] for the registration information.
About the Event
Dr. Kim will share a recent study in which various Large Language Models (LLMs)’ performances were meticulously evaluated in detecting depressive or anxious symptoms from patient messages of those with diabetes. The capabilities of multiple models were assessed, including the latest reasoning models (GPT o1 and DeepSeek R1), utilizing diverse learning approaches in a HIPAA-compliant environment. She will highlight the key findings, clinical implications, and future directions related to the potential of LLMs in detecting poor mental health through patient messages. This approach aims to assist in timely screening and referrals, ultimately improving mental health care for individuals with chronic diseases.
About Jiyeong Kim, PhD, MPH
Dr. Kim is a clinical research informaticist who aims to leverage artificial intelligence (AI) tools to enhance patient-centered care. She is currently supported by NIH K01 Career Development Award (Leveraging Large Language Models and Machine Learning Algorithms to Assess Depression and Anxiety Symptoms and Risks for Patients with Cardiovascular Disease or Diabetes Mellitus). During her first year of a postdoctoral scholarship at the Stanford Center for Digital Health, she focused on evaluating AI tools and elaborating on patients’ needs by analyzing patient portal messages, being productive (15 publications with 9 first-authored; 4 currently under review and 2 submission-ready, all first-authored).
Upcoming Events in this Series
The Geometry of Thought: Computational Psychiatry, AI, and the Structure of Belief
Featuring Baihan Lin, PhD
Tuesday, March 18, 2025 | 3-4 p.m. | Hybrid Event
Machine Intelligence for Healthcare Hyper-Personalization
Featuring Zeeshan Syed, PhD
Tuesday, March 25, 2025 | 3-4 p.m. | Hybrid Event
To learn more about the DoC-IT Visiting Speaker Series, click here.
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