Friday, January 26, 2024
12–12:30 p.m. Presentation by Samuel Blake and Aditya Vaidyam
12:30–12:45 p.m. Questions & Dialogue
Register here for lunch with colleagues at MSB Lecture Hall (Room 274) *
(*Registration closes at noon on Monday, January 22 )
Or Attend virtually via Zoom call-in
Generative artificial intelligence and large language models (LLMs) are poised to revolutionize the way we deliver medical care, but their efficacy, usability, patient safety, risks, and harm are not yet well understood. AI-based conversational agents like ChatGPT have been theorized to potentially increase access to high-quality psychiatric and mental health care, but questions remain about how the structure and function of advanced machine learning models may interplay with patients with mental health challenges. In this talk, Samuel Blake and Aditya Vaidyam examine these questions as well as transparency, accountability, and patient autonomy. Blake and Vaidyam will discuss opportunities to reinvent clinical care as well as potential pitfalls that could lead to severe patient harm. They will also explore the state-of-the-art engineering developments at the intersection of artificial intelligence and medicine through the lens of personalized and adaptive clinical care.*
*[Based on research conducted by Aditya Vaidyam, Samuel Blake, Khirsen Corbins, Sid Limaye, and Micah Silberstein, in collaboration with Dr. John Torous, MD, director of the Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center and Harvard Medical School.]
Samuel Blake is a second-year medical student at the Carle Illinois College of Medicine. He received his bachelor’s degree in chemical engineering from the University of Connecticut, with a specialty in lipid nanoparticle development. During the COVID-19 pandemic, he served as a critical care EMT in Los Angeles and Orange Counties. He collaborated with the Structural Heart Clinic at the Beth Israel Deaconess Medical Center to limit coronavirus exposure by facilitating virtual preoperative screenings for high-risk patients. His current research at Carle Foundation Hospital and the Beth Israel Deaconess Medical Center focuses on optimization of spine surgery approaches and outcomes, including novel percutaneous and robotic-assisted procedures, smart spine hardware, predictive surgical risk modeling, and the impact of digital health technologies and psychosocial factors on surgical outcomes.
Aditya Vaidyam is a second-year medical student at the Carle Illinois College of Medicine and formerly Assistant Director of Clinical Systems at the Division of Digital Psychiatry at the Beth Israel Deaconess Medical Center. His research focus ranges from engineering and architecting health care systems that improve access and quality of care to investigating the underlying symptomatology of mental illness. He is a principal architect of the LAMP Platform, which supports personalized just-in-time adaptive interventions and digital phenotyping in populations with serious mental illnesses such as schizophrenia. His clinical research involves the use of machine learning algorithms for longitudinal data analysis and personalized interventions for mindfulness and patient education. Vaidyam holds a bachelor’s degree in neurobiology & physiology and computer science from Purdue University, as well as a master’s degree in medical science from Boston University.
