School of Medicine
Showing 4,611-4,620 of 5,034 Results
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Nina Vasan, MD, MBA
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAt Brainstorm: The Stanford Lab for Mental Health Innovation, we lead the way in digital well-being: translating cutting-edge research into practical solutions for healthier tech use.
We are first and foremost practicing physicians; we treat patients and families. Then, grounded by the foundational oath in medicine to “do no harm,” we help companies build products that prioritize user health with responsibility and care. Our work has shaped platforms used by millions—helping Pinterest design "compassionate search", guiding TikTok in healthy screen-time management, and partnering with ML Commons to establish the first mental health safety benchmarks for large language models (LLMs).
Brainstorm is further committed to “do good” by leveraging these technologies to build a healthier digital world. We advised Dove’s Self-Esteem Project and Real Beauty Prompt Playbook, which studied AI’s impact on beauty and set new digital standards of representation. Additionally, after sharing the results of research conducted with the Stanford Center for AI Safety on the ethics, efficacy, and safety of LLMs providing mental health support, we developed the “Framework for Healthy AI” to guide industry best practices in AI product innovation.
As we apply this expertise to improve users' daily lives, it’s clear that addressing digital intimacy presents unique challenges compared to traditional human relationships. This technology is still emerging, and we are all adapting to it in real-time as it evolves. The big question is: How can we help users cultivate healthy, safe digital relationships?
After seeing success with the Stanford Social Media Safety Plan, which reduced harmful digital behaviors among users, we are now designing the Stanford GenAI Psychological Safety Plan (GPS). The Stanford GPS is a tool to help individuals, tech developers, and policymakers navigate this new terrain and make informed decisions about AI’s role in mental health.
Check out the start of the Stanford GPS in Fortune: This 4-question quiz from Stanford psychiatrists can help protect from the dangers of AI. -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
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Zackary Vaughn, MD
Clinical Assistant Professor, Orthopaedic Surgery
Current Research and Scholarly InterestsHip Arthroscopy in the Treatment of Femoroacetabular Impingement and Labral Tears
Anterior Cruciate Ligament Reconstruction and Revision Techniques -
Shivam Vedak
Clinical Assistant Professor, Medicine
BioShivam Vedak, MD, MBA, is a Clinical Assistant Professor in the Division of Hospital Medicine at Stanford University School of Medicine. He earned his Bachelor of Science in Biology-Neuroscience from the Schreyer Honors College at The Pennsylvania State University, followed by a dual MD/MBA from the University of Illinois at Chicago (UIC). He completed his residency in Internal Medicine at UIC, where he was honored as the institution’s American College of Physicians Outstanding Resident of the Year in 2022, and subsequently completed a fellowship in Clinical Informatics at Stanford.
Clinically, Dr. Vedak practices as a surgical co-management hospitalist at Stanford Health Care (SHC). His academic and operational work centers on the practical integration of generative artificial intelligence (AI) into clinical workflows, ranging from safe and effective deployment and monitoring to the broader education of healthcare workers on these rapidly evolving technologies. He is frequently invited to speak at national conferences, academic institutions, and professional events, offering both engaging interactive workshops and structured didactic sessions on the fundamentals of large language models (LLMs) and evidence-based prompting techniques. -
Anand Veeravagu, MD, FAANS, FACS
Associate Professor of Neurosurgery and, by courtesy, of Orthopaedic Surgery
Current Research and Scholarly InterestsThe focus of my laboratory is to utilize precision medicine techniques to improve the diagnosis and treatment of neurologic conditions. From traumatic brain injury to spinal scoliosis, the ability to capture detailed data regarding clinical symptoms and treatment outcomes has empowered us to do better for patients. Utilize data to do better for patients, that’s what we do.
Stanford Neurosurgical Ai and Machine Learning Lab
http://med.stanford.edu/neurosurgery/research/AILab.html
