Stanford University
Showing 31-40 of 87 Results
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Jenelle Asha Jindal
Affiliate, Med/BMIR
BioDr. Jenelle Jindal is currently a research collaborator in the lab of Dr. Nigam Shah. She strongly believes in the need for AI to augment healthcare, and her research interests focus on evaluating new use cases for AI in healthcare.
She has experience as an operator within the healthcare system, serving as medical director at El Camino Hospital in Silicon Valley launching telestroke and 24/7/365 thrombectomy care. Subsequently the hospital was recognized by the Joint Commission with a new higher level of Thrombectomy Capable Certification. She also completed a tour of duty helping in the Emergency Operations Center of Santa Clara County during the COVID-19 pandemic assisting with antigen testing deployment and increasing vaccination uptake.
She is also an experienced neurologist, caring for thousands of patients as a practicing physician. Her clinical focus has included treating strokes, brain hemorrhage, epilepsy, and neurodegenerative disease in the emergency room, ICU, and hospital wards. She was founder and CEO running a private medical practice for nearly 7 years and served as a Medical Advisory Board member of the Pacific Stroke Association.
She is a graduate of Stanford University, Yale School of Medicine, and completed residency and fellowship at the Harvard hospitals of Mass General and Brigham & Womens.
Recent publications:
--Ensuring useful adoption of GenAI in healthcare: https://bit.ly/3Tq9eYn
--Zero-shot clinical trial patient matching with LLMs: https://arxiv.org/abs/2402.05125
--Medalign preprint using LLMs to query medical records data: https://arxiv.org/abs/2308.14089
LinkedIn: www.linkedin.com/in/jenellejindal/ -
Teri Klein
Professor (Research) of Biomedical Data Science, of Medicine (BMIR) and, by courtesy, of Genetics
Current Research and Scholarly InterestsCo-founder, Pacific Symposium on Biocomputing
NIEHS, Site Visit Reviewer
NIH, Study Section Reviewer -
Curtis Langlotz
Professor of Radiology (Thoracic Imaging), of Medicine (Biomedical Informatics Research), of Biomedical Data Science and Senior Fellow at the Stanford Institute for HAI
Current Research and Scholarly InterestsI am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.
