David Hovsepian MD

Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science and Senior Associate Vice Provost for Research at Stanford University. His laboratory investigates the use of deep neural networks and other machine learning technologies to detect disease and eliminate diagnostic errors through analysis of medical images and clinical notes. He is a Senior Fellow at Stanford’s Institute for Human-Centered Artificial Intelligence and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports over 150 Stanford faculty conducting interdisciplinary artificial intelligence research that optimizes how clinical data are used to promote health.

Vol Van Dalsem, MD, is a clinical professor specializing in general radiology, affiliated with Stanford Health Care and its various facilities in Palo Alto and Redwood City, California. With a strong educational background, including a medical degree from Stanford University and extensive training at UCSF, Dr. Van Dalsem is dedicated to providing high-quality imaging services. The practice encompasses multiple locations, including the Stanford Hospital and the Stanford Medicine Cancer Center, where patients can access comprehensive radiology services. Dr. Van Dalsem's commitment to patient-centered care is reflected in his involvement in creating imaging services that prioritize patient needs and preferences. Generated from the website

David Drover in Palo Alto, CA, is a recognized healthcare provider associated with Stanford Health Care. The practice specializes in cardiology, offering residents access to top-tier medical care led by experienced professionals, including Clinical Associate Professor Kenneth Sakamoto. With a commitment to patient care, the clinic emphasizes thorough explanations, attentiveness, and collaborative decision-making between doctors and patients. Reviews reflect high satisfaction ratings, showcasing the friendly and professional atmosphere fostered by the staff and providers. Generated from the website