Stanford University
Showing 921-930 of 944 Results
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Kevin M Lutley
Clinical Assistant Professor, Medicine - Primary Care and Population Health
BioDr. Lutley is a primary care doctor. He is board certified in internal medicine.
For every patient, he creates a customized care plan. Plans focus on helping each person enjoy the best possible health and wellness.
Dr. Lutley has helped advance care through research. He has shared his research discoveries with his peers in invited presentations. Topics include drug prices in community pharmacies and the quality of interactions between patients and resident physicians.
While an internal medicine resident at Stanford, Dr. Lutley served as a member of the Stanford Ambulatory Care Excellence Program. This initiative aims to enhance the quality of outpatient primary care.
Dr. Lutley helps educate the primary care doctors of tomorrow. He is a clinical assistant professor of primary care and population health in the Stanford Department of Medicine, Division of Primary Care.
Before joining Stanford, Dr. Lutley performed needs assessments and care coordination with local public health agencies in Flint, Michigan.
Recognition for his achievements includes induction in the Gold Humanism Honor Society. This national organization honors senior medical students, residents, teachers and others for excellence in clinical care, leadership, and compassion. Additional honors for Dr. Lutley include induction in Alpha Omega Alpha, the honor society in the field of medicine.
From Stanford University, he received the Julian Wolfsohn Award. This honor goes to residents who demonstrate exemplary professionalism, teaching, and dedication to patient care.
Dr. Lutley is a member of the American College of Physicians. -
Amelie Lutz
Adjunct Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsMolecular imaging in oncology
Peripheral Nerve Imaging
Cellular imaging of musculoskeletal inflammatory diseases
Kinematic musculoskeletal imaging
Magnetic resonance imaging of hepatic disorders -
Julie Lutz, PhD
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
BioDr. Julie Lutz is a licensed clinical psychologist with specialty training in geropsychology/aging and suicide prevention. She received her PhD from West Virginia University, completed her predoctoral internship with an emphasis in geropsychology at the VA Palo Alto Health Care System, and completed a T32 postdoctoral clinical research fellowship in suicide prevention at the University of Rochester Medical Center in New York. She worked in clinical research on suicide prevention among older Veterans at the VA Palo Alto Health Care System following postdoctoral fellowship. Her research and clinical work both focus on evidence-based behavioral interventions to address mental health, social connection, and coping with chronic health and functioning issues to reduce risk in later life.
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Matthias Christian Lutz
Graduate, Medicine, Dermatology
BioI’m a German fourth-year medical student and Student Researcher at the Stanford Center for Digital Health, currently conducting my doctoral research at the intersection of artificial intelligence, cardiology, and patient-centered digital health under the supervision of Dr. Fatima Rodriguez and Dr. Paul Schmiedmayer. My work focuses on developing multimodal large language model (LLM)-based systems that integrate clinical and behavioral data to improve health literacy, patient activation, and early cardiovascular prevention at scale.
My current research addresses one of the most pressing challenges in modern healthcare: preventing the progression of early cardiovascular disease, particularly the recently defined cardiovascular-kidney-metabolic (CKM) syndrome, which affects the vast majority of adults in the United States. Despite major advances in the treatment of obesity, hypertension, and diabetes, cardiovascular disease remains the leading cause of mortality worldwide. A central bottleneck lies not in the lack of clinical knowledge, but in the insufficient translation of this knowledge into patient understanding, risk perception, and sustained behavioral change.
To address this gap, I develop and evaluate personalized, contextualized, and explainable conversational AI systems designed to support patients in understanding and managing their own health. By integrating longitudinal electronic health record data, patient communication, and behavioral trajectories, my work aims to create guideline-aligned AI systems capable of delivering interpretable feedback and personalized smart nudges through conversational interfaces. The broader vision is to establish scalable, clinically grounded frameworks for preventive cardiometabolic care that bridge advanced AI methodology with real-world patient behavior and implementation.
I ranked among the top 1% nationwide in Germany’s first written medical licensing examination and additionally gained over two years of experience at Brainlab SE in Clinical Affairs, where I contributed to the management of more than 90 international clinical trials and regulatory approval processes. These experiences strongly shaped my interest in translational research at the interface of clinical medicine, technology development, and real-world implementation.
Beyond my research, I am the co-founder and former chair of OneAIM (one-aim.org), a student-led MedTech initiative that has grown into the largest organization of its kind in Germany, connecting more than 500 students across medicine, engineering, and computer science through interdisciplinary innovation programs. In parallel, I am actively involved in shaping medical education: as the only student member of the curriculum commission at the Technical University of Munich, I play a leading role in integrating digital medicine into the medical curriculum. I also served as instructor for the elective course “Neural Networks - AI in Medicine” at LMU Munich, where I introduced students to the intersection of clinical medicine and artificial intelligence.
My broader goal is to advance clinically grounded, explainable AI systems that not only improve clinical decision-making, but also empower patients and physicians alike, ultimately bridging the gap between technological innovation and meaningful real-world healthcare impact. -
Hannah Luxenberg-Tono
Affiliate, Medicine - Primary Care and Population Health
BioHannah Luxenberg is a researcher in human-computer interaction and implementation science exploring how emerging technologies can support patient pain management in palliative care. Her work focuses on designing and evaluating accessible, patient-centered technologies through interdisciplinary and global collaboration.
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Daphne P. Ly, MD, FACS
Affiliate
Current Research and Scholarly Interests1. Integrate machine learning with electronic health record system to improve work flow and achieve individualize cancer care based on current evidence.
2. Apply Cancer Genetics in cancer treatment and cancer risk reduction.
