UCSF AI Publications
Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gaps
npj Digital Medicine,
Dean Schillinger, and 3 more from outside UCSF
Related to: Health Services, Comparative Effectiveness Research, Prevention, Cost Effectiveness Research, Clinical Research, Health Disparities
Deep phenotypic profiling of neuroactive drugs in larval zebrafish
Nature Communications,
Leo Gendelev, Jack Taylor, Douglas Myers-Turnbull, Steven Chen, Matthew N. McCarroll, Michelle R. Arkin, David Kokel, Michael J. Keiser
Altmetric score: 3
Cited 2 timesRelated to: Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence, Neurosciences
Clinical Sentiment Analysis by Large Language Models Enhances the Prediction of Hepatorenal Syndrome in Decompensated Cirrhosis
medRxiv,
Mason Lai, Cynthia Fenton, Jessica Rubin, Chiung-Yu Huang, Mark Pletcher, Jennifer C. Lai, Giuseppe Cullaro, Jin Ge
Altmetric score: 2Related to: Networking and Information Technology R&D (NITRD), Clinical Research
Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine
Journal of General Internal Medicine,
Lisa Rotenstein, and 20 more from outside UCSF
Altmetric score: 13Related to: Clinical Research, Machine Learning and Artificial Intelligence, Bioengineering
Foundation models for fast, label-free detection of glioma infiltration
Nature,
Melike Pekmezci, Katie Scotford, Mitchel Berger, Shawn Hervey-Jumper, and 20 more from outside UCSF
Altmetric score: 394
Cited 6 timesRelated to: Patient Safety, Brain Cancer, Brain Disorders, Rare Diseases, Clinical Research, Neurosciences, Cancer
Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review
Journal of the American Medical Informatics Association,
Sirui Ding, and 7 more from outside UCSF
Altmetric score:Related to: Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD)
Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models
Critical Care,
Odmara L. Barreto Chang, and 8 more from outside UCSF
Altmetric score: 5Related to: Bioengineering, Machine Learning and Artificial Intelligence, Minority Health, Health Disparities
Representation of intensivists’ race/ethnicity, sex, and age by artificial intelligence: a cross-sectional study of two text-to-image models
Critical Care,
Odmara L. Barreto Chang, and 8 more from outside UCSF
Altmetric score: 5Related to: Minority Health, Health Disparities, Machine Learning and Artificial Intelligence, Bioengineering
EPID-02. BLOOD-BASED CLASSIFICATION OF IDH-STATUS OF NON-ENHANCING GLIOMAS: A MACHINE LEARNING APPROACH
Neuro-Oncology,
Sara Hadad, Gayathri Warrier, Lucie Mccoy, Helen Hansen, Jiaying Chen, Terri Rice, Margaret Wrensch, Jennie Taylor, Jennifer Clarke, John Wiencke, Annette Molinaro
Related to: Brain Disorders, Cancer, Neurosciences, Rare Diseases, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Brain Cancer, Clinical Research
Cytometry masked autoencoder: An accurate and interpretable automated immunophenotyper
Cell Reports Medicine,
Carolyn S. Calfee, Kathleen D. Liu, Michael A. Matthy, Lamorna Brown Swigart, and 33 more from outside UCSF
Altmetric score: 4
Cited 1 timesDeep Learning Segmentation-Based Bone Removal from Computed Tomography of the Brain Improves Subdural Hematoma Detection
Journal of Neuroradiology,
Masis Isikbay, M Travis Caton, Jared Narvid, Jason Talbott, Soonmee Cha, Evan Calabrese
Altmetric score:Related to: Machine Learning and Artificial Intelligence, Biomedical Imaging, Networking and Information Technology R&D (NITRD), Bioengineering
Promises and pitfalls of artificial intelligence models in forecasting rheumatoid arthritis treatment response and outcomes
Seminars in Arthritis and Rheumatism,
Augusto Garcia-Agundez, Gabriela Schmajuk, Jinoos Yazdany
Altmetric score: 1Related to: Machine Learning and Artificial Intelligence, Rheumatoid Arthritis, Autoimmune Disease, Arthritis
The National Association of EMS Physicians Compendium of Prehospital Trauma Management Position Statements and Resource Documents
Prehospital Emergency Care,
Christopher Colwell, and 7 more from outside UCSF
Altmetric score: 2Related to: Neurosciences, Chronic Pain, Emergency Care, Traumatic Head and Spine Injury, Pain Research, Physical Injury - Accidents and Adverse Effects, Brain Disorders, Traumatic Brain Injury (TBI)
Artificial Intelligence in Cardiovascular Clinical Trials
Journal of the American College of Cardiology,
Geoffrey H. Tison, Heart Failure Collaboratory [last], and 16 more from outside UCSF
Altmetric score: 10
Cited 2 timesRelated to: Bioengineering, Machine Learning and Artificial Intelligence, Minority Health, Networking and Information Technology R&D (NITRD), Patient Safety, Clinical Research, Cardiovascular, Clinical Trials and Supportive Activities
NGT: Generative AI with Synthesizability Guarantees Discovers MC2R Inhibitors from a Tera-Scale Virtual Screen
Journal of Medicinal Chemistry,
Henry van den Bedem [last], and 3 more from outside UCSF
Altmetric score: 2Developing a Research Center for Artificial Intelligence in Medicine
Mayo Clinic Proceedings Digital Health,
Matthew P. Lungren, and 10 more from outside UCSF
Related to: Data Science, Networking and Information Technology R&D (NITRD), Bioengineering, Machine Learning and Artificial Intelligence
Developing a Research Center for Artificial Intelligence in Medicine
Mayo Clinic Proceedings Digital Health,
Matthew P. Lungren, and 10 more from outside UCSF
Related to: Data Science, Bioengineering, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence
Large Language Models—Misdiagnosing Diagnostic Excellence?
JAMA Network Open,
Sumant R. Ranji
Altmetric score: 29Large Language Models—Misdiagnosing Diagnostic Excellence?
JAMA Network Open,
Sumant R. Ranji
Altmetric score: 5A use case of ChatGPT: summary of an expert panel discussion on electronic health records and implementation science
Frontiers in Digital Health,
Grace McKee, and 9 more from outside UCSF
Altmetric score: 1Related to: Dissemination and Implementation Research, Networking and Information Technology R&D (NITRD)
Let's Have a Chat: How Well Does an Artificial Intelligence Chatbot Answer Clinical Infectious Diseases Pharmacotherapy Questions?
Open Forum Infectious Diseases,
Conan MacDougall, and 9 more from outside UCSF
Altmetric score: 19Introducing Our Custom GPT: An Example of the Potential Impact of Personalized GPT Builders on Scientific Writing
World Neurosurgery,
Aymen Kabir [first], Alexander Haddad, Daniel M S Raper [last], and 1 more from outside UCSF
Cited 1 timesRelated to: Machine Learning and Artificial Intelligence
Comparing Provider and ChatGPT Responses to Breast Reconstruction Patient Questions in the Electronic Health Record
Annals of Plastic Surgery,
Daniel Soroudi, Aileen Gozali, Jacquelyn A. Knox, Nisha Parmeshwar, Ryan Sadjadi, Jasmin C. Wilson, Seung Ah Lee, Merisa L. Piper
Related to: Cancer, Women's Health, Breast Cancer
P10.06.A AGENT-BASED MODELING FOR PATIENT-CENTERED CLINICAL DECISION SUPPORT IN NEURO-ONCOLOGY
Neuro-Oncology,
E Rodriguez Almaraz [first], B Miao, J de Groot, J Young, A Vo, A Butte, B S Mitchel, D Raleigh, N Butowski, A Alaa [last], and 1 more from outside UCSF
Related to: Rare Diseases, Cancer, Orphan Drug, Clinical Research, Patient Safety
P10.09.A BLOOD-BASED CLASSIFICATION OF IDH-STATUS OF NON-ENHANCING GLIOMAS: A MACHINE LEARNING APPROACH
Neuro-Oncology,
S Hadad, G Warrier, L McCoy, H Hansen, J Chen, T Rice, M Wrensch, J Taylor, J Clarke, J Wiencke, A Molinaro
Related to: Brain Disorders, Networking and Information Technology R&D (NITRD), Rare Diseases, Clinical Research, Neurosciences, Machine Learning and Artificial Intelligence, Cancer, Brain Cancer
Artificial intelligence in food and nutrition evidence: The challenges and opportunities
PNAS Nexus,
Sergio E Baranzini, and 12 more from outside UCSF
Altmetric score: 1Related to: Nutrition
How to build the virtual cell with artificial intelligence: Priorities and opportunities
Cell,
Christina V Theodoris, and 41 more from outside UCSF
Cited 5 timesRelated to: Machine Learning and Artificial Intelligence, Data Science, Networking and Information Technology R&D (NITRD), Bioengineering
Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?
JAMA Network Open,
Lisa S. Rotenstein, Robert M. Wachter
Altmetric score: 7Related to: Machine Learning and Artificial Intelligence, Data Science, Patient Safety, Networking and Information Technology R&D (NITRD)
Are Artificial Intelligence–Generated Replies the Answer to the Electronic Health Record Inbox Problem?
JAMA Network Open,
Lisa S. Rotenstein, Robert M. Wachter
Altmetric score: 7Related to: Data Science, Networking and Information Technology R&D (NITRD), Patient Safety, Machine Learning and Artificial Intelligence
Artificial Intelligence and Medical Education, Academic Writing, and Journal Policies: A Focus on Large Language Models
Academic Psychiatry,
Andreea Seritan, and 10 more from outside UCSF
Related to: Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence
Artificial Intelligence and Medical Education, Academic Writing, and Journal Policies: A Focus on Large Language Models
Academic Psychiatry,
Andreea Seritan, and 10 more from outside UCSF
Altmetric score: 1Related to: Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence
Evaluating the positive predictive value of code-based identification of cirrhosis and its complications utilizing GPT-4.
Hepatology,
Aryana T Far, Asal Bastani, Albert Lee, Oksana Gologorskaya, Chiung-Yu Huang, Mark J Pletcher, Jennifer C Lai, Jin Ge
Evaluating the use of large language models to provide clinical recommendations in the Emergency Department
Nature Communications,
Christopher Y. K. Williams, Brenda Y. Miao, Aaron E. Kornblith, Atul J. Butte
Altmetric score:
Cited 4 timesRelated to: Clinical Research, Health Services
Twelve tips for creating a works in progress conference that builds capacity for educational scholarship and creates a scholarly community
Medical Teacher,
Patricia S. O’Sullivan [first], David M. Irby, and 2 more from outside UCSF
Altmetric score: 1Beyond the stereotypes: Artificial Intelligence image generation and diversity in anesthesiology
Frontiers in Artificial Intelligence,
Odmara L. Barreto Chang, and 9 more from outside UCSF
Altmetric score: 1
Cited 1 timesRelated to: Health Disparities, Bioengineering, Minority Health, Networking and Information Technology R&D (NITRD), Machine Learning and Artificial Intelligence
7064 The Newest LLMs: Can They Help Patients With Diabetic Macular Edema?
Journal of the Endocrine Society,
Gloria Wu [first], Viki V Toram [last], and 4 more from outside UCSF
Related to: Diabetes
7056 Can ChatGPT Educate Multicultural Patients About Metabolic Syndrome?
Journal of the Endocrine Society,
Gloria Wu [first], Viki V Toram, and 5 more from outside UCSF
Related to: Nutrition, Diabetes, Prevention
7056 Can ChatGPT Educate Multicultural Patients About Metabolic Syndrome?
Journal of the Endocrine Society,
Gloria Wu [first], Viki V Toram, and 5 more from outside UCSF
Related to: Diabetes, Nutrition, Prevention
7064 The Newest LLMs: Can They Help Patients With Diabetic Macular Edema?
Journal of the Endocrine Society,
Gloria Wu [first], Viki V Toram [last], and 4 more from outside UCSF
Related to: Diabetes
Novel intravascular tantalum oxide-based contrast agent achieves improved vascular contrast enhancement and conspicuity compared to Iopamidol in an animal multiphase CT protocol
European Radiology Experimental,
Maurice M. Heimer [first], Yuxin Sun, Nikki Okwelogu, Benjamin M. Yeh [last], and 5 more from outside UCSF
Altmetric score:Related to: Biomedical Imaging, Bioengineering, Nanotechnology
Revitalizing grand rounds in the time of COVID
BMC Medical Education,
Lekshmi Santhosh, Lee Anne Rosenstein, Robert M. Wachter
Altmetric score: 1Related to: Coronaviruses, Infectious Diseases, Emerging Infectious Diseases
Clinical Notes as Narratives: Implications for Large Language Models in Healthcare
Journal of General Internal Medicine,
Teva D. Brender [first], Julien M. Cobert [last], and 1 more from outside UCSF
Altmetric score:Novel intravascular tantalum oxide-based contrast agent achieves improved vascular contrast enhancement and conspicuity compared to Iopamidol in an animal multiphase CT protocol
European Radiology Experimental,
Maurice M. Heimer [first], Yuxin Sun, Nikki Okwelogu, Benjamin M. Yeh [last], and 5 more from outside UCSF
Related to: Nanotechnology, Bioengineering, Biomedical Imaging
Revitalizing grand rounds in the time of COVID
BMC Medical Education,
Lekshmi Santhosh, Lee Anne Rosenstein, Robert M. Wachter
Altmetric score: 1Related to: Infectious Diseases, Emerging Infectious Diseases, Coronaviruses
Dreaming of electrical waves: Generative modeling of cardiac excitation waves using diffusion models
APL Machine Learning,
Tanish Baranwal, Jan Lebert, Jan Christoph
Altmetric score: 1Related to: Cardiovascular, Heart Disease
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
BMC Medical Imaging,
Adrian Serapio [first], Gunvant Chaudhari, Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jonathan Liu, Adam Yala, Jae Ho Sohn [last], and 2 more from outside UCSF
Cited 2 timesRelated to: Biomedical Imaging, Clinical Research
An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study
BMC Medical Imaging,
Adrian Serapio [first], Yoo Jin Lee, Maya Vella, Shravan Sridhar, Jonathan Liu, Adam Yala, Jae Ho Sohn [last], and 3 more from outside UCSF
Related to: Biomedical Imaging, Clinical Research
Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease
EBioMedicine,
Julia Prigann, and 19 more from outside UCSF
Altmetric score: 51
Cited 1 timesRelated to: Infectious Diseases, Coronaviruses, Emerging Infectious Diseases, Genetics, Human Genome
Bugs and drugs – what do pharmacists need to know and what’s the best way to learn it?
American Journal of Health-System Pharmacy,
Conan MacDougall [first], and 1 more from outside UCSF
Cited 1 timesBiomedical knowledge graph-optimized prompt generation for large language models
Bioinformatics,
Karthik Soman [first], John H Morris, Rabia E Akbas, Braian Peetoom, Catalina Villouta-Reyes, Gabriel Cerono, Yongmei Shi, Angela Rizk-Jackson, Sharat Israni, Sergio E Baranzini [last], and 4 more from outside UCSF
Related to: Networking and Information Technology R&D (NITRD)