San Francisco VA Medical Center

Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data

Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany et al.

2018 · 1.307 Zit.

Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review

Albert T. Young, Dominic Amara, A. Bhattacharya et al.

2021 · 341 Zit.

Assessment of a Deep Learning Model Based on Electronic Health Record Data to Forecast Clinical Outcomes in Patients With Rheumatoid Arthritis

Beau Norgeot, Benjamin S. Glicksberg, Laura Trupin et al.

2019 · 223 Zit.

Can Machine Learning Methods Produce Accurate and Easy-to-Use Preoperative Prediction Models of One-Year Improvements in Pain and Functioning After Knee Arthroplasty?

Alex H. S. Harris, Alfred C. Kuo, Thomas Bowe et al.

2020 · 65 Zit.

Developing a data sharing community for spinal cord injury research

Alison Callahan, Kim D. Anderson, Michael S. Beattie et al.

2017 · 56 Zit.

Next-Generation Artificial Intelligence for Diagnosis

Julia Adler‐Milstein, Jonathan H. Chen, Gurpreet Dhaliwal

2021 · 52 Zit.

Risk Stratification of Men with Gleason Score 7 to 10 Tumors by Primary and Secondary Gleason Score: Results from the SEARCH Database

David E. Kang, Nicholas J. Fitzsimons, Joseph C. Presti et al.

2007 · 52 Zit.

Confounders mediate AI prediction of demographics in medical imaging

Grant Duffy, Shoa L. Clarke, Matthew Christensen et al.

2022 · 46 Zit.

Empowering Data Sharing and Analytics through the Open Data Commons for Traumatic Brain Injury Research

Austin Chou, Abel Torres‐Espín, J. Russell Huie et al.

2022 · 29 Zit.

Seeing the Unseen: Advancing Generative AI Research in Radiology

Woojin Kim

2024 · 20 Zit.

Modernizing Medical Device Regulation: Challenges and Opportunities for the 510(k) Clearance Process

Kushal T. Kadakia, Vinay K. Rathi, Sanket S. Dhruva et al.

2024 · 17 Zit.

A clinical reasoning curriculum for medical students: an interim analysis

Denise M. Connor, Sirisha Narayana, Gurpreet Dhaliwal

2021 · 12 Zit.

Impact of hybrid supervision approaches on the performance of artificial intelligence for the classification of chest radiographs

Ryan J. Ellis, Erik Ellestad, Brett M. Elicker et al.

2020 · 9 Zit.

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models

Julien Cobert, Hunter Mills, Albert Lee et al.

2024 · 8 Zit.

Automatically Explaining Machine Learning Predictions on Severe Chronic Obstructive Pulmonary Disease Exacerbations: Retrospective Cohort Study

Siyang Zeng, Mehrdad Arjomandi, Gang Luo

2022 · 7 Zit.