19 citations · 50 across the 9 of their papers we have counts for
9 papers
Kidney function and kidney failure prediction in a large multiethnic population
James A. Diao, Morgan Sanchez, Adir Sommer +7
Background: Patients with chronic kidney disease (CKD) experience worsening kidney function and develop subsequent kidney failure at different rates. Accurate estimates of a patien…
Laboratory Trajectories Improve Kidney Failure Risk Estimation
Morgan Sanchez, James A. Diao, Jesse Cummings +8
Accurate kidney failure risk assessment is critical to timely intervention in chronic kidney disease (CKD). Existing equations (e.g. Kidney Failure Risk Equation; KFRE) rely on sin…
Learning Normal Representations for Blood Biomarkers
Aashna P. Shah, Michelle M. Li, Yash Lal +9
Blood-based biomarkers underpin clinical diagnosis and management, yet their interpretation relies largely on fixed population reference intervals that ignore stable, intra-patient…
Statin Recommendations among US Adults with the 2026 Dyslipidemia Guidelines
James A. Diao, Thomas A. Buckley, Andrew Z. Zhou +3
Importance: The 2026 multisociety dyslipidemia guideline recommended the PREVENT equations in place of the PCE equations, introduced 30-year risk assessment as a new treatment path…
Disentangling Proxies of Demographic Adjustments in Clinical Equations
Aashna P. Shah, James A. Diao, Emma Pierson +2
The use of coarse demographic adjustments in clinical equations has been increasingly scrutinized. In particular, adjustments for race have sparked significant debate with several…
Teaching large language models to reason like expert diagnosticians
Thomas A. Buckley, Riccardo Conci, Peter G. Brodeur +23
Differential diagnosis is an iterative process that integrates patient information with broader medical knowledge. Clinical case series such as the NEJM Clinicopathologic Conferenc…
Multimodal Foundation Models Exploit Text to Make Medical Image Predictions
Thomas Buckley, James A. Diao, Pranav Rajpurkar +2
Multimodal foundation models have shown compelling but conflicting performance in medical image interpretation. However, the mechanisms by which these models integrate and prioriti…
Augmenting medical image classifiers with synthetic data from latent diffusion models
Luke W. Sagers, James A. Diao, Luke Melas-Kyriazi +6
While hundreds of artificial intelligence (AI) algorithms are now approved or cleared by the US Food and Drugs Administration (FDA), many studies have shown inconsistent generaliza…
Improving dermatology classifiers across populations using images generated by large diffusion models
Luke W. Sagers, James A. Diao, Matthew Groh +3
Dermatological classification algorithms developed without sufficiently diverse training data may generalize poorly across populations. While intentional data collection and annota…