Preetham Bachina
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View article: Career Outcomes Among Graduates of 2 Urban Health Primary Care Training Programs
Career Outcomes Among Graduates of 2 Urban Health Primary Care Training Programs Open
Background In response to the ongoing primary care physician shortage and high attrition in primary care residency tracks, a large urban hospital unveiled the urban health (UH) internal medicine primary care track (IM PCT) and the combined…
View article: Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology
Pitfalls and Best Practices in Evaluation of AI Algorithmic Biases in Radiology Open
Evaluation of algorithmic biases, or artificial intelligence biases, is challenging in radiology due to incomplete reporting of demographic information in medical imaging datasets, variability in definitions of demographic categories, and …
View article: Generative Artificial Intelligence for Secure and Scalable Multimodal Eye Movement Datasets
Generative Artificial Intelligence for Secure and Scalable Multimodal Eye Movement Datasets Open
Eye movements, such as nystagmus, saccades, and smooth pursuit, provide valuable information about neurological function but have limited publicly accessible datasets due to patient privacy concerns. To address this, we leverage generative…
View article: Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis Open
This is the largest study of VV-ECMO patients to use ML to predict ABI reported to date. Performance was suboptimal, likely due to lack of standardization of neuromonitoring/imaging protocols and data granularity in the ELSO Registry. Stan…
View article: Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis
Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis Open
In the largest study predicting neurological complications with machine learning in extracorporeal membrane oxygenation, longer extracorporeal membrane oxygenation duration and higher 24-hour pump flow were associated with acute brain inju…
View article: Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis Open
Background: Venovenous extracorporeal membrane oxygenation (VV-ECMO) is associated with acute brain injury (ABI), including central nervous system (CNS) ischemia (defined as ischemic stroke or hypoxic-ischemic brain injury) and intracrania…
View article: Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis
Coarse Race and Ethnicity Labels Mask Granular Underdiagnosis Disparities in Deep Learning Models for Chest Radiograph Diagnosis Open
See also the editorial by Nikolic in this issue.
View article: An Electronic Algorithm to Identify Vancomycin-Associated Acute Kidney Injury
An Electronic Algorithm to Identify Vancomycin-Associated Acute Kidney Injury Open
Background The burden of vancomycin-associated acute kidney injury (V-AKI) is unclear because it is not systematically monitored. The objective of this study was to develop and validate an electronic algorithm to identify cases of V-AKI an…
View article: Programmatic Adoption and Implementation of Video-Observed Therapy in Minnesota: Prospective Observational Cohort Study
Programmatic Adoption and Implementation of Video-Observed Therapy in Minnesota: Prospective Observational Cohort Study Open
Background In-person directly observed therapy (DOT) is standard of care for tuberculosis (TB) treatment adherence monitoring in the US, with increasing use of video-DOT (vDOT). In Minneapolis, vDOT became available in 2019. Objective In t…
View article: Programmatic adoption and implementation of Video-observed therapy in Minnesota: Prospective Observational Cohort Study (Preprint)
Programmatic adoption and implementation of Video-observed therapy in Minnesota: Prospective Observational Cohort Study (Preprint) Open
BACKGROUND In-person directly observed therapy (DOT) is commonly used for tuberculosis (TB) treatment adherence monitoring in the US, with increasing usage of video-DOT (vDOT). In Minneapolis, vDOT became available in 2019. OBJECTIVE We…
View article: Structural basis of ion transport and inhibition in ferroportin
Structural basis of ion transport and inhibition in ferroportin Open
Ferroportin is an iron exporter essential for releasing cellular iron into circulation. Ferroportin is inhibited by a peptide hormone, hepcidin. In humans, mutations in ferroportin lead to ferroportin diseases that are often associated wit…
View article: Structure and mechanism of a primate ferroportin
Structure and mechanism of a primate ferroportin Open
Ferroportin is the only cellular iron exporter in human and essential for iron homoeostasis. Mutations in ferroportin are associated with hemochromatosis or ferroportin diseases characterized by a paradoxical combination of anemia and abno…