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Filtern nach: Sammlung 55th Annual Duke School of Medicine Student Research Symposium Fach Machine Learning

Retrospective Development and Validation of a Machine Learning Tool to Predict Patient Outcomes of Chronic Lower Back Pain

Beschreibung:	Background: Chronic lower back pain (LBP) is a leading cause of disability and economic burden worldwide. Despite numerous treatment modalities, patient outcomes remain poor. Identifying the correct treatment for a given patient remains presenting...
Datum erstellt:	August 1-2, 2024

Improving Microbial Keratitis Artificial Intelligence Screening Tools Constrained by Limited Data Using Synthetic Generation of Slit Lamp Photos

Beschreibung:	Background: Artificial Intelligence (AI) models, like those used in diabetic retinopathy screening, require large amounts of data to train. Models for diseases with limited public data like microbial keratitis (MK), a top five cause of blindness...
Datum erstellt:	August 1-2, 2024

Using machine learning for targeted advance care planning (ACP) conversations in cancer patients: a quality improvement initiative

Beschreibung:	Background: Despite improvements, patients with advanced cancer often do not receive goal-concordant care at the end of life (EOL). Challenges with prognostication contribute to delays ACP conversations and result in more aggressive care, gaps in...
Datum erstellt:	August 1-2, 2024

Glioma Imaging Predicts Underlying Genetic Mutations: A Multicenter Study

Beschreibung:	Background: Gliomas are the most common malignant primary brain tumor. Genomic characterization is necessary for diagnosis and treatment decisions, for which the brain is biopsied and can lead to delays in care, morbidity, and mortality. Here, we...
Datum erstellt:	August 1-2, 2024