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Tag: prediction

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation

Equity-enhanced glaucoma progression prediction from OCT with knowledge distillation

July 24, 2025July 24, 2025npj Digital Medicine

Glaucoma is a progressive disease that can lead to permanent vision loss, making progression prediction vital for guiding effective treatment. Deep learning aids progression prediction but may yield unequal outcomes across demographic groups. We…

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Predicting outcomes following endovascular aortoiliac revascularization using machine learning

Predicting outcomes following endovascular aortoiliac revascularization using machine learning

July 24, 2025July 24, 2025npj Digital Medicine

Endovascular aortoiliac revascularization is a common treatment option for peripheral artery disease that carries non-negligible risks. Outcome prediction tools may support clinical decision-making but remain limited. We developed machine learning algorithms that predict 30-day…

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Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury

Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury

July 22, 2025July 22, 2025npj Digital Medicine

Routinely collected blood tests can reflect underlying pathophysiological processes. We demonstrate that the dynamics of routinely collected blood tests hold prediction validity in acute Spinal Cord Injury (SCI). Using MIMIC data (n = 2615) for modeling…

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Re-identification of patients from imaging features extracted by foundation models

Re-identification of patients from imaging features extracted by foundation models

July 22, 2025July 22, 2025npj Digital Medicine

Foundation models for medical imaging are a prominent research topic, but risks associated with the imaging features they can capture have not been explored. We aimed to assess whether imaging features from foundation models…

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Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

July 22, 2025July 22, 2025npj Digital Medicine

Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…

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Vision-language model for report generation and outcome prediction in CT pulmonary angiogram

Vision-language model for report generation and outcome prediction in CT pulmonary angiogram

July 12, 2025July 12, 2025npj Digital Medicine

Accurate and comprehensive interpretation of pulmonary embolism (PE) from Computed Tomography Pulmonary Angiography (CTPA) scans remains a clinical challenge due to the limited specificity and structure of existing AI tools. We propose an agent-based…

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Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer

July 11, 2025July 11, 2025npj Digital Medicine

With the shift toward de-escalating surgery in breast cancer, prediction models incorporating imaging can reassess the need for surgical axillary staging. This study employed advancements in deep learning to comprehensively evaluate routine mammograms for…

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How machine learning on real world clinical data improves adverse event recording for endoscopy

How machine learning on real world clinical data improves adverse event recording for endoscopy

July 10, 2025July 10, 2025npj Digital Medicine

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accurate and comprehensive documentation is crucial for enhancing patient safety and optimizing clinical outcomes; however, adverse events remain underreported. This study evaluates a machine…

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Label efficient phenotyping for Long COVID using electronic health records

Label efficient phenotyping for Long COVID using electronic health records

July 4, 2025July 4, 2025npj Digital Medicine

Long COVID poses a significant disease burden globally, but its heterogeneous presentation and unreliable coding practices render it difficult to study. Developing efficient phenotyping algorithms is crucial to enabling risk prediction and effective management…

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Large language model trained on clinical oncology data predicts cancer progression

Large language model trained on clinical oncology data predicts cancer progression

July 2, 2025July 2, 2025npj Digital Medicine

Subspecialty knowledge barriers have limited the adoption of large language models (LLMs) in oncology. We introduce Woollie, an open-source, oncology-specific LLM trained on real-world data from Memorial Sloan Kettering Cancer Center (MSK) across lung,…

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