Adult diffuse gliomas are clinically and molecularly heterogeneous, complicating risk stratification and personalized management. We introduce GlioSurv, a multimodal transformer model based on an accelerated failure time framework to integrate multiparametric MRI, clinical and…
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Cage subsidence after oblique lumbar interbody fusion (OLIF) frequently causes poor outcomes, yet existing predictive models lack accuracy and applicability. This study leveraged the Least Absolute Shrinkage and Selection Operator (LASSO) regression to efficiently…
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Potentially malignant oral lesions are visible mucosal changes with risk of progressing to squamous cell carcinoma. These lesions are currently graded as no, mild, moderate, or severe dysplasia per WHO guidelines. While widely used,…
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Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…
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Background: Cardiovascular diseases remain the leading cause of mortality worldwide, accounting for 18 million deaths annually. Detection and prediction of cardiovascular conditions are essential for timely intervention and improved patient outcomes. Wearable devices offer…
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Cardiovascular diseases remain the leading cause of death in developed countries. This study introduces deep learning ensembles for arrhythmia detection and atrial fibrillation (AF) recurrence prediction from electrocardiogram scans, supported by explainable artificial intelligence…
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T.H.E. Clinic, a federally qualified health center serving a low-income communmity in Los Angeles, recently reduced missed patient visits (“no-shows”) from 25-28% to 13-14%. To learn more about this exceptional improvement, we sat down…
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What You Should Know:
– Planbase, the first AI-native employee management platform designed specifically for healthcare, has officially launched, securing $2.1M in seed funding led by Y Combinator, LocalGlobe, and prominent angels.
– The company will…
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Robots in the exhibit hall. AI cutting delays in medication access. And a bold prediction about how we’ll look back on AI in healthcare five years from now. Day 2 at HLTH 2025 delivered…
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Harmonized ONcologY Biomedical Embedding Encoder (HONeYBEE) is an open-source framework that integrates multimodal biomedical data for oncology applications. It processes clinical data (structured and unstructured), whole-slide images, radiology scans, and molecular profiles to generate…
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