arterial hypertension
PulseAugur coverage of arterial hypertension — every cluster mentioning arterial hypertension across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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AI models perpetuate disease stereotypes, study finds
AI language models are reinforcing harmful stereotypes by disproportionately associating certain diseases with specific demographics and genders. A study from Australia found that models frequently link conditions like …
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GenFAR framework learns generalized brain representations from 49,246 MRIs
Researchers have developed GenFAR, a novel deep learning framework designed to create generalized, clinically informed feature representations from brain MRIs. This modular architecture was trained on a large dataset of…
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AI framework reveals pathways linking social disadvantage to cardiometabolic disease
Researchers have developed a novel AI-driven framework to explore the complex links between socioeconomic disadvantage, psychosocial factors, and cardiometabolic multimorbidity. By integrating diverse data types includi…
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Machine learning models accelerate chronic disease estimation in US small areas
Researchers have developed machine learning models to address the lag in small-area estimation (SAE) of chronic diseases. By learning the relationship between frequently updated area-level predictors and existing SAE ou…
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New CGMD framework improves hypertension prediction using graph-mediated distillation
Researchers have developed a novel framework called Clinical Graph-Mediated Distillation (CGMD) to improve hypertension prediction from retinal fundus images. This method addresses the challenge of limited paired MRI an…
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AI-first models offer new path for rural healthcare beyond hospitals
Rural healthcare in the United States faces a critical challenge due to its hospital-centric architecture, which is ill-suited for the needs of rural communities. A significant number of rural hospitals are at risk of c…
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New CardioMeta framework improves multi-disease prediction with calibrated probabilities
Researchers have developed CardioMeta, a new multi-task framework designed for the joint prediction of diabetes, hypertension, and cardiovascular disease. This framework aims to improve upon existing machine learning mo…
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AI and wearables enhance hypertension management and risk prediction
A recent publication titled "Management of Hypertension in the Digital Era" explores the integration of artificial intelligence, wearable blood pressure devices, and remote monitoring. These technologies facilitate cont…