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Prognostic Value of Artificial Intelligence–Enabled Electrocardiography–Derived Diastolic Dysfunction Grading and Trajectory in Patients Undergoing Transcatheter Aortic ...

Artificial intelligence (AI)–enabled electrocardiography has emerged as a tool for detecting cardiac dysfunction. The prognostic relevance of AI‐enabled electrocardiography–derived diastolic ...
Frontiers

Predicting histologic grades for pancreatic neuroendocrine tumors by radiologic image-based artificial intelligence: a systematic review and meta-analysis

Accurate detection of the histological grade of pancreatic neuroendocrine tumors (PNETs) is important for patients’ prognoses and treatment. Here, we investigated the performance of radiological image ...
Frontiers

Exploration of the factors influencing hearing disability in older adults of China: a nested case-control study

As two line trends – aging disability and disability aging – continue to emerge, hearing disability is becoming increasingly prevalent among older adults in china. This study aimed to investigate the ...
BMJ

Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort ...

Introduction General practice is integral to the Australian healthcare system. Outcome Health’s POpulation Level Analysis and Reporting (POLAR) database uses de-identified electronic health records to ...
BMJ

Inverse association between cancer and Alzheimer’s disease: results from the Framingham Heart Study

2 Division of Aging, Brigham and Women’s Hospital, Boston, MA, USA 3 Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA, USA 4 Department of Neurology, School of Medicine, ...