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Blockchain-enabled digital twin system for brain stroke prediction.
Brain Inform
January 2025
Department of Computing, Glasgow Caledonian University, Glasgow, G4 0BA, Scotland.
A digital twin is a virtual model of a real-world system that updates in real-time. In healthcare, digital twins are gaining popularity for monitoring activities like diet, physical activity, and sleep. However, their application in predicting serious conditions such as heart attacks, brain strokes and cancers remains under investigation, with current research showing limited accuracy in such predictions.
View Article and Find Full Text PDFKnowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey.
Brain Spine
December 2024
Section of Neurosurgery, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Article Synopsis
- AI applications in healthcare, especially neurosurgery, are rapidly increasing, highlighting the need for understanding AI fundamentals to inform decisions on its future use.
- A global survey of 250 neurosurgeons revealed limited knowledge of AI concepts, with only a few respondents accurately defining key terms like Machine Learning and Deep Learning.
- Despite low familiarity with AI basics, a strong interest and positive attitude towards integrating AI into neurosurgery were noted, with barriers such as lack of funding and infrastructure identified as key challenges.
Corrigendum to 'Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures'. [Arthroplasty Today Volume 25, February 2024, 101308].
Arthroplast Today
December 2024
Florida Orthopaedic Institute, Gainesville, FL, USA.
[This corrects the article DOI: 10.1016/j.artd.
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