Publications by authors named "G K Savova"

Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.

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Article Synopsis
  • People diagnosed with cancer and their caregivers are overwhelmed by a massive amount of complex information due to advancements in cancer diagnostics and treatments.
  • The commentary highlights both the opportunities to improve cancer care and the challenges posed by managing and understanding this large volume of data.
  • It emphasizes the importance of integrating this information effectively into everyday cancer care to benefit patients and their support systems.
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Article Synopsis
  • TRIPOD-LLM is a new set of reporting guidelines specifically designed for the use of Large Language Models (LLMs) in biomedical research, aiming to standardize transparency and quality in healthcare applications.
  • The guidelines include a checklist with 19 main items and 50 subitems, adaptable to various research designs, emphasizing the importance of human oversight and task-specific performance.
  • An interactive website is provided to help researchers easily complete the guidelines and generate submissions, with the intention of continually updating the document as the field evolves.
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Poly[2-(methacryloyloxy)ethyl phosphorylcholine] liposomes (pMPC liposomes) gained attention during the last few years because of their potential use in treating osteoarthritis. pMPC liposomes that serve as boundary lubricants are intended to restore the natural lubrication properties of articular cartilage. For this purpose, it is important that the liposomes remain intact and do not fuse and spread as a lipid film on the cartilage surface.

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Objective: Intracranial aneurysms (IA) and aortic aneurysms (AA) are both abnormal dilations of arteries with familial predisposition and have been proposed to share co-prevalence and pathophysiology. Associations of IA and non-aortic peripheral aneurysms are less well-studied. The goal of the study was to understand the patterns of aortic and peripheral (extracranial) aneurysms in patients with IA, and risk factors associated with the development of these aneurysms.

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