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Accuracy of Current Large Language Models and The Retrieval Augmented Generation Model in Determining Dietary Principles in Chronic Kidney Disease.
J Ren Nutr
January 2025
Assistant professor, Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Türkiye.
Objective: Large Language Models (LLMs) have emerged as powerful tools with significant potential for quickly accessing information in the nutrition and health, as in many fields. Retrieval augmented generation (RAG) has been included among artificial intelligence (AI) powered chatbot structures as a framework developed to increase the accuracy and ability of LLMs. This study aimed to evaluate the accuracy of LLMs (GPT4, Gemini, and Llama) and RAG in determining dietary principles in chronic kidney disease.
View Article and Find Full Text PDFAnalysis of quantitative OCT and SS-OCTA metrics three months after initiation of intravitreal faricimab for treatment-recalcitrant neovascular AMD.
Eye (Lond)
January 2025
Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Purpose: To utilize optical coherence tomography (OCT) and SS-OCT angiography (SS-OCTA) for quantifying morphological changes seen in eyes with recalcitrant neovascular age-related macular degeneration (nAMD) transitioned to intravitreal faricimab injections during the manufacturer's recommended induction phase of treatment.
Methods: Fifty-four treatment-recalcitrant patients (60 eyes) were recruited. OCT and SS-OCTA images were obtained at 0 and 3 months.
LDPC-cat codes for low-overhead quantum computing in 2D.
Nat Commun
January 2025
Université de Lorraine, CNRS, Inria, LORIA, F-54000, Nancy, France.
The main obstacle to large scale quantum computing are the errors present in every physical qubit realization. Correcting these errors requires a large number of additional qubits. Two main avenues to reduce this overhead are (i) low-density parity check (LDPC) codes requiring very few additional qubits to correct errors (ii) cat qubits where bit-flip errors are exponentially suppressed by design.
View Article and Find Full Text PDFOn the pursuit of reproducibility: the importance of large sample sizes in psychoimmunology.
Transl Psychiatry
January 2025
Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Peripheral inflammatory markers (PIMs), such as C-reactive protein (CRP) or white blood cell count (WBC), have been associated with depression severity in meta-analyses and large cohort studies. However, in typically-sized psychoimmunology studies (N < 200) that explore associations between PIMs and neurobiological/psychosocial constructs related to depression and studies that examine less-studied PIMs (e.g.
View Article and Find Full Text PDFQuantitative and Visual Benefits of Data-Driven Motion Correction on Oncologic PET/CT: A Prospective Cross-sectional Study.
Acad Radiol
January 2025
Department of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, St. Louis, MO 63110 (S.I., M.A.T., M.I., C.S., R.L., A.H., R.L.W., T.J.F.). Electronic address:
Rationale And Objective: Conventional positron emission tomography (PET) respiratory gating utilizes a fraction of acquired PET counts (i.e., optimal gate [OG]), whereas elastic motion correction with deblurring (EMCD) utilizes all PET counts to reconstruct motion-corrected images without increasing image noise.
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