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A Bibliometric Analysis of the Trends and Impact of Neuromarketing Research: Peering Into the Consumer Brain.
Cureus
September 2024
Department of Commerce, Prajyoti Niketan College, Pudukad, Thrissur, IND.
Neuromarketing is the application of neuroscience and cognitive science to understand and influence consumer behavior and the different underlying decision-making processes. This neuromarketing bibliometric study uses Scopus for bibliographic data and Biblioshiny and Citespace for the overall analysis. Annual scientific production is considered to outline some general lines of critical trends in volume over time.
View Article and Find Full Text PDFAdvancements in Tuberculosis Diagnostics: A Comprehensive Review of the Critical Role and Future Prospects of Xpert MTB/RIF Ultra Technology.
Cureus
March 2024
Orthopaedics, ACS Medical College and Hospital, Dr. MGR Educational and Research Institute, Chennai, IND.
Tuberculosis remains a persistent global health challenge, demanding swift and accurate diagnostic methods for effective treatment. The emergence of the Xpert MTB/RIF Ultra system marks a significant milestone in combating tuberculosis, streamlining the identification of , and advancing our pursuit of eradicating the disease. Delving into the therapeutic landscape of tuberculosis and rifampicin resistance, this scientific narrative review offers a comprehensive exploration.
View Article and Find Full Text PDFPeering into the future: Eye movements predict neural repetition effects during episodic simulation.
Neuropsychologia
May 2024
Harvard University, Department of Psychology, Cambridge, MA, USA.
Imagining future scenarios involves recombining different elements of past experiences into a coherent event, a process broadly supported by the brain's default network. Prior work suggests that distinct brain regions may contribute to the inclusion of different simulation features. Here we examine how activity in these brain regions relates to the vividness of future simulations.
View Article and Find Full Text PDFRedefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging.
Diagnostics (Basel)
August 2023
Canberra Health Services, Australian Capital Territory 2605, Australia.
This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape. It traces the evolution of radiology, from the initial discovery of X-rays to the application of machine learning and deep learning in modern medical image analysis. The primary focus of this review is to shed light on AI applications in radiology, elucidating their seminal roles in image segmentation, computer-aided diagnosis, predictive analytics, and workflow optimisation.
View Article and Find Full Text PDFPeering Into the Future: A First Look at the CBME Transition to Practice Stage in Diagnostic Radiology.
Acad Radiol
October 2023
Department of Diagnostic Radiology, Kingston Health Sciences Centre, Kingston, ON K7L 2V7, Canada (L.W., A.C., C.R., B.K.); Queen's University, Faculty of Health Sciences, Kingston, ON, Canada (L.W., A.C., C.R., B.K.). Electronic address:
Rationale And Objectives: Queen's University (Kingston, ON, Canada) adopted a competency-based medical education (CBME) curriculum for Diagnostic Radiology residency training in an accelerated manner in 2017, with the curriculum comprised of four stages of training. This article focuses on the final stage (Transition to Practice), during which assessment methods of the new national curriculum (implemented in July 2022) were piloted. This study aims to highlight the challenges and opportunities associated with the implementation of CBME in Diagnostic Radiology training and specific considerations for programs undergoing this curricular transition.
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