Object: Technological innovation within health care may be defined as the introduction of a new technology that initiates a change in clinical practice. Neurosurgery is a particularly technology-intensive surgical discipline, and new technologies have preceded many of the major advances in operative neurosurgical techniques. The aim of the present study was to quantitatively evaluate technological innovation in neurosurgery using patents and peer-reviewed publications as metrics of technology development and clinical translation, respectively.
Methods: The authors searched a patent database for articles published between 1960 and 2010 using the Boolean search term "neurosurgeon OR neurosurgical OR neurosurgery." The top 50 performing patent codes were then grouped into technology clusters. Patent and publication growth curves were then generated for these technology clusters. A top-performing technology cluster was then selected as an exemplar for a more detailed analysis of individual patents.
Results: In all, 11,672 patents and 208,203 publications related to neurosurgery were identified. The top-performing technology clusters during these 50 years were image-guidance devices, clinical neurophysiology devices, neuromodulation devices, operating microscopes, and endoscopes. In relation to image-guidance and neuromodulation devices, the authors found a highly correlated rapid rise in the numbers of patents and publications, which suggests that these are areas of technology expansion. An in-depth analysis of neuromodulation-device patents revealed that the majority of well-performing patents were related to deep brain stimulation.
Conclusions: Patent and publication data may be used to quantitatively evaluate technological innovation in neurosurgery.
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http://dx.doi.org/10.3171/2014.12.JNS141422 | DOI Listing |
Health Sci Rep
January 2025
Department of Cardiac, Thoracic and Vascular Surgery National University Health System Singapore Singapore.
Background And Aims: Neuro-ischemic ulcers (NIU) present a substantial clinical and economic burden on the healthcare systems. This study aims to evaluate their healing rate, associated healthcare resource utilization, and prognostic factors influencing healing.
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Food Chem X
January 2025
Division of Biochemistry, ICAR-Indian Agricultural Research Institute (IARI), New Delhi 110012, India.
The accurate quantification of glycemic index (GI) remains crucial for diabetes management, yet current methodologies are constrained by resource intensiveness and methodological limitations. digestion models face challenges in replicating the dynamic conditions of the human gastrointestinal tract, such as enzyme variability and multi-time point analysis, leading to suboptimal predictive accuracy. This review proposes an integrated technological framework combining non-enzymatic electrochemical sensing with artificial intelligence to revolutionize GI assessment.
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January 2025
Center for Preclinical Surgical & Interventional Research, The Texas Heart Institute, Houston, TX 77030, USA.
The evolution of left ventricular assist devices (LVADs) from large, pulsatile systems to compact, continuous-flow pumps has significantly improved implantation outcomes and patient mobility. Minimally invasive surgical techniques have emerged that offer reduced morbidity and enhanced recovery for LVAD recipients. Innovations in wireless power transfer technologies aim to mitigate driveline-related complications, enhancing patient safety and quality of life.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Development Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
Village development in Indonesia has become the national development agenda prioritized in conjunction with the enactment of the Village Law in 2014. Village development through smart village is considered relevant to the current era's progress and rapid technological advancements. Smart village is often defined as the concept of village development based on the utilization of information and communication technology (ICT).
View Article and Find Full Text PDFPlant J
January 2025
Center for Legume Plant Genetics and Systems Biology, Oil Crops Research Institute, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Bacterial wilt caused by Ralstonia solanacearum is a devastating disease affecting a great many crops including peanut. The pathogen damages plants via secreting type Ш effector proteins (T3Es) into hosts for pathogenicity. Here, we characterized RipAU was among the most toxic effectors as ΔRipAU completely lost its pathogenicity to peanuts.
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