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Central nervous system infections in immunosuppressed patients are rare but potentially lethal complications that require swift diagnoses and intervention. While the differential diagnosis for new lesions on neuroradiological imaging of immunosuppressed patients typically includes infections and neoplasms, image-based heuristics to differentiate the two has been shown to have variable reliability.

The authors describe 2 rare CNS infections in immunocompromised patients with atypical physical and radiological presentations. In the first case, a 59-year-old man, who had recently undergone a renal transplantation, was found to have multifocalNocardia amikacinitoleransabscesses masquerading as neoplasms on diffusion-weighted imaging (DWI); in the second case, a 33-year-old man with suspected recurrent Hodgkin’s lymphoma was found to have a nonpyogenic abscess with cytomegalovirus (CMV) encephalitis.

As per review of the literature, this appears to be the first case of brain abscess caused byN. amikacinitolerans, a recently isolated superbug. Despite confirmation through brain biopsy later on in case 1, the initial radiological appearance was atypical, showing subtle diffusion restriction on DWI. Similarly, the authors present a case of CMV encephalitis that presented as a ring-enhancing lesion, which is extremely rare. Both cases draw attention to the reliability of neuroimaging in differentiating an abscess from a neoplasm.

查尔斯是一个杰出的Frenc布沙尔h physician and scientist of the early 19th century. Despite his humble beginnings, Bouchard was able to achieve meteoric success within the scientific and medical fields, establishing himself as one of the most influential physician-scientists of his time. This was in part due to his superb commitment, as well as the prosperity engendered by the strong influence of his teachers, which can be seen as a testament to the importance of mentorship in medicine. Besides his myriad contributions, Bouchard is most well known for describing the Charcot-Bouchard aneurysm in 1866 alongside his mentor Jean-Martin Charcot, linking them for the first time to intracranial hemorrhage. Bouchard’s thesis entitled “A Study of Some Points in the Pathology of Cerebral Hemorrhage” was regarded by some as the most original and important of all recent works on the subject of cerebral hemorrhage at the time of publication. Sadly, the great relationship Bouchard shared with his mentor Charcot would later deteriorate into perhaps one of the most well-known student-mentor quarrels in the history of medicine. Herein, the authors present a historical recollection of Bouchard’s life, career, and contributions to medicine, as well as the famous controversy with Jean-Martin Charcot.

communi最早的人尝试的证据cating ideas and emotions can be seen on cave walls and ceilings from the prehistoric era. Ingenuity, as well as the development of tools, allowed clay tablets to become the preferred method of documentation, then papyrus and eventually the codex. As civilizations advanced to develop structured systems of writing, knowledge became a power available to only those who were literate. As the search to understand the intricacies of the human brain moved forward, so did the demand for teaching the next generation of physicians. The different methods of distributing information were forced to advance, lest the civilization falls behind. Here, the authors present a historical perspective on the evolution of the mediums of illustration and knowledge dissemination through the lens of neurosurgery. They highlight how the medium of choice transitioned from primitive clay pots to cutting-edge virtual reality technology, aiding in the propagation of medical literature from generation to generation across the centuries.

大数据在他变成一个趋势短语althcare and neurosurgery, becoming a pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a direct consequence of the drastic boom in information technology as well as the growing number of internet-connected devices called the Internet of Things in healthcare. Compared with business, marketing, and other sectors, healthcare applications are lagging due to a lack of technical knowledge among healthcare workers, technological limitations in acquiring and analyzing the data, and improper governance of healthcare big data. Despite these limitations, the medical literature is flooded with big data–related articles, and most of these are filled with abstruse terminologies such as machine learning, artificial intelligence, artificial neural network, and algorithm. Many of the recent articles are restricted to neurosurgical registries, creating a false impression that big data is synonymous with registries. Others advocate that the utilization of big data will be the panacea to all healthcare problems and research in the future. Without a proper understanding of these principles, it becomes easy to get lost without the ability to differentiate hype from reality. To that end, the authors give a brief narrative of big data analysis in neurosurgery and review its applications, limitations, and the challenges it presents for neurosurgeons and healthcare professionals naive to this field. Awareness of these basic concepts will allow neurosurgeons to understand the literature regarding big data, enabling them to make better decisions and deliver personalized care.

大数据在他变成一个趋势短语althcare and neurosurgery, becoming a pervasive and inescapable phrase in everyday life. The upsurge in big data applications is a direct consequence of the drastic boom in information technology as well as the growing number of internet-connected devices called the Internet of Things in healthcare. Compared with business, marketing, and other sectors, healthcare applications are lagging due to a lack of technical knowledge among healthcare workers, technological limitations in acquiring and analyzing the data, and improper governance of healthcare big data. Despite these limitations, the medical literature is flooded with big data–related articles, and most of these are filled with abstruse terminologies such as machine learning, artificial intelligence, artificial neural network, and algorithm. Many of the recent articles are restricted to neurosurgical registries, creating a false impression that big data is synonymous with registries. Others advocate that the utilization of big data will be the panacea to all healthcare problems and research in the future. Without a proper understanding of these principles, it becomes easy to get lost without the ability to differentiate hype from reality. To that end, the authors give a brief narrative of big data analysis in neurosurgery and review its applications, limitations, and the challenges it presents for neurosurgeons and healthcare professionals naive to this field. Awareness of these basic concepts will allow neurosurgeons to understand the literature regarding big data, enabling them to make better decisions and deliver personalized care.