A model of an information-and-consultative system (ICS) designed for practitioners and students in the field of pulmonology at the Research Institute for Pulmonology of the Russian Academy of Medical Sciences (project director--A.G. Chuchalin) is outlined in the paper. The purpose was to construct an ICS structure that would be adapted to continuously increasing and changing knowledge in the field of pulmonology and that could be used to interpret such knowledge from the standpoint of medical proof.
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Jpn J Radiol
January 2025
Department of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Hereby inviting young rising stars in chest radiology in Japan for contributing what they are working currently, we would like to show the potentials and directions of the near future research trends in the research field. I will provide a reflection on my own research topics. At the end, we also would like to discuss on how to choose the themes and topics of research: What to do or not to do? We strongly believe it will stimulate and help investigators in the field.
View Article and Find Full Text PDFAllergol Int
January 2025
Division of Respiratory Medicine, Department of Internal Medicine, Nihon University School of Medicine, Tokyo, Japan.
ACS Nano
January 2025
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.
Inhalation delivery, offering a direct pathway for administering drugs to the lungs in the form of dry powders or aerosols, stands out as an optimal approach for the localized treatment of pulmonary diseases. However, the intricate anatomical architecture of the lung often poses challenges in maintaining effective drug concentrations within the lungs over extended periods. This highlights the pressing need to develop rational inhalable drug delivery systems that can improve treatment outcomes for respiratory diseases.
View Article and Find Full Text PDFIntroduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
National Regional Traditional Chinese Medicine (Lung Disease) Diagnosis and Treatment Center,the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China the First Clinical Medical School, Henan University of Chinese Medicine Zhengzhou 450000, China.
This study systematically retrieved the clinical studies in the treatment of idiopathic pulmonary fibrosis(IPF) with traditional Chinese medicine(TCM) and employed evidence mapping to summarize the overall research status and deficiencies of TCM in treating IPF. CNKI, VIP, SinoMed, Wanfang, PubMed, Web of Science, Cochrane Library, and EMbase were searched for the relevant studies published from inception to February 20, 2024. The distribution characteristics of the evidence were analyzed and presented through charts combined with words.
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