Real-time diagnosis of multi-category skin diseases based on IR-VGG by Ling TAN, Shanshan RONG, Jingming XIA, Sarker SAJIB, Wenjie MA

“…Malignant skin lesions have a very high cure rate in the early stage.In recent years, dermatological diagnosis research based on deep learning has been continuously promoted, with high diagnostic accuracy.However, computational resource consumption is huge and it relies on large computing equipment in hospitals.In order to realize rapid and accurate diagnosis of skin diseases on Internet of things (IoT) mobile devices, a real-time diagnosis system of multiple categories of skin diseases based on inverted residual visual geometry group (IR-VGG) was proposed.The contour detection algorithm was used to segment the lesion area of skin image.The convolutional block of the first layer of VGG16 was replaced with reverse residual block to reduce the network parameter weight and memory overhead.The original image and the segmented lesion image was inputed into IR-VGG network, and the dermatological diagnosis results after global and local feature extraction were outputed.The experimental results show that the IR-VGG network structure can achieve 94.71% and 85.28% accuracy in Skindata-1 and Skindata-2 skin diseases data sets respectively, and can effectively reduce complexity, making it easier for the diagnostic system to make real-time skin diseases diagnosis on IoT mobile devices.…”
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Mutually Orthogonal Golay Complementary Sequences in Synthetic Aperture Imaging Systems by Ihor TROTS

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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

“…Future research should explore genetic, lifestyle, and environmental factors to improve diagnostic accuracy.…”
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Modified PISAPED Criteria in Combination with Ventilation Scintigraphic Finding for Predicting Acute Pulmonary Embolism by Naoyuki Watanabe, Jure Fettich, Nurie Küçük, Otakar Kraft, Fernando Mut, Partha Choudhury, Surendra Sharma, Keigo Endo, Maurizio Dondi

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Allergic rhinitis and the phenomenon of entopy by A. V. Klimov, O. V. Kalyughin, V. V. Klimov, V. S. Sviridova

“…The  review focuses on the pathogenesis, diagnostic algorithm, and the choice of treatment strategies in local allergic rhinitis.…”
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Steatotic liver disease: radiological and ultrasound point of view by Alexey V. Borsukov, Daria Yu. Shestakova

“…All patients were examined with a single diagnostic algorithm consisting of 5 stages: clinical and laboratory stage, physical examination, ultrasound, dual-energy X-ray absorptiometry in the “Whole Body” mode, retrospective analysis of MDCT and/or MRI studies. …”
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Enhanced Classification of Ear Disease Images Using Metaheuristic Feature Selection by Murat Ekinci, Furkancan Demircan, Zafer Cömert, Eyup Gedikli

“…The findings of this study provide a basis for further research to enhance the diagnostic precision of machine learning-based techniques in medical imaging.…”
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Evaluation of MAGLUMI syphilis test for accurate detection of syphilis antibodies in blood donors and suspected syphilis cases by Wei Fang, Yun Zhang, Min Shi, Yuqin Liao, Lanhuan Peng, Hailin Zhong, Jun Yin, Taoran Mo, Heng Li, Zhonggang Fang

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Clinical and imaging diagnosis of pediatric testicular microlithiasis: a physician’s dilemma by Ghada Habachi, Ghada Habachi, Ghada Habachi, Yosra Kerkeni, Yosra Kerkeni, Jouini Riadh, Jouini Riadh

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AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…The proposed system achieves a diagnostic accuracy of 92.5 %, precision of 92.7 %, recall of 99.23 %, and F1-score of 95.6 %, outperforming traditional diagnostic methodologies. …”
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The main approaches to the diagnosis and treatment of osteoporosis by N. V. Toroptsova, A. O. Sorokina, O. V. Dobrovolskaya

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THE MECHANISM OF ORGANIZATIONAL CULTURE TRANSFORMATION IN INNOVATION COMPETITIVE ADVANTAGE FOR INTERNATIONAL BUSINESS STRUCTURES by Lidia S. Leontieva, Svetlana M. Maksimova, Olga V. Sitnik

“…Throughout article authors give algorithm of organizational culture diagnostic testing of the Hyundai Glovis Russia company, features and difficulties of her cross-cultural environment. …”
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DESIGNING OF INDIVIDUAL EDUCATIONAL TRAJECTORIES IN THE MASTER DEGREE PROGRAM FOR TEACHERS by Irina Igropulo, Alina Dunaenko

“…The characteristic of the algorithm for designing an individual educational trajectory is presented, including the diagnostic, target, content, technological, evaluation components. …”
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An Integrated Mycobacterial CT Imaging Dataset with Multispecies Information by Zhilin Han, Yuyang Zhang, Wenlong Ding, Xiaoting Zhao, Bingzhen Jia, Tingting Liu, Liang Wan, Zhiheng Xing

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Epileptic trances – focal motor epileptic seizures: past, present and a little bit of future by V. A. Chadaev, K. Yu. Mukhin, L. G. Selezneva, S. R. Nurmukhametova, A. A. Alikhanov, O. V. Mendelevich, I. G. Vasilyev, L. Yu. Glukhova, M. S. Nikitina, O. A. Pylaeva

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Diagnosis and treatment outcomes of primary lymphoma of the thyroid gland by Omar Hamdy, Gehad A. Saleh, Ramadan Ayman Selim, Radwa M. Abdelsattar, Maryam M. Dawood, Youssef Y. Abbas, Rana Abdo, Yousef M. Mansour, Jana M. AbuZahra, Mohamed Elsayed, Ahmed E. Eladl, Shaimaa El-Ashwah, Mohamed Ezat

“…This study underscores the importance of multimodal diagnostic and therapeutic strategies while highlighting the need for further research into this rare malignancy.…”
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THE IMPORTANCE OF TARGETED NEXT-GENERATION SEQUENCING USAGE IN CYTOGENETICALLY NORMAL MYELOID MALIGNANCIES by Emine Atli, Rasime Kalkan, Cisem Mail, Damla Eker, Ufuk Demirci, Selma Demir, Sinem Yalcintepe, Hakki Onur Kirkizlar, Engin Atli, Hakan Gurkan, Ahmet Muzaffer Demir

“…We highlighted the possible diagnostic algorithm for cytogenetically normal cases. …”
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Rapid detection of antibiotic resistance in Burkholderia pseudomallei using MALDI-TOF mass spectrometry by Nut Nithimongkolchai, Yothin Hinwan, Kanwara Trisakul, Lumyai Wonglakorn, Ploenchan Chetchotisakd, Auttawit Sirichoat, Arnone Nithichanon, Sorujsiri Chareonsudjai, Pisit Chareonsudjai, Jody Phelan, Taane G. Clark, Kiatichai Faksri

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Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

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MICROCIRCULATORY DISORDERS IN PATIENTS WITH ACUTE CORONARY SYNDROME by Sergey S. Krutitsky, Georgiy P. Plotnikov, Irina N. Sizova, Damir M. Galimzyanov, Dmitriy L. Shukevich, Evgeniy V. Grigoriev

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