The resolution of the Expert Council ”Possibilities of risk modification in patients with oncological diseases of the head and neck organs” by A. V. Rozanov, A. P. Polyakov, D. G. Zaridze, M. A. Kropotov, Yu. V. Alymov, S. I. Kutukova, E. V. Gushanskaya

“…Quitting smoking benefits even after a cancer diagnosis regardless of location and stage of the disease. Treatment plans should include smoking cessation recommendations combining motivational strategies and behavioral therapy, pharmacotherapy based on evidence-based medicine with follow-up and re-treatment as needed. …”
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Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions by Fei Han, Xiao Huang, Xin Wang, Yong‐feng Chen, Chuang Lu, Shasha Li, Lu Lu, Da‐Wei Zhang

“…Additionally, it evaluates the combined efficacy of diverse algorithms and devices through practical cases and details of future research frontiers, aiming to inform researchers of current landscapes and guide subsequent investigations.…”
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Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area by Abdelmajid Bousselham, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani

“…Brain tumor segmentation is the process of separating the tumor from normal brain tissues; in clinical routine, it provides useful information for diagnosis and treatment planning. However, it is still a challenging task due to the irregular form and confusing boundaries of tumors. …”
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Atten‐SEVNETR for volumetric segmentation of glioblastoma and interactive refinement to limit over‐segmentation by Swagata Kundu, Dimitrios Toumpanakis, Johan Wikstrom, Robin Strand, Ashis Kumar Dhara

“…Abstract Precise localization and volumetric segmentation of glioblastoma before and after surgery are crucial for various clinical purposes, including post‐surgery treatment planning, monitoring tumour recurrence, and creating radiotherapy maps. …”
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A computer-based method for the automatic identification of the dimensional features of human cervical vertebrae by Nicola Cappetti, Luca Di Angelo, Carlotta Fontana, Antonio Marzola

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A Comprehensive Survey of Super-Resolution Remote Sensing Image Datasets: Evolution, Challenges, and Future Directions by Anh Vu-Duc, Khang Nguyen-Vi, Bao Bui-Quoc, Nidal Kamel

“…Despite significant progress in SR algorithms—particularly those driven by deep learning—the supporting datasets have received comparatively little attention. …”
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The role of artificial intelligence in promoting health and developing preventive strategies for diabetes by Ameneh Marzban

“…For example, AI-driven mobile applications can offer personalized dietary and exercise plans, track blood glucose levels, and send reminders for medication adherence. …”
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ПРОЕКТ “ARIA”: ШЛЯХИ НАДАННЯ МЕДИЧНОЇ ДОПОМОГИ ПРИ АЛЕРГІЧНОМУ РИНІТІ (2019 РІК) – УКРАЇНА by І. Гогунська, Д. Заболотна, С. Зайков, И. Кайдашев, Т. Уманець, В. Чоп’як, Л. Яшина, С. Бахерт, П.В. Хеллінгс, О. Пфаар, Х.Дж. Шунеманн, Д. Воллес, А. Бедбрук, В. Чарлевськи, Ж. Буске

“…These recommendations were used to refine the MASK algorithm for AR treatment proposed by a consensus group. …”
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Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology by Yihao Hou, Yihao Hou, Christoph Bert, Christoph Bert, Christoph Bert, Ahmed Gomaa, Ahmed Gomaa, Ahmed Gomaa, Godehard Lahmer, Godehard Lahmer, Godehard Lahmer, Daniel Höfler, Daniel Höfler, Daniel Höfler, Thomas Weissmann, Thomas Weissmann, Thomas Weissmann, Raphaela Voigt, Raphaela Voigt, Raphaela Voigt, Philipp Schubert, Philipp Schubert, Philipp Schubert, Charlotte Schmitter, Charlotte Schmitter, Charlotte Schmitter, Alina Depardon, Alina Depardon, Alina Depardon, Sabine Semrau, Sabine Semrau, Sabine Semrau, Andreas Maier, Rainer Fietkau, Rainer Fietkau, Rainer Fietkau, Yixing Huang, Yixing Huang, Florian Putz, Florian Putz, Florian Putz

“…The fine-tuned LLM successfully learns radiation oncology-specific information and generates physician letters in an institution-specific style. …”
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Study on the mechanisms associating community outdoor public spaces with elderly behavior by Lei Wang, Wenqi He, Shan Wu, Bo Zhang, Xiaorui Zhang, Hu Yin

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A hybrid framework for colorectal cancer detection and U-Net segmentation using polynetDWTCADx by Akella S Narasimha Raju, K Venkatesh, Makineedi Rajababu, Ranjith Kumar Gatla, Marwa M. Eid, Enas Ali, Nataliia Titova, Ahmed B. Abou Sharaf

“…When these techniques are added to PolynetDWTCADx, they give doctors detailed visual information that is needed for diagnosis and planning treatment. …”
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Automated Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Deep Learning Methods and Sequential Data by Chien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, Yam Meng Chan, Vinithasree Subbhuraam, Lai Gwen Chan, U. Rajendra Acharya

“…Accurate prediction of PSAMO helps clinicians make early intervention care plans and potentially reduce the incidence of PSAMO.…”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Participant feedback Patients and their supporters reported inadequate planning and support following discharge from hospital. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“…Ensuring AI algorithms are unbiased, and fair is a challenge to avoid disparities in healthcare outcomes. …”
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Rapid Automated Mapping of Clouds on Titan With Instance Segmentation by Zachary Yahn, Douglas M. Trent, Ethan Duncan, Benoît Seignovert, John Santerre, Conor A. Nixon

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Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach by Yu Wang, Mudassar Ali, Tariq Mahmood, Amjad Rehman, Tanzila Saba

“…Current target detection algorithms have limited applications and low accuracy. …”
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Optimization of administration and monitoring of prevention of venous thrombosis and inflammatory wound complications. by Ya. S. Bereznytskyi, L. N. Ksikevich

“…The aim of the work is the development, of on the principles of information technology process of selecting algorithms for the justified administration of preventive measures for the prevention of thrombosis and wound complications in surgical patients. …”
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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

“…The three major research clusters include traffic flow state, traffic safety, and route planning. The optimal investment proportion for floating cars is determined to be 3%–8%, and the sampling frequency significantly affects the accuracy of vehicle speed and heading angle information, while having a weaker impact on positional parameters. …”
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Crop yield prediction in agriculture: A comprehensive review of machine learning and deep learning approaches, with insights for future research and sustainability by Md. Abu Jabed, Masrah Azrifah Azmi Murad

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Rationale for the Choice of a Positioning System for Mobile Agricultural Robot Movement Controlling by A. V. Teterev

“…A correctly selected positioning system for controlling the mobile robotic means movement ensures high positioning accuracy of the robotic platform in the garden, allows to automate precise operations in the garden and systematize route planning algorithms.(Research purpose) To substantiate the rational choice of a positioning system for controlling the mobile robotic device movement.…”
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