A Combined Computational and Experimental Study on Nanoparticle Transport and Partitioning in the Human Trachea and Upper Bronchial Airways by Jiawei Ma, Wei-Chung Su, Yi Chen, Yidan Shang, Jingliang Dong, Jiyuan Tu, Lin Tian

“…With rapid advances in medical imaging and computational capacities, sophisticated human tracheobronchial trees that include the 6th, 7th or 15th generation have been increasingly described in the literature. …”
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Analytical simulations for rate type nanomaterial stretching flow with dual convection by Manzoor Ahmad, Sami Ullah Khan, Syeda Quratulain, Adnan, M. Waqas, Hakim AL Garalleh, Nurnadiah Zamri, Dilsora Abduvalieva, Manish Gupta

“…Ongoing continuous research in nanofluid suggested different applications of nanomaterials in catalysis, aerospace engineering, oil industry, various optical devices, medical imaging etc. The objective for exploring current investigation is to disclose the thermal impact of Oldroyd-B nanofluid comprising the buoyancy driven flow. …”
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Review Analysis of the Association between the Prevalence of Activated Brown Adipose Tissue and Outdoor Temperature by Yung-Cheng Huang, Chien-Chin Hsu, Pei-Wen Wang, Yen-Hsiang Chang, Tai-Been Chen, Bi-Fang Lee, Nan-Tsing Chiu

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Comprehensive study for radiation shielding features for Bi2O3–B2O3–ZnO composite using computational radioanalytical Phy-X/PSD, MCNP5, and SRIM software by Y. S. Alajerami, M. H. A. Mhareb, M. I. Sayyed, M. Kh. Hamad, F. Kodeh, M. Rashad, M. Mitwalli

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The role of intrapartum ultrasound combined with free position delivery in the management of abnormal fetal positions during labor by Shanshan Sun, Wenwen Liang, Fen Sun, Meili Yu, Liting Wu, Ting Xu, Cui Zhang, Wenfang Zhuang, Jia Li

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Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification by Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi, Ayman Mohamed Mostafa, Nasser Alshammari, Majed Abdullah Alrowaily, Hosameldeen Shabana, Mohamed Ezz

“…The outcomes of this research highlight the synergistic benefit of ensembles in DL applications for medical imaging and suggest a promising approach for the early detection and diagnosis of cardiac diseases, potentially improving clinical outcomes and patient care.…”
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Feasibility Study of an Alcohol-Based Liquid Scintillation Detector and Its Application by Byoung Chan Kim, Ji Young Choi, Kyung Kwang Joo, Seon Yeong Park, Ye Sung Song, Hee Jin Woo

“…In the near future, the new alcohol-based liquid scintillator could be used for particle detector or medical imaging applications.…”
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SLC7A11 is a potential therapeutic target and prognostic biomarker correlated with immune cell infiltration in cervical cancer by Mutangala Muloye Guy, Tingting Bian, Longyun Sun, Yiping Hao, Xinlin Jiao, Wenjing Zhang, Teng Zhang, Baoxia Cui

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Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy by Yang Qiu, Honghui Li, Kun Yu, Jiali Chen, Li Qi, Yinghua Zhao, Liming Nie

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Gross and applied anatomy pedagogical approaches in occupational therapy education: protocol for a scoping review by Emily S Ho, Anne Agur, Andrea Duncan, Erica Dove, Kelly Hennessy, Athena Kirou-Mauro, Lorna Aitkens

“…To address this limitation, applied anatomy instructors have developed innovative novel approaches to teach gross and applied anatomy to student occupational therapists, including live/surface anatomy, medical imaging, and more recently, computer-aided instruction. …”
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PBVit: A Patch-Based Vision Transformer for Enhanced Brain Tumor Detection by Pratikkumar Chauhan, Munindra Lunagaria, Deepak Kumar Verma, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma, Ahmad Raza Khan

“…The promising results demonstrate that PBVit can play a important role in facilitating early-stage diagnosis, reducing unnecessary biopsies, and ultimately enhancing patient care, while also showcasing the potential of transformer-based architectures in medical imaging.…”
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Super High Contrast USPIO-Enhanced Cerebrovascular Angiography Using Ultrashort Time-to-Echo MRI by Liam Timms, Tianyi Zhou, Ju Qiao, Codi Gharagouzloo, Vishala Mishra, Rita Maria Lahoud, John W. Chen, Mukesh Harisinghani, Srinivas Sridhar

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Assessing the inflammation in pediatric MOGAD: Significance of CSF HMGB1 and related biomarkers by Xin Wang, Ruibin Zhao, Jiayu Fan, Chong Liu, Li Zhang, Huafang Yang, Weiyi Wang

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Revealing speckle obscured living human retinal cells with artificial intelligence assisted adaptive optics optical coherence tomography by Vineeta Das, Furu Zhang, Andrew J. Bower, Joanne Li, Tao Liu, Nancy Aguilera, Bruno Alvisio, Zhuolin Liu, Daniel X. Hammer, Johnny Tam

“…Abstract Background In vivo imaging of the human retina using adaptive optics optical coherence tomography (AO-OCT) has transformed medical imaging by enabling visualization of 3D retinal structures at cellular-scale resolution, including the retinal pigment epithelial (RPE) cells, which are essential for maintaining visual function. …”
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Evaluation of Patients’ Received Doses in Chest CT Scan Protocols for COVID-19 Diagnosis by Sadegh Shurche, Tinoosh Almasi, Maryam Tima, Nima Rostampour

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Entrepreneurship in Medical Education: Evaluation of the Entrepreneurship in Healthcare Seminar Series by Amanda Mac, Hayley McKee, Michael Balas, Aazad Abbas, Aida Ahrari, Pawandeep Sandhu, Dante Morra, Sarah McClennan, Alison Freeland

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Development of Isocratic RP-HPLC Method for Separation and Quantification of L-Citrulline and L-Arginine in Watermelons by Rasdin Ridwan, Hairil Rashmizal Abdul Razak, Mohd Ilham Adenan, Wan Mazlina Md Saad

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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

“…Radiology report summarization plays a critical role in medical imaging, addressing the growing need for concise and accessible interpretation of complex radiology findings. …”
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Acute kidney injury in patients with COVID-19 in the intensive care unit: evaluation of risk factors and mortality in a national cohort by Pål Klepstad, Eirik Aasen Aukland, Stein Magnus Aukland, Fatemeh Zamanzad Ghavidel, Eirik Alnes Buanes

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A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

“…This research contributes to the ongoing efforts to integrate deep learning into medical imaging workflows for more effective and reliable diagnostic outcomes.…”
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