Extended depth-of-field microscopic imaging for intact histological samples via self-calibrated diplane network by Yuezhi He, Xu Yang, Shiwei Ye, Zonghua Wen, Peng Liu, Hui Li, Feng Xiang, Jiuling Liao, Yizhou Tan, Haoyong Ning, Junjie Zou, Guilu He, Long Zeng, Yanwu Guo, Hui Li, Ying Gu, Bo Wang, Wei Zheng

“…In this study, we propose deep-learning-powered, extended-DOF, dark-field reflectance ultraviolet microscopy (DE-DRUM) for rapid and large-DOF imaging of surgically resected tissues. …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation. …”
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Integrated Framework and Technical Path for Multi-level Nested Assessment of Landscape Character by Yuncai WANG, Qizhen DONG

“…By combining multi-scale segmentation and spatial clustering techniques of deep learning, a technical path for multi-level nested landscape character assessment is constructed as a new idea for characterizing the local characteristics of landscape at multiple scales.ConclusionIn the process of developing landscape character assessment systems, there have been numerous methodological systems. …”
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New rectum dose surface mapping methodology to identify rectal subregions associated with toxicities following prostate cancer radiotherapy by Artemis Bouzaki, Dylan Green, Marcel van Herk, Jane Shortall, Tanuj Puri, Sarah Kerns, David Azria, Marrie-Pierre Farcy-Jacquet, Jenny Chang-Claude, Ananya Choudhury, Alison Dunning, Maarten Lambrecht, Barbara Avuzzi, Dirk De Ruysscher, Petra Seibold, Elena Sperk, Christopher Talbot, Ana Vega, Liv Veldeman, Adam Webb, Barry Rosenstein, Catharine M. West, Eliana Gioscio, Tiziana Rancati, Eliana Vasquez Osorio, Alan McWilliam

“…Materials and methods: Data of 1,048 patients with prostate cancer from the REQUITE study were used. Deep learning based automatic segmentations were generated to ensure consistency. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…Generative AI in Medical Writing Generative AI tools or “chatbots” combine the adaptive learning capabilities of deep learning algorithms and natural language processing, resulting in a virtual assistant or aide that is capable of answering queries, following commands, and improving its responses according to the vast data available on the Internet in addition to user responses.3 This has allowed the accomplishment of various complex tasks within seconds that would otherwise require hours of trial and error. …”
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Single-cell transcriptome-wide Mendelian randomization and colocalization reveals immune-mediated regulatory mechanisms and drug targets for COVID-19Research in context by Hui Ying, Xueyan Wu, Xiaojing Jia, Qianqian Yang, Haoyu Liu, Huiling Zhao, Zhihe Chen, Min Xu, Tiange Wang, Mian Li, Zhiyun Zhao, Ruizhi Zheng, Shuangyuan Wang, Hong Lin, Yu Xu, Jieli Lu, Weiqing Wang, Guang Ning, Jie Zheng, Yufang Bi

“…For pathway analyses, we found the putative causal genes were enriched in natural killer (NK) recruiting cells but de-enriched in NK cells. Using a deep learning model, we found 107 (81%) of the putative causal genes (41 novel genes) were predicted to interact with SARS-COV-2 proteins. …”
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Incremental Instance-Oriented 3D Semantic Mapping via RGB-D Cameras for Unknown Indoor Scene by Wei Li, Junhua Gu, Benwen Chen, Jungong Han

“…To ensure an efficient reconstruction of 3D objects with semantic and instance IDs, the input RGB images are operated by a real-time deep-learned object detector. To obtain accurate point cloud cluster, we adopt the Gaussian mixture model as an optimizer after processing 2D to 3D projection. …”
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