An Automatic Machine Vision-Guided System for the Propagation of Potato Test-Tube Plantlets by Xu Shengyong, Peng Biye, Wu Haiyang, Li Fushuai, Cai Xingkui, Duan Hongbing

“…An automatic machine vision-guided system for the propagation of PTTPs was developed and tested. In this paper, the workflow of the visual system was designed and the image acquisition device was made. …”
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Feasibility and accuracy evaluation of novel 2D instant navigation system on spinal surgery - a preclinical study by Wen Xia, Zhengyang Wu, Rui Zuo, Jiang Wu, Jing Ling, Linfeng Mo, Zegang Shi, Yue Zhou, Changqing Li, Wenjie Zheng, Chao Zhang

“…Results During the experimental process, an excellent correlation between the virtual fluoroscopic images and actual fluoroscopic images was prominently observed. …”
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Protocol for estimating the contrast transfer function and absolute tilt angle offset for cryo-electron tomography using CTFMeasure by Ranhao Zhang, Yuan Shen, Xueming Li

“…We then detail procedures for visualizing the power spectra and analyzing the output files.For complete details on the use and execution of this protocol, please refer to Zhang et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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Simple and accessible methods for quantifying isolated mucins for further evaluation by Hannah J. McIntire-Ray, Elex S. Rose, Stefanie Krick, Jarrod W. Barnes

“…These methods support a wide range of experimental applications looking to assess mucins, thereby contributing to the broader field of mucin studies and advancing our understanding of the implications of mucins in health and disease. • A streamlined, one-step isopycnic ultracentrifugation to isolate MUC5B from human saliva • A Mucin Bradford assay that is modified from existing Bradford assay techniques to better quantitate mucin for mucin studies • An agarose-polyacrylamide gel electrophoresis method used to visualize and confirm the isolation and quantitation of mucin…”
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User Comment-Guided Cross-Modal Attention for Interpretable Multimodal Fake News Detection by Zepu Yi, Chenxu Tang, Songfeng Lu

“…Specifically, we introduce multi-head cross-modal attention heatmaps and comment importance visualizations to provide interpretability support for the model’s predictions, revealing key semantic areas and user perspectives that influence judgments. …”
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AI4Design: A generative AI-based system to improve creativity in design–A field evaluation by Luca Abrusci, Karma Dabaghi, Stefano D'Urso, Filippo Sciarrone

“…A subsequent evaluation of their work indicated improvements in conceptual clarity and visual outputs that highlighted a measurable increase in creativity, supporting the efficacy of both the system and its foundational learning model, which will be confirmed in the future through a large-scale experimental study. …”
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Integrating predictive coding and a user-centric interface for enhanced auditing and quality in cancer registry data by Hong-Jie Dai, Chien-Chang Chen, Tatheer Hussain Mir, Ting-Yu Wang, Chen-Kai Wang, Ya-Chen Chang, Shu-Jung Yu, Yi-Wen Shen, Cheng-Jiun Huang, Chia-Hsuan Tsai, Ching-Yun Wang, Hsiao-Jou Chen, Pei-Shan Weng, You-Xiang Lin, Sheng-Wei Chen, Ming-Ju Tsai, Shian-Fei Juang, Su-Ying Wu, Wen-Tsung Tsai, Ming-Yii Huang, Chih-Jen Huang, Chih-Jen Yang, Ping-Zun Liu, Chiao-Wen Huang, Chi-Yen Huang, William Yu Chung Wang, Inn-Wen Chong, Yi-Hsin Yang

“…Our study highlights advancements in cancer registry coding practices, demonstrating that the proposed hybrid weighted neural-symbolic cancer registry system is reliable and efficient for assisting cancer registrars in the coding workflow and contributing to clinical outcomes.…”
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Accurate classification of benign and malignant breast tumors in ultrasound imaging with an enhanced deep learning model by Baoqin Liu, Shouyao Liu, Zijian Cao, Junning Zhang, Xiaoqi Pu, Junjie Yu

“…In addition, the model’s attention area was analyzed by heat map visualization to evaluate its clinical interpretability.ResultsThe experimental results show that RcdNet outperforms other mainstream deep learning models, including ResNet, MobileNet, and ResNeXt, across all key evaluation metrics. …”
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KRSA: An R package and R Shiny web application for an end-to-end upstream kinase analysis of kinome array data. by Erica A K DePasquale, Khaled Alganem, Eduard Bentea, Nawshaba Nawreen, Jennifer L McGuire, Tushar Tomar, Faris Naji, Riet Hilhorst, Jaroslaw Meller, Robert E McCullumsmith

“…KRSA is an All-In-One tool that reads, formats, fits models, analyzes, and visualizes PamStation12 kinome data. While the underlying algorithm has been experimentally validated in previous publications, we demonstrate KRSA workflow on dorsolateral prefrontal cortex (DLPFC) in male (n = 3) and female (n = 3) subjects to identify differential phosphorylation signatures and upstream kinase activity. …”
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Treatment Planning Strategies for Interstitial Ultrasound Ablation of Prostate Cancer by Pragya Gupta, Tamas Heffter, Muhammad Zubair, I-Chow Hsu, E. Clif Burdette, Chris J. Diederich

“…Selectable ablation zones ranged from 0.8-3.0 cm and 0.8-5.3 cm in radial and axial directions, respectively. 3D patient-specific thermal treatment modeling for 12 Cases of T2/T3 prostate disease demonstrate applicability of workflow and technique for focal, quadrant and hemi-gland ablation. …”
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Effective Tumor Annotation for Automated Diagnosis of Liver Cancer by Yi-Hsuan Chuang, Ja-Hwung Su, Tzu-Chieh Lin, Hue-Xin Cheng, Pin-Hao Shen, Jin-Ping Ou, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Yi Lu, Chih-Chi Wang

“…In recent years, visual cancer information retrieval using Artificial Intelligence has been shown to be effective in diagnosis and treatment. …”
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A Unified Approach to Video Anomaly Detection: Advancements in Feature Extraction, Weak Supervision, and Strategies for Class Imbalance by Rui Z. Barbosa, Hugo S. Oliveira

“…Through comprehensive experimental analysis, the study examines the role of feature representations, sampling strategies, and curriculum learning in enhancing VAD performance. …”
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Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays by Chelsea E. Harris, Lingling Liu, Luiz Almeida, Carolina Kassick, Sokratis Makrogiannis

“…The combination of high classification accuracy and interpretable visual explanations underscores the promise of incorporating machine learning techniques into clinical workflows for the early and accurate diagnosis of osteopenia.…”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…The results highlight the model’s robustness in diverse lighting conditions and its ability to mitigate misclassifications of visually similar vials. By combining deep learning with MR, this system offers a more reliable and efficient alternative for pharmaceutical and medical applications, paving the way for AI-driven MR-assisted workflows in critical healthcare environments.…”
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Transfer Learning-Based Ensemble of CNNs and Vision Transformers for Accurate Melanoma Diagnosis and Image Retrieval by Murat Sarıateş, Erdal Özbay

“…This approach holds promise for integration into clinical workflows, offering improved diagnostic accuracy and efficiency in the early detection of melanoma.…”
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Analysis of Progress in Data Mining of Scientific Literature Using Large Language Models by CAI Yiran, HU Zhengyin, LIU Chunjiang

“…Scientific data extraction uses chain-of-thought prompting and knowledge graphs (such as ChatExtract and SynAsk) to parse experimental datasets. Chart decoding uses neural networks to extract numerical values and semantic patterns from visual elements. 2) Tool dimension: This explores the core functionalities of notable AI tools, including data mining platforms (such as LitU, SciAIEngine) and knowledge generation systems (such as Agent Laboratory, VirSci), with a focus on multimodal processing and automation. 3) Application dimension: LLMs produce high-quality datasets to tackle the issue of data scarcity. …”
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Application of Computer Simulation to Evaluate Performance Parameters of the Selective Soldering Process by Maciej Dominik, Marek Kęsek

“…The project demonstrates that simulation not only supports operational decision-making and resource planning but also enhances interdisciplinary communication by visually conveying complex workflows. Ultimately, the study confirms that simulation modeling is a powerful and adaptable approach to production optimization, contributing to long-term strategic improvements and innovation in technologically advanced manufacturing environments.…”
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