Discrimination of Radiologists' Experience Level Using Eye-Tracking Technology and Machine Learning: Case Study by Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R Mock, Edward J Golob

“…ObjectiveThe objective of this study is to provide an alternative method for distinguishing between radiologists by means of captured eye-tracking data such that the raw gaze (or processed fixation data) can be used to discriminate users based on subconscious behavior in visual inspection. …”
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Comparing IOL refraction prediction accuracy and A-constant optimization for cataract surgery patients across South Indian and Midwestern United States populations by Omer Siddiqui, Elisa Warner, Miles Greenwald, Tingyang Li, Karthik Srinivasan, Aravind Haripriya, Nambi Nallasamy

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Determinants of compliance to the facemask directive in Greece: A population study. by Georgios Labiris, Eirini-Kanella Panagiotopoulou, Asli Perente, Eleftherios Chatzimichael, Ioannis Fotiadis, Sergios Taliantzis, Aristeidis Konstantinidis, Doukas Dardabounis

“…Moreover, to explore the impact of spectacles, contact lenses and visual acuity on the compliance to the facemask directive.…”
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A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves by Stefano Polimena, Gianvito Pio, Maria Cefola, Michela Palumbo, Michelangelo Ceci, Giovanni Attolico

“…Machine learning (ML) approaches based on image analysis have been recently proposed to overcome the poor efficiency and subjectivity of human visual evaluation as well as the expensiveness and destructiveness of physical and chemical methods that measure internal indicators. …”
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Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images by Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei, Mingming Xu, Shanwei Liu

“…This study presents Algae-Mamba, an advanced network for algae extraction that builds upon the visual state-space (VSS) model. The Algae-Mamba unified VSS model and the Kolmogorov–Arnold network proposed the Kolmogorov–Arnold visual state space (KVSS) model. …”
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Remote sensing image interpretation of geological lithology via a sensitive feature self-aggregation deep fusion network by Kang He, Jie Dong, Haozheng Ma, Yujie Cai, Ruyi Feng, Yusen Dong, Lizhe Wang

“…Although deep learning (DL) methods has significantly improved the performance of lithological remote sensing interpretation, its accuracy remains far below the level achieved by visual interpretation performed by domain experts. …”
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Interaction of Molybdo-Phosphoric and Molybdo-Antimono-Phosphoric Heteropoly Acids with Silica Gels Modified with Aliphatic and Heterocyclic Quaternary Ammonium Salts by Olga A. Zaporozhets, Igor A. Kachan, Lionel S. Zinko, Julia P. Bas, Valentyn I. Davydov

“…Such interfacial reactions can successfully be applied to the development of spectroscopic and semi-quantitative visual test techniques for detecting trace amounts of phosphorus and antimony.…”
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VAD-CLVA: Integrating CLIP with LLaVA for Voice Activity Detection by Andrea Appiani, Cigdem Beyan

“…Notably, our approach outperforms several audio-visual methods despite its simplicity and without requiring pretraining on extensive audio-visual datasets.…”
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Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer by Shaolong Zheng, Kungan Zeng, Zhenni Li, Qianming Wang, Kan Xie, Ming Liu, Shengli Xie

“…Comparative experiments were conducted on real-world GNSS measurement data in urban areas, demonstrating that the proposed method can achieve an accuracy exceeding 96% for satellite visibility prediction and obtain better generalization performance than existing multipath prediction methods. …”
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BALO’S CONCENTRIC SCLEROSIS: CLINICAL CASE ОF REMISSION by L. V. Lorina, A. O. Burshinov

“…Based on complaints, clinical picture and MRI result, patient was diagnosed with an atypical form of multiple sclerosis, Balo’s concentric sclerosis. The main diagnostic method used confirm the diagnosis was contrast brain MRI: Non homogenous circular-form space occupying lesion with dimensions 3.7 × 3.4 × 3.5 cm was visualized in the supraventricular area of right parietal lobe with increased and decreased signals on T2 and T1 weighted images respectively. …”
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Analysis of Tear Function Outcomes following Collagen Cross-Linking Treatment in Ectatic Corneas by Xiu Wang, Xue Bai, Chengcheng Jin, Liqiong Zhao, Ruihua Wei

“…To analyze tear function outcomes following collagen cross-linking (CXL) treatment in ectatic corneas. Methods. Fifty-seven eyes of 34 patients were included, and patients with keratoconus who underwent epithelium-on (epi-on) or epithelium-off (epi-off) CXL were evaluated. …”
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Deep Learning for Urban Tree Canopy Coverage Analysis: A Comparison and Case Study by Grayson R. Morgan, Danny Zlotnick, Luke North, Cade Smith, Lane Stevenson

“…However, most studies have tested only one or two classification methods to accomplish this while using costly satellite imagery or LiDAR data. …”
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Mechanisms of “Cough-Trick” for Pain Relief during Venipuncture: An Experimental Crossover Investigation in Healthy Volunteers by Taras I. Usichenko, Henriette Janner, Maria Gagarine, Dragan Pavlovic, Eric Lang, Klaus Hahnenkamp

“…Methods. 54 healthy male volunteers participated in 3 investigations. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…The histopathology images are key tools in the diagnosis process, allowing pathologists to visually assess tissue samples for signs of cancer. …”
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An Enhanced Approach Using AGS Network for Skin Cancer Classification by Hwanyoung Lee, Seeun Cho, Jiyoon Song, Hoyoung Kim, Youjin Shin

“…The AGS network demonstrates how integrating diverse methods can improve the performance of skin cancer classification models.…”
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Network Analysis of Key Instrumental Activities of Daily Living and Cognitive Domains for Targeted Intervention in US Older Adults Without Dementia: Cross-Sectional Study by Jiaying Li, Rendong He, Erh-Chi Hsu, Junxin Li

“…Nonparametric and case-dropping bootstrap methods checked network stability. Network comparison tests assessed sex differences with Benjamini-Hochberg adjustments. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

“…Conventional identification methods, such as ear tags and wearable sensors, often compromise animal comfort and produce inconsistent data under real-world farm conditions. …”
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Mapping two decades of research in rheumatology-specific journals: a topic modeling analysis with BERTopic by Alfredo Madrid-García, Dalifer Freites-Núñez, Beatriz Merino-Barbancho, Inés Pérez Sancristobal, Luis Rodríguez-Rodríguez

“…Statistical learning methods, gene therapy, telemedicine, or precision medicine are other advancements that have gained relevance in the field. …”
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Dynamic Snake Convolution Neural Network for Enhanced Image Super-Resolution by Weiqiang Xin, Ziang Wu, Qi Zhu, Tingting Bi, Bing Li, Chunwei Tian

“…In summary, the proposed DSCNN outperforms existing methods in both objective metrics and visual perception (e.g., our method achieved optimal PSNR and SSIM results on the Set5 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>×</mo><mn>4</mn></mrow></semantics></math></inline-formula> dataset).…”
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Efficacy of single vs. multiple botulinum toxin type A injections for trigeminal neuralgia by Ying-ying Xu, Cheng-wei Guo, He-jing Chen, Ji-li Bao, Ying Li, Shu-yang Ma, Qi-lin Zhang, Jing Liu, Wei-feng Luo

“…BTX-A injections were performed by the same physician using the same methods. Pain severity was assessed using the visual analog scale (VAS). …”
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