A Review of the Intraoperative Use of Artificial Intelligence in Urologic Surgery by Arjun Guduguntla, Abdullah Al-Khanaty, Catherine E. Davey, Oneel Patel, Anthony Ta, Joseph Ischia

“…Presently, the predominant applications of AI in urological surgery are achieved using the tool of computer vision. This review aims to summarise potential intra-operative AI tools for urologists. …”
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Clinical and diagnostic imaging outcomes of mandibular fracture management in 109 cats by Janny V. Evenhuis, Anna Vincek, Stephanie Goldschmidt, Maria Soltero-Rivera, Mindy A. Nguyen, Boaz Arzi

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In Silico Identification and Characterization of Spiro[1,2,4]triazolo[1,5-<i>c</i>]quinazolines as Diacylglycerol Kinase α Modulators by Lyudmyla Antypenko, Kostiantyn Shabelnyk, Oleksii Antypenko, Mieko Arisawa, Oleksandr Kamyshnyi, Valentyn Oksenych, Serhii Kovalenko

“…Through structure-based computational design using the CB-Dock2 platform with human DGK-α (PDB ID: 6IIE), 40 novel compounds were systematically evaluated along with established inhibitors (ritanserin, R59022, R59949, BMS502, and (5<i>Z</i>,2<i>E</i>)-CU-3) across five distinct binding pockets. …”
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Hydrothermal behaviour of hybrid nanofluid flow in two types of shell and helical coil tube heat exchangers with a new design. Numerical approach by Dheyaa J. Jasim, Seyed Hossein Hashemi Karouei, Thamer J. Mohammed, Ahmed Salah Al-Shati

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Deriving tissue physical densities based on Dixon magnetic resonance images and tissue composition prior knowledge for voxel-based internal dosimetry by Cheng-Ting Shih, Ko-Han Lin, Bang-Hung Yang, Chien-Ying Li, Tzu-Lin Lin, Greta S. P. Mok, Tung-Hsin Wu

“…The accuracy of the proposed method in deriving ρ and calculating the internal dose of 18F-FDG PET imaging was evaluated by comparing with those obtained from computed tomography (CT) images of the same patient and was compared with those obtained using generative adversarial networks (GANs). …”
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Diagnostic performance of radiomics analysis for pulmonary cancer airway spread: a systematic review and meta-analysis by Jie Chen, Xinyue Zhang, Chi Xu, Kefu Liu

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Deep Learning Scheduling on a Field-Programmable Gate Array Cluster Using Configurable Deep Learning Accelerators by Tianyang Fang, Alejandro Perez-Vicente, Hans Johnson, Jafar Saniie

“…Aimed at advancing FPGA applications in real-time edge computing, this study focuses on achieving optimal latency for a distributed computing system. …”
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Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2 by Connor C. Mullins, Travis J. Esau, Qamar U. Zaman, Patrick J. Hennessy

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AI-powered visual E-monitoring system for cattle health and wealth by Aung Si Thu Moe, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…This study presents an AI-powered cattle health monitoring system that combines real-time computer vision, edge computing, and mobile applications to enhance animal welfare and farm productivity. …”
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Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

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Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer by Nan Yang, Zhuang Xuan Ma, Xin Wang, Li Xiao, Liang Jin, Ming Li

“…Therefore, this study aimed to develop a clinical-radiomics fusion nomogram based on computed tomography (CT) to estimate progression-free survival (PFS) in patients diagnosed with SCLC. …”
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Detection of Irrigated and Non-Irrigated Soybeans Using Hyperspectral Data in Machine-Learning Models by Izabela Cristina de Oliveira, Ricardo Gava, Dthenifer Cordeiro Santana, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Mayara Favero Cotrim, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro

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The Battleship technique: A reliable method to quantify intraarticular distance maps patterns and correlate hindfoot alignment by Ben Efrima, Agustin Barbero, Amit Benady, Yair Green Halimi, Jari Dahmen, Gino M. M. J. Kerkhoffs, Jon Karlsson, Cristian Indino, Camila Maccario, Federico G. Usuelli

“…Abstract Purpose Weight‐bearing computed tomography (WBCT) creates colour‐coded distance maps (DM) to analyze intraarticular contact areas, offering a detailed assessment of joint surface interactions. …”
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Follow-up after radioiodine remnant ablation in differentiated thyroid cancer: the view of nuclear medicine physician by A. Yu. Shurinov, E. V. Borodavina

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Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V. Parghane, Sanjay Talole, Sandip Basu

“…Following 177Lu-DOTATATE PRRT, posttreatment functional and structural imaging response evaluation of the meningiomas were undertaken by 68Ga-DOTATATE PET/CT, MRI, or CT brain, respectively, along with clinical neurological evaluation. …”
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Prevalence of hitherto unknown brain meningioma detected on 68Ga-DOTATATE positron-emission tomography/computed tomography in patients with metastatic neuroendocrine tumor and expl... by Rahul V Parghane, Sanjay Talole, Sandip Basu

“…Following177Lu-DOTATATE PRRT, posttreatment functional and structural imaging response evaluation of the meningiomas were undertaken by 68Ga-DOTATATE PET/CT, MRI, or CT brain, respectively, along with clinical neurological evaluation. …”
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Isolated abducens nerve involvement as a revealing sign of temporal bone fracture: A case report by Abdelmonim Belkacemi, Youssef Azouaghe, Saad Bouchlarhem, Achraf Amine Sbai, Drissia Benfadil, Azeddine Lachkar, Fahd El Ayoubi El Idrissi

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Comparison of blood viscosity models in different degrees of carotid artery stenosis by Siyu Liu, Sai Wang, Hongan Tian, Junzhen Xue, Yuxin Guo, Jingxi Yang, Haobin Jiang, Jian bao Yang, Yang Zhang

“…Methods A three-dimensional vessel model was established using computed tomography angiography (CTA), followed by CFD simulations to calculate WSS, TAWSS, OSI, and RRT. …”
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Machine Learning for Monoclonal Gammopathies of Renal Significance Risk Stratification Using Clinical and Pathology Data by Giorgio Cazzaniga, Giulia Capitoli, Raffaella Barretta, Andrew Smith, Gisella Vischini, Giuliana Papalia, Federico Alberici, Federica Mescia, Albino Eccher, Jan Ulrich Becker, Maarten Naesens, Lucrezia Furian, Bernd Schröppel, Stefania Galimberti, Fabio Pagni, Vincenzo L'Imperio

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Wheat Cultivation Suitability Evaluation with Stripe Rust Disease: An Agricultural Group Consensus Framework Based on Artificial-Intelligence-Generated Content and Optimization-Dri... by Tingyu Xu, Haowei Cui, Yunsheng Song, Chao Zhang, Turki Alghamdi, Majed Aborokbah

“…Plant modeling uses mathematical and computational methods to simulate plant structures, physiological processes, and interactions with various environments. …”
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