Accuracy and Safety of AI-Enabled Scribe Technology: Instrument Validation Study by Joshua Biro, Jessica L Handley, Nathan K Cobb, Varsha Kottamasu, Jeffrey Collins, Seth Krevat, Raj M Ratwani

“… Artificial intelligence–enabled ambient digital scribes may have many potential benefits, yet results from our study indicate that there are errors that must be evaluated to mitigate safety risks.…”
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Fund Performance Evaluation Based on Bayesian Model and Machine Learning Algorithm by Shuanbao Li, Shenming Qu

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Some Coincidence and Common Fixed Point Results in Fuzzy Metric Space with an Application to Differential Equations by Saif Ur Rehman, Iqra Shamas, Naeem Jan, Abdu Gumaei, Mabrook Al-Rakhami

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Fractal Analysis of Stealthy Pathfinding Aesthetics by Ron Coleman

“…This study is important since in general the artificial intelligence literature has given relatively little attention to aesthetic outcomes in pathfinding. …”
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The dangerous biology of pathogenic germs by Berche, Patrick

“…The convergence of biotechnologies with other disciplines, including computer science and Artificial Intelligence (AI), may make it possible to carry out dangerous genetic manipulations on pathogenic germs, as the gain-of-function experiments exacerbating virulence, as those carried out on myxoviruses and coronaviruses. …”
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Representation of Fuzzy Concept Lattices in the Framework of Classical FCA by Peter Butka, Jozef Pócs, Jana Pócsová

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Association of delayed asthma diagnosis with asthma exacerbations in children by Chung-Il Wi, MD, Euijung Ryu, PhD, Katherine S. King, MS, Jung Hyun Kwon, MD, PhD, Joshua T. Bublitz, BS, Miguel Park, MD, Sergio E. Chiarella, MD, Jason D. Greenwood, MD, MS, Thanai Pongdee, MD, Lynnea Myers, PhD, Björn Nordlund, PhD, Sunghwan Sohn, PhD, Elham Sagheb, MS, Bhavani Singh Agnikula Kshatriya, MS, Dave Watson, PhD, Hongfang Liu, PhD, Beverley J. Sheares, MD, MS, Carla M. Davis, MD, Wade Schulz, MD, PhD, Young J. Juhn, MD, MPH

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Inflamed immune phenotype predicts favorable clinical outcomes of immune checkpoint inhibitor therapy across multiple cancer types by Jeanne Shen, Sergio Pereira, Chan-Young Ock, Yung-Jue Bang, Seulki Kim, Sehhoon Park, Se-Hoon Lee, George A Fisher, Young Kwang Chae, Yoon-La Choi, Jin-Haeng Chung, Tony S K Mok, Leeseul Kim, Jun-Eul Hwang, Gahee Park, Sanghoon Song, Seunghwan Shin, Yoojoo Lim, Wonkyung Jung, Heon Song, Hyojin Kim, Taebum Lee, Sukjun Kim, Chang Ho Ahn, Seokhwi Kim, Ben W Dulken, Stephanie Bogdan, Maggie Huang, Chiyoon Oum, Siraj M. Ali

“…Here, we investigate artificial intelligence (AI)-based immune phenotypes capable of predicting ICI clinical outcomes in multiple solid tumor types.Methods Lunit SCOPE IO is a deep learning model which determines the immune phenotype of the tumor microenvironment based on TIL analysis. …”
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Extremely early initiation of vasopressors might not decrease short-term mortality for adults with septic shock: a systematic review and meta-analysis by Cheng-Hsin Ma, Jack Healy, Ebrima Kinteh, Cheng-Chin Ma, Ching-Fang Tiffany Tzeng, Eric H. Chou, Chin-Chieh Wu, Shih-Chieh Shao, Kuan-Fu Chen

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Using Hyperspectral Imaging and Principal Component Analysis to Detect and Monitor Water Stress in Ornamental Plants by Van Patiluna, James Owen, Joe Mari Maja, Jyoti Neupane, Jan Behmann, David Bohnenkamp, Irene Borra-Serrano, José M. Peña, James Robbins, Ana de Castro

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MDTR: a knowledge-guided interpretable representation for quantifying liver toxicity at transcriptomic level by Inyoung Sung, Sangseon Lee, Dongmin Bang, Dongmin Bang, Jungseob Yi, Sunho Lee, Sun Kim, Sun Kim, Sun Kim, Sun Kim

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Reinforcement learning based route optimization model to enhance energy efficiency in internet of vehicles by Quadeer Hussain, Ahmad Shukri Mohd Noor, Muhammad Mukhtar Qureshi, Jianqiang Li, Atta-ur Rahman, Aghiad Bakry, Tariq Mahmood, Amjad Rehman

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The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database by Nur Ain Nabila Za’im, Fahad Taha AL-Dhief, Mawaddah Azman, Majid Razaq Mohamed Alsemawi, Nurul Mu′azzah Abdul Latiff, Marina Mat Baki

“…The aim of this study was to determine the accuracy of an online artificial intelligence classifier, the Online Sequential Extreme Learning Machine (OSELM), in detecting voice pathology. …”
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Molecular dynamics and machine learning unlock possibilities in beauty design—A perspective by Yuzhi Xu, Haowei Ni, Fanyu Zhao, Qinhui Gao, Ziqing Zhao, Chia-Hua Chang, Yanran Huo, Shiyu Hu, Yike Zhang, Radu Grovu, Hermione He, John Z. H. Zhang, Yuanqing Wang

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Enhanced Forecasting and Assessment of Urban Air Quality by an Automated Machine Learning System: The AI‐Air by Jiayu Yang, Huabing Ke, Sunling Gong, Yaqiang Wang, Lei Zhang, Chunhong Zhou, Jingyue Mo, Yan You

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The Fourth Industrial Revolution: Another Industrial Revolution Leaving Black Women Behind? by Malaika Mahlatsi

“…This fusion of advances in complex technologies, including but not limited to robotics, quantum computing, blockchain, artificial intelligence (AI) and the internet of things (IoT), would affect all disciplines and industries of the modern world. …”
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Research on Correction Method of Spoken Pronunciation Accuracy of AI Virtual English Reading by Shuli Wang, Xiuchuan Shi

“…In order to improve the pronunciation accuracy of spoken English reading, this paper combines artificial intelligence technology to construct a correction model of the spoken pronunciation accuracy of AI virtual English reading. …”
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The Fourth Industrial Revolution: Another Industrial Revolution Leaving Black Women Behind? by Malaika Mahlatsi

“…This fusion of advances in complex technologies, including but not limited to robotics, quantum computing, blockchain, artificial intelligence (AI) and the internet of things (IoT), would affect all disciplines and industries of the modern world. …”
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The Recognition of Action Idea EEG with Deep Learning by Guoxia Zou

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A New Perspective to Algebraic Characterization on Controllability of Multiagent Systems by Bo Liu, Housheng Su, Licheng Wu, Shengchao He

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