Enhancing Artificial Intelligence on a Real Mobile Game by Fabio Aiolli, Claudio E. Palazzi

“…One of the aspects crucial to the commercial success of a game is ensuring an appropriately challenging artificial intelligence (AI) algorithm against which to play. However, creating this component is particularly complex as classic search AI algorithms cannot be employed by limited devices such as mobile phones or, even on more powerful computers, when considering imperfect information games (i.e., games in which participants do not a complete knowledge of the game state at any moment). …”
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Artificial intelligence applied to diabetes complications: a bibliometric analysis by Yukun Tao, Jinzheng Hou, Guangxin Zhou, Da Zhang

“…Background and aimsArtificial intelligence (AI)-driven medical assistive technology has been widely used in the diagnosis, treatment and prognosis of diabetes complications. …”
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Challenges and recommendations for enhancing digital data protection in Indian Medical Research and Healthcare Sector by Anubhuti Sood, Deepika Mishra, Varun Surya, Harpreet Singh, Rajesh Sundaresan, Debnath Pal, Raghu Dharmaraju, Rohit Satish, Shashwat Mishra, Nishant A. Chavan, Soham Mondal, Pavan Duggal, Venkateswaran K. Iyer

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人工智能技术在肝细胞癌诊断、复发及预后预测研究进展 by 程兆瑞, 王彤

“…随着人工智能（AI）技术在医学领域的迅速发展，AI模型在肝细胞癌（HCC）诊断、预测预后和疗效方面展现了巨大的潜力。…”
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The Positive and Negative Affect Schedule (PANAS) among Mexican married persons from Monterrey by José Moral

“…The distribution of the total score (Affective Intensity = AI) followed a normal curve. The central tendency in AI, PA and NA was equivalent between men and women. …”
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Engineering Activity and Engineering Thinking in the Context of Artificial Intelligence Expansion by V. S. Sheinbaum, V. S. Nikolskiy

“…The academic press is increasingly discussing the impact of Artificial Intelligence (AI) technologies on education and science. Researchers pay attention not only to the applied aspects of the use of AI technologies, but also to the issues of the ontological foundations of activity that are being transformed under the influence of new technologies. …”
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Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future by Vasileios Leivaditis, Eleftherios Beltsios, Athanasios Papatriantafyllou, Konstantinos Grapatsas, Francesk Mulita, Nikolaos Kontodimopoulos, Nikolaos G. Baikoussis, Levan Tchabashvili, Konstantinos Tasios, Ioannis Maroulis, Manfred Dahm, Efstratios Koletsis

“…<b>Background:</b> Artificial intelligence (AI) has emerged as a transformative technology in healthcare, with its integration into cardiac surgery offering significant advancements in precision, efficiency, and patient outcomes. …”
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Future of artificial intelligence for the diagnosis and treatment of retinal diseases by E.A. Katalevskaya, D.Yu. Katalevskiy, M.I. Tyurikov, I.A. Velieva, A.V. Bol’shunov

“…AI technologies are applied in different areas of medicine, including ophthalmology. …”
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Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study by Rongxue Shan, Chenhao Pei, Qianrui Fan, Junchuan Liu, Dawei Wang, Shifeng Yang, Ximing Wang

“…Purpose To evaluate the detection performance of an artificial intelligence (AI)-assisted platform for HCC by the external validation dataset. …”
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Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization by Luchen Chang, Jiamei Liu, Jialin Zhu, Shuyue Guo, Yao Wang, Zhiwei Zhou, Xi Wei

“…Artificial intelligence (AI) is significantly advancing precision medicine, particularly in the fields of immunogenomics, radiomics, and pathomics. …”
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Salivary Cortisol Determination in ACTH Stimulation Test to Diagnose Adrenal Insufficiency in Patients with Liver Cirrhosis by Lara Albert, Joaquím Profitós, Jordi Sánchez-Delgado, Ismael Capel, José Miguel González-Clemente, David Subías, Albert Cano, Eugenio Berlanga, Anna Espinal, Marta Hurtado, Rocío Pareja, Mercedes Rigla, Blai Dalmau, Mercedes Vergara, Mireia Miquel, Meritxell Casas, Olga Giménez-Palop

“…The prevalence of adrenal insufficiency (AI) in patients with decompensated liver cirrhosis is unknown. …”
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Artificial intelligence in thrombosis: transformative potential and emerging challenges by Abdulrahman Al Raizah, Mshabab Alrizah

“…Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. …”
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Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes by Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski

“…Post-surgery intraocular lens calculations for Hill-RBF 3.0, Kane, PEARL-DGS, Ladas Super Formula AI (LSF AI), Hoffer QST, Karmona, and Nallasamy were performed. …”
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The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…However, the effectiveness and fairness of AI are critically dependent on the data it learns from. …”
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Involvement of RBP4 in Diabetic Atherosclerosis and the Role of Vitamin D Intervention by Wan Zhou, Shan-Dong Ye, Chao Chen, Wei Wang

“…Homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment β-cell function index (HOMA-β), and atherogenic indexes (AI) were calculated. Compared with group NC, the levels of RBP4, TG, LDL-c, FPG, FINS, CRP, AI1, AI2, SBP, and HOMA-IR increased, while the levels of HDL-c, 25(OH)D, and HOMA-β decreased in groups DM1 and DM2. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

“…Abstract Background Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. …”
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Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain by Erkan Ozduran, Volkan Hancı, Yüksel Erkin, İlhan Celil Özbek, Vugar Abdulkerimov

“…Methods All three AI chatbots were asked the 25 most frequently used keywords related to LBP determined with the help of Google Trend. …”
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Design of Dual Polarized FMCW Radar System With High Gain Lens Antenna for Through-the-Wall Human Detection by Chanhee Lee, Kyung Hwan Park, Hyungju Kim, Jayol Lee, Hyunseok Kim, Kyeong-Han Shin, Jeong-Wook Kim

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Helicobacter pylori luxS mutants cause hyperinflammatory responses during chronic infection by Christina Yang, Alessandra Rodriguez y Baena, Bryce A. Manso, Shuai Hu, Raymondo Lopez-Magaña, Mané Ohanyan, Karen M. Ottemann

“…We characterized the inflammatory response of H. pylori mutants that cannot produce the quorum sensing molecule autoinducer 2 (AI-2) by deleting the gene for the AI-2 synthase, luxS. …”
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Questioning the Moratorium on Synthetic Phenomenology by Krzanowski Roman

“…Metzinger’s argument is based on a category error, a common mistake in AI discussions. For the sake of clarity in AI discourse, and for reasons explained in the paper, such an error should be at least pointed out, if not corrected. …”
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