Diabetes Prediction Through Linkage of Causal Discovery and Inference Model with Machine Learning Models by Mi Jin Noh, Yang Sok Kim

“…Therefore, we predicted diabetes using an AI model and quantitatively examined causal relationships using a causal discovery and inference model. …”
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From Humans to Androids to Holograms: the Persistence of Character in Star Trek: The Next Generation and Voyager by Isabelle ROBLIN

“…Over the years, posthuman, AI-based characters have become fairly common in the Star Trek franchise, and the very question of their ontological status and of their relationship with the various human, humanoid or alien crews they work with is explored and evolves within the different series. …”
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Estrous Synchronization and Fixed-Time Artificial Insemination by Vitor R. G. Mercadante, Darren D. Henry, Francine M. Ciriaco, Pedro L. P. Fontes, Nicky Oosthuizen, G. Cliff Lamb

“…Over the last four decades, several advances in reproductive biotechnologies, such as artificial insemination (AI), synchronization of estrus, and fixed-time AI (TAI), have allowed producers to improve the genetic traits of their cattle and shorten the lengths of both the breeding season and subsequent calving season, which can lead to increased overall profitability of cow-calf production systems. …”
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An Analytical Study on Student Perceptions of Using CHATGPT in Language Translation by Zakaryia Almhasees, Hussein Abu Rayyash, Sameer Olimat, Dana Mahadin

“…Furthermore, the findings underscore the importance of extending the research landscape on AI-assisted translation tools. Thus, extending the research on A.I. …”
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Making the most of Artificial Intelligence and Large Language Models to support collection development in health sciences libraries by Ivan Portillo, David Carson

“…This project investigated the potential of generative AI models in aiding health sciences librarians with collection development. …”
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Optimizing Palm Oil Plantation Productivity Using Offline Blockchain and Drone Rover Solutions by Aryanto Aryanto, I Nengah Marccel Janara Brata Cipta, Dinda Armeylia Putri, Bella Amelia, Muhammad Herly Pratama

“…By combining offline blockchain technology with AI-driven analysis, this study provides a scalable and effective solution for sustainable agriculture in connectivity-challenged environments.…”
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A scaling law to model the effectiveness of identification techniques by Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye

“…Abstract AI techniques are increasingly being used to identify individuals both offline and online. …”
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Chronic Disease Management in Patients with Non-infectious Arthritis: Challenges and Solutions by WENG Xisheng, ZHANG Fengchun

“…In the future, with the deepening of the research on the application of AI technology and novel biologics, the management of chronic disease management of NIS will become more intelligent and personalized.…”
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Estrous Synchronization and Fixed-Time Artificial Insemination by Vitor R. G. Mercadante, Darren D. Henry, Francine M. Ciriaco, Pedro L. P. Fontes, Nicky Oosthuizen, G. Cliff Lamb

“…Over the last four decades, several advances in reproductive biotechnologies, such as artificial insemination (AI), synchronization of estrus, and fixed-time AI (TAI), have allowed producers to improve the genetic traits of their cattle and shorten the lengths of both the breeding season and subsequent calving season, which can lead to increased overall profitability of cow-calf production systems. …”
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Studies on Underwater Image Processing Using Artificial Intelligence Technologies by Sugunapriya A, Markkandan S

“…Our study highlights the significant advances in AI driven underwater image processing technologies with a need for more resilient and flexible algorithms that can manage the intricacies of an undersea environment. …”
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OPTIMIZATION OF TREATMENTS IN IMPLANTOLOGY BASED ON ARTIFICIAL INTELLIGENCE by Vlad-Ștefan Proca, Mădălina Pavel, Babușca Răzvan, Tibeica Andreea, Stratulat(Mihai) Dana Nicoleta, Norina Forna

“…The use of AI in implant dentistry has demonstrated the potential to enhance treatment outcomes, minimize errors, and personalize patient care.…”
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The New Normal in Pastoral Care: The Enduring Legacy of Media Appropriation in the Post-Pandemic Roman Catholic Church by Giulia Isetti, Michael de Rachewiltz, Harald Pechlaner

“…Additionally, it investigates the impact of ICT and AI on religious authority. A comparison of the two waves of interviews shows that in the new normal, there has been an acceleration of the adoption of ICT and AI, primarily for internal communication purposes. …”
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The association between cognitive frailty and the risk of fall occurrence in older adults: a meta-analysis of cohort studies by Jian Liu, Jian Liu, Jian Liu, Yu Wu, Yu Wu, Yu Wu, Zongke Long, Simeng Zhang, Shicai Wu, Shicai Wu, Shicai Wu

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A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education by Mirella Veras, Joseph-Omer Dyer, Holly Shannon, Bryce J M Bogie, Morgan Ronney, Harmehr Sekhon, Derek Rutherford, Paulo Goberlânio Barros Silva, Dahlia Kairy

“…Background Generative artificial intelligence (AI) integrated programs such as Chat Generative Pre-trained Transformers (ChatGPT) are becoming more widespread in educational settings, with mounting ethical and reliability concerns regarding its usage. …”
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Master your practice! A quantitative analysis of Device and system handling training to enable competent interactions with intelligent voice assistants by Maximilian Baumann, André Markus, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

“…Intelligent voice assistants (IVAs), such as Siri or Alexa, are voice-based artificial intelligence (AI) systems that help users solve everyday tasks using voice commands. …”
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Development of real-time RT-PCR for N2 subtype avian influenza RNA-virus detection by P. B. Akshalova, A. V. Andriyasov, L. O. Scherbakova, S. N. Kolosov, N. G. Zinyakov, I. A. Chvala, D. B. Andreychuk

“…Currently, N2 subtype avian influenza (AI) virus actively circulates in domestic and wild bird populations and is regularly detected in China, other Asian countries and Russia, particularly in combination with H9 hemagglutinin. …”
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Racial and Socioeconomic Disparities in Out-Of-Hospital Cardiac Arrest Outcomes: Artificial Intelligence-Augmented Propensity Score and Geospatial Cohort Analysis of 3,952 Patients by Dominique J. Monlezun, Alfred T. Samura, Ritesh S. Patel, Tariq E. Thannoun, Prakash Balan

“…We sought to perform the first large artificial intelligence- (AI-) guided statistical and geographic information system (GIS) analysis of a multiyear and multisite cohort for OHCA outcomes (incidence and poor neurological disposition). …”
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Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol by Sarah Khavandi, Ernest Lim, Aisling Higham, Nick de Pennington, Amin Hatamnejad, Sohel Somani, Eric S Tam, Hannah H Chiu

“…Introduction Artificial intelligence (AI) development has led to improvements in many areas of medicine. …”
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Assessment of ChatGPT-generated medical Arabic responses for patients with metabolic dysfunction-associated steatotic liver disease. by Saleh A Alqahtani, Reem S AlAhmed, Waleed S AlOmaim, Saad Alghamdi, Waleed Al-Hamoudi, Khalid Ibrahim Bzeizi, Ali Albenmousa, Alessio Aghemo, Nicola Pugliese, Cesare Hassan, Faisal A Abaalkhail

“…<h4>Background and aim</h4>Artificial intelligence (AI)-powered chatbots, such as Chat Generative Pretrained Transformer (ChatGPT), have shown promising results in healthcare settings. …”
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Effectiveness of the Facility for Elderly Surveillance System (FESSy) in Two Public Health Center Jurisdictions in Japan: Prospective Observational Study by Junko Kurita, Motomi Hori, Sumiyo Yamaguchi, Aiko Ogiwara, Yurina Saito, Minako Sugiyama, Asami Sunadori, Tomoko Hayashi, Akane Hara, Yukari Kawana, Youichi Itoi, Tamie Sugawara, Yoshiyuki Sugishita, Fujiko Irie, Naomi Sakurai

“…MethodsThis study assessed the use by public health centers of the detection mode of an automated AI detection system (ie, FESSy AI), as well as manual detection by the public health centers’ staff (ie, FESSy staff) and direct reporting by facilities to the public health centers. …”
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