Development and validation of computer-aided detection for colorectal neoplasms using deep learning incorporated with computed tomography colonography by Shungo Endo, Koichi Nagata, Kenichi Utano, Satoshi Nozu, Takaaki Yasuda, Ken Takabayashi, Michiaki Hirayama, Kazutomo Togashi, Hiromasa Ohira

“…Methods Lesion location and size were evaluated during colonoscopy and a large-scale database including a dataset for AI learning and external validation was created. …”
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Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study by Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam

“… BackgroundGenerative artificial intelligence (AI) for tabular synthetic data generation (SDG) has significant potential to accelerate health care research and innovation. …”
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MIDAS: a technology-enabled hub-and-spoke system for the collection and dissemination of high-quality medical datasets in India by Dibyajyoti Maity, Rohit Satish, Raghu Dharmaraju, Vijay Chandru, Rajesh Sundaresan, Harpreet Singh, Debnath Pal

“…Abstract Background The need for better AI models fuels the demand for larger and larger high-quality datasets with significant diversity. …”
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Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

“…Integrating Generative AI in Business Intelligence: A Practical Framework for Enhancing Augmented Analytics: This study offers a practical framework for integrating generative AI (Gen AI) into Business Intelligence (BI). …”
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Imagination, ethics, and epistemic inquiry: Why teaching literature and film in the philosophy classroom matters by Aleksandra Hernandez

“…Nowhere is this more apparent than in the classroom, where we should expect that students are using AI to support their learning. Given the widespread use of AI for analysing and creating content, we need to think about how to counter the threat these emerging technologies pose to the moral and epistemic agency of our students. …”
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SecureLLM: A Unified Framework for Privacy-Focused Large Language Models by Konstantinos Kalodanis, Sotirios Papadopoulos, Georgios Feretzakis, Panagiotis Rizomiliotis, Dimosthenis Anagnostopoulos

“…The SecureLLM framework underscores the potential of cryptography, differential privacy, and decentralized fine-tuning for creating safer and more compliant AI systems.…”
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Relevance of Artificial Intelligence in Medical Laboratory Science with Emphasis on Histopathology Specialty. by Odigie, B.E. 1 and Abude, C.V.

“…The act of creating machines that carry out functions requiring intelligence performed by humans is often known as artificial intelligence (AI). …”
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An Empirical Investigation in Analysing the Critical Factors of Artificial Intelligence in Influencing the Food Processing Industry: A Multivariate Analysis of Variance (MANOVA) Ap... by G. S. Raghavendra, S. Shyni Carmel Mary, Purnendu Bikash Acharjee, V. L Varun, Syed Nisar Hussain Bukhari, Chiranjit Dutta, Issah Abubakari Samori

“…The role of AI in food processing is fast changing the manner in which the customer queries are addressed, enabling analysing the needs and requirements, and focus on creating improved packaging, high quality, and better shelf life. …”
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Soft Robotics for Parkinson’s Disease Supported by Functional Materials and Artificial Intelligence by Hirak Mazumdar, Kamil Reza Khondakar, Suparna Das, Ajeet Kaushik

“…This review outlines the key components, benefits, and potential impact of this novel approach, highlighting the transformative potential of combining wearable robotics, AI, and AR in the treatment of PD. The potential for creating novel healthcare solutions by combining soft robotics, functional materials, the Internet-of-Things (IoT), and machine learning (ML) is highlighted by this multidisciplinary approach.…”
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Urban Experience And Design, (Org.) by Justin B. Hollander and Ann Sussman, Book Review by Pedro Soares Neves

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Memory technology enabling future computing systems by Paolo Fantini

“…Although the astounding progress through Moore’s law has made possible the demonstrations of truly remarkable tasks of artificial intelligence (AI), the AI revolution is challenging the semiconductor technology itself. …”
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Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space by Simone Piaggesi, Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi

“…Explainable AI is a field that seeks to make AI decisions more transparent by producing explanations. …”
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O systemach sztucznej inteligencji w kontekście praw człowieka w orzecznictwie Europejskiego Trybunału Praw Człowieka by Martyna Kaczmarczyk

“…Moreover, due to the wide range of applications of AI systems in various areas of life, the possibilities that technological development creates for us go beyond the human imagination. …”
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COVID-19 pandemic prediction model based on machine learning in selected regions of the Russian Federation by D. V. Gavrilov, R. V. Abramov, А. V. Kirilkina, А. А. Ivshin, R. E. Novitskiy

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Immersive heritage through Gaussian Splatting: a new visual aesthetic for reality capture by Osama Jamil, AnnMarie Brennan

“…This paper investigates the emerging use of 3D generative artificial intelligence (GenAI) models, particularly Gaussian Splatting (GS), for creating immersive virtual environments in architectural heritage contexts. …”
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Digital replicas and democracy: issues raised by the Hollywood actors’ strike by Asuka Yamazaki

“…Abstract Recent years have seen artificial intelligence (AI) technologies from large companies increasingly privatize people’s data, creating asymmetrical and undemocratic economic relations. …”
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PLOT QUALITY RATING AS A RESULT OF INNOVATION MANAGEMENT IN THE ARTIFICIAL INTELLIGENCE SOCIETY by Mădălina Andreea BACIU, Ștefan VIZITEU, Stejărel BREZULEANU

“…In this area of research, imaging can be very useful and having strong benefits for the final customers. This need provided by AI comes with the imaging concept, based on drone flights and interpretation. …”
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A machine learning approach to predict pancreatic islet grafts rejection versus tolerance. by Gerardo A Ceballos, Luis F Hernandez, Daniel Paredes, Luis R Betancourt, Midhat H Abdulreda

“…The application of artificial intelligence (AI) and machine learning (ML) in biomedical research promises to unlock new information from the vast amounts of data being generated through the delivery of healthcare and the expanding high-throughput research applications. …”
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Improvement of an Edge-IoT Architecture Driven by Artificial Intelligence for Smart-Health Chronic Disease Management by William Alberto Cruz Castañeda, Pedro Bertemes Filho

“…Future research works involve extending the performance of the algorithms with new datasets, creating and optimizing embedded AI models, deploying edge-IoT with embedded AI for wearable devices, implementing an autonomous AI cloud engine, and implementing federated learning to deliver scalable smart health in a smart city context.…”
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Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil by Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira

“…The COVID-19 pandemic has catalyzed the application of advanced digital technologies such as artificial intelligence (AI) to predict mortality in adult patients. However, the development of machine learning (ML) models for predicting outcomes in children and adolescents with COVID-19 remains limited. …”
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