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Littérature scientifique sur le sujet « AI assisted patent prosecution »

Auteur : Grafiati

Publié le 2 juin 2025

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "AI assisted patent prosecution"

Mr., Mohd Abdul Muneim Farzaan. "Revolutionizing Patent Processes: The Rise of AI-Assisted Patent Prosecution." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 220–29. https://doi.org/10.5281/zenodo.15521506.

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<em>The rapid advancement of Artificial intelligence is transforming innovation across industries, including intellectual property (IP). AI generated inventions has become increasingly prevalent worldwide and are reshaping its traditional processes of patent Drafting, examination and enforcement. AI tools predict patentability and automate patent searches with high efficiency. These advancements enable patent professionals enhance their decision making. An AI system generates novel ideas and inventions for intellectual property rights and for patent purposes and it also helps in learning machi

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Sayed Ahmed Mohamed Elshamy, Sarah. "Digitalization of Patent Prosecution, using Blockchain & AI." Journal of Intellectual Property and Innovation Management 5, no. 4 (2022): 59–75. http://dx.doi.org/10.21608/jipim.2023.301674.

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Shahzeb Akhtar. "The Role of Artificial Intelligence in Enhancing Patent Lifecycle Management." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2194–205. https://doi.org/10.32628/cseit23112582.

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This article explores the transformative role of Artificial Intelligence (AI) across the entire patent lifecycle, from initial ideation to post-grant management. It examines how AI technologies are revolutionizing various aspects of patent processes, including brainstorming and invention disclosure, prior art searches, patent drafting, office action responses, and portfolio management. The article discusses the potential of AI to enhance efficiency, accuracy, and strategic decision-making in patent management while also addressing the ethical and legal challenges that arise from integrating AI

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Vidal, Kathi. "AI and Inventorship Guidance: Incentivizing Human Ingenuity and Investment in AI-assisted Inventions." Technology & Innovation 23, no. 1 (2024): 104–6. https://doi.org/10.21300/23.1.2023.8.

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Following the Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (AI), the U. S. Department of Commerce has issued guidance on AI-assisted inventions via the United States Patent and Trademark Office (USPTO). This framework ensures that human contributions are significant enough for patent eligibility based on the Federal Circuit's "significant contribution" test. The guidance clarifies that AI-assisted inventions are not categorically unpatentable and outlines criteria for naming human inventors. Additionally, the USPTO is collaborating with th

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Mutale, Chisanga. "Crossing Frontiers: A Comparative Exploration of AI Inventorship and Ownership in Patent Law." International Journal of Research in Social Science and Humanities 05, no. 11 (2024): 57–69. https://doi.org/10.47505/ijrss.2024.11.5.

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This article aims at examininginventorshipand ownership ofArtificial Intelligence (AI) systems in patent law.This is achieved byemployinga comprehensive review of relevant patents Acts, policy documents and cases such as Thaler v. Iancu, case no. 1:20-cv-00903 (E.D. Va).The review is coupled with the analysis of AI inventorshipand ownershipacross various jurisdictions such as the United States of America, European Union and South Africa. This is done to understand the criteria for determining inventorship, ownershipand the contemporary interpretations of the concept of “intelligence."The artic

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Engel, Andreas. "Can a Patent Be Granted for an AI-Generated Invention?" GRUR International 69, no. 11 (2020): 1123–29. http://dx.doi.org/10.1093/grurint/ikaa117.

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Abstract Three patent offices had to answer the question of whether a patent can be granted for an invention for which an Artificial Intelligence (AI) system called DABUS was named as inventor. All applications were dismissed, but for different reasons. While the European Patent Office focused on formal rules, the UK Intellectual Property Office considered more substantive aspects, and the US Patent and Trademark Office relied on statutory language. From a policy perspective, the decisions find support in the fact that there is no clear consensus for AI to be recognized as an inventor, and tha

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Ms., Kummasani Vinodhini. "Artifical Intelligence in Cryptography: Protection of Cryptographic System under Patents." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 25, 2025): 95–111. https://doi.org/10.5281/zenodo.15514117.

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<em>Artificial Intelligence (AI) is transforming cryptographic approaches to encryption techniques, automating key generation, and strengthening safety mechanisms against cyber threats. Possible applications include strengthening data protection, detecting vulnerabilities, and optimizing cryptographic protocols. In particular, AI-based cryptographic models enhance the non- disable for security systems against advanced assaults, including those posed by quantum computing. Cryptography leverages AI through machine learning algorithms for anomaly detection, AI-based key management, and neural net

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Gómez-Quintana, Sergi, Christoph E. Schwarz, Ihor Shelevytsky, et al. "A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram." Healthcare 9, no. 2 (2021): 169. http://dx.doi.org/10.3390/healthcare9020169.

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The current diagnosis of Congenital Heart Disease (CHD) in neonates relies on echocardiography. Its limited availability requires alternative screening procedures to prioritise newborns awaiting ultrasound. The routine screening for CHD is performed using a multidimensional clinical examination including (but not limited to) auscultation and pulse oximetry. While auscultation might be subjective with some heart abnormalities not always audible it increases the ability to detect heart defects. This work aims at developing an objective clinical decision support tool based on machine learning (ML

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Lee, Dasheng, and Liyuan Chen. "Sustainable Air-Conditioning Systems Enabled by Artificial Intelligence: Research Status, Enterprise Patent Analysis, and Future Prospects." Sustainability 14, no. 12 (2022): 7514. http://dx.doi.org/10.3390/su14127514.

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Artificial intelligence (AI) technologies have developed rapidly since 2000. Numerous academic papers have been published regarding energy efficiency improvements for air-conditioning systems. This study reviewed 12 review papers and selected 85 specific cases of applications of AI for HVAC energy usage reduction. In addition to academic studies, 31,221 patents related to HVAC energy-saving equipment filed by 11 companies were investigated. In order to analyze the large amount of data, this study developed a resource description framework (RDF) as an analysis tool. This tool was used with a na

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Adv., Mahabalesh K. Patil. "The Legal Frontier: AI-Driven Innovations and the Future of IP Framework." Annual International Journal on Analysis of Contemporary Legal Affairs (AIJACLA) 5 (May 26, 2025): 208–18. https://doi.org/10.5281/zenodo.15521494.

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<em>The rapid advancement of Artificial Intelligence is reshaping industries and redefining legal frameworks, particularly in the realm of Intellectual Property law. The paper examines the intersection of AI and IP rights, focusing on critical issues such as inventorship, authorship, and policy development. AI-generated creations challenge traditional legal concepts, raising questions about ownership, accountability, and liability. Current IP laws, primarily designed for human ingenuity, struggle to accommodate AI-generated works, necessitating urgent legal reforms. The paper categorizes AI-dr

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Chapitres de livres sur le sujet "AI assisted patent prosecution"

Mešević, Iza Razija. "Reevaluating Main Concepts of Intellectual Property in the Light of AI-Challenges." In European Union and its Neighbours in a Globalized World. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-40801-4_14.

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AbstractThis paper examines the impact of Artificial Intelligence (AI) systems on some of the main principles of Intellectual Property, specifically those inherent to copyright and patent law. Particular attention is dedicated to the concept of authorship in relation to AI-assisted and AI-generated creations in the field of art. The chapter also examines the potential need, or a lack thereof, to re-evaluate the anthropocentric foundations of copyright embedded in the acquis communautaire, copyright laws of the Member States and the case law of CJEU. Taking into consideration the AI’s inability

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Ali, Feroz. "Digitalized Invention, Decentralized Patent System." In Artificial Intelligence and Intellectual Property. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870944.003.0007.

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Throughout the history of patent law, the manner of representation of invention influenced the process of the patent office in prosecuting them. This chapter traces how changes in the representation of the invention—from material to textual to digital—transformed patent prosecution. Early inventions were represented by working models, the materialized invention that needed little or no examination by the patent office, as they were the inventions themselves. Substantive examination became necessary when the representation of the invention shifted from material to textual, the point in history

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Nakayama, Ichiro. "Patentability and PHOSITA in the AI Era—A Japanese Perspective." In Artificial Intelligence and Intellectual Property. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198870944.003.0006.

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Although it may not be clear whether AI may generate the invention autonomously without human intervention, recent development of AI produces inventions of AI technologies such as machine learning (deep learning). Inventors also have begun to use AI as a tool to help them create inventions. These AI-assisted inventions raise the urgent and practical issues of patentability such as patentable subject matter (patent eligibility), disclosure requirements, and inventive step (non-obviousness). The Japanese Patent Office (JPO) updated the Examination Handbook to address some of the issues. For inst

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Actes de conférences sur le sujet "AI assisted patent prosecution"

Kohda, Youji, and Amna Javed. "To What Extent Can AI Simplify Academic Paper Writing?" In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004194.

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In the AI era, how will the work of researchers change and what will the future of the research profession be like? This paper discusses how academic paper writing can be made more efficient through AI assistance. To facilitate our discussion, we used a somewhat unusual approach. Noting that the novelty and inventive step of an invention and the originality and academic significance of an academic paper are the same, we propose a six-step model for AI-assisted academic paper writing, inspired by AI-assisted patent prior art search. On the basis of the proposed model, we present our thoughts on

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