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The traditional medical order has been disrupted by the older age populace and the presence of communicable disorders, greatly raising the strain on health maintenance as well as unfavorably disturbing the conservative system. Artificial intelligence (AI)-base…
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Ms. N. Kavitha, Dr. P. Moniya, Ms. P. Palaniyammal, Ms. P. Shakthipriya
2024-06-10T06:01:32Z
置信度 0.70
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Neurological and psychiatric conditions including Alzheimer's disease, PTSD, depression, and schizophrenia affect hundreds of millions of people globally, yet existing pharmaceutical treatments are expensive, inconsistent, and out of reach for many. This paper…
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Kunqi Miao
2026-05-28T07:50:15Z
置信度 0.70
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Abstract The convergence of artificial intelligence (AI), machine learning (ML), and environmental, social, and governance (ESG) considerations has transformed financial decision-making. This transformation yields several advantages, including enhanced predict…
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Jewel Kumar Roy
2026-05-18T08:09:02Z
置信度 0.70
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There is a strong correlation between linguistics and artificial intelligence (AI), best manifested by deep learning language models. This study provides a thorough scientometric analysis of this correlation, synthesizing the intellectual production over 51 ye…
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Mohammed Q. Shormani
2025-10-17T02:48:29Z
置信度 0.70
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The article provides a comprehensive narrative review of the role of artificial intelligence (AI) in the future of medicine, focusing on its potential to replace physicians in various clinical applications. AI technologies such as machine and deep learning, es…
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Sergio David Pintado Brito
2024-07-05T20:05:38Z
置信度 0.70
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Artificial Intelligence is at the leading edge of innovation and is developing very fast. In recent studies, it has played a progressive and vital role in computer-aided diagnosis. The chest is one of the large body parts of human anatomy and contains several …
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Shubhra Prakash, Ramamurthy B
2022-04-29T17:03:50Z
置信度 0.70
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BACKGROUND Pediatric respiratory diseases, including asthma and pneumonia, are major causes of morbidity and mortality in children. Auscultation of lung sounds is a key diagnostic tool but is prone to subjective variability. The integration of artificial intel…
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Ji Soo Park, Sa-Yoon Park, Jae Won Moon, Kwangsoo Kim 等
2025-04-18T20:05:06Z
置信度 0.70
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Artificial intelligence applications in ophthalmology have proliferated rapidly, with glaucoma diagnosis representing a particularly active area of development given the disease's insidious progression and significant visual morbidity when untreated. This syst…
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Pierre Dubois, Claire Moreau
2026-04-11T10:18:05Z
置信度 0.70
-
crossref
Mark Stefik
2003-03-14T13:02:52Z
置信度 0.70
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crossref
Herbert A. Simon
2002-07-25T22:20:38Z
置信度 0.70
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crossref
Hankui Hu, Zhoupeng Wu
2025-05-01T02:03:20Z
置信度 0.70
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crossref
Neil Vaughan, Bogdan Gabrys
2020-06-12T06:01:13Z
置信度 0.70
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Texture feature extraction and description is one of the important research contents in content-based medical image retrieval. The chapter first proposes a framework of content-based medical image retrieval system. It then analyzes the important texture featur…
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Gang Zhang, Z. M. Ma, Li Yan
2011-05-24T11:40:34Z
置信度 0.70
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N/A
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Gaurab Mainali
2020-11-02T19:31:23Z
置信度 0.70
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Artificial intelligence (AI) has transformed almost all spheres of our life and has the potential to radically alter the field of health care. The increasing availability of healthcare data and rapid development of big data analytic methods has made possible t…
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Hetal Pandya, Tanay Pandya
2023-01-24T07:53:14Z
置信度 0.70
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Abdullah, Kamran Shaukat, Zulaikha Fatima, Tony Jan
2026-07-14T22:06:17Z
置信度 0.70
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crossref
Yuena Jiang, Yanxun Chang
2025-11-20T16:29:30Z
置信度 0.70
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crossref
2022-12-29T16:02:35Z
置信度 0.70
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Abstract The adoption of new digital technologies offer new opportunities and has the scope to engender positive effects on firms' expansion and success in international markets. This paper examine the main factors driving the adoption of Artificial Intelligen…
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Natalia Barbosa
2023-12-11T11:35:03Z
置信度 0.70
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Anke Meyer-Bäse, Karsten Jancke, Axel Wismüller, Simon Foo 等
2004-12-15T19:01:49Z
置信度 0.70
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Background: Artificial intelligence (AI) is seen as one of the major disrupting forces in the future healthcare system.However, the assessment of the value of these new technologies is still unclear, and no agreed international health technology assessment-bas…
crossref
Iben Fasterholdt, Mohammad Naghavi-Behzad, Benjamin S. B. Rasmussen, Tue Kjølhede 等
2023-01-23T13:03:18Z
置信度 0.70
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BACKGROUND In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient’s response to ovarian …
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Rawan AlSaad, Alaa Abd-alrazaq, Fadi Choucair, Arfan Ahmed 等
2024-07-05T15:03:26Z
置信度 0.70
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A revolution in the understanding and implementation of an artificially intelligent virtuous computer concerning the recently issued U.S. patent entitled: Inductive Inference Affective Language Analyzer Simulating Artificial Intelligence (patent No. 6,587,846)…
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John Lamuth
2010-09-03T15:55:51Z
置信度 0.70
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The World-Wide Web (WWW) is increasingly being used as a platform to develop distributed applications, particularly in contexts, such as medical ones, where high usability and availability are required. In this paper we propose a methodology for the developmen…
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A. Riva, R. Bellazzi, G. Lanzola, M. Stefanelli
2002-07-25T19:37:38Z
置信度 0.70
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crossref
John F. Sowa
2003-03-14T08:02:52Z
置信度 0.70
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Swift evolution of novel computing and communication technologies in beyond 5G networks (B5G) opens up the possibilities for advanced techniques to tackle various issues which can not be solved by the existing frameworks. As the number of devices continuously …
crossref
Nitin Gupta, Uttam Ghosh
2022-04-13T01:25:12Z
置信度 0.70
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Get your research seenMake an impact with these nine promotional tools. SEO• Use relevant keywords to make your title and abstract clear and easy to search for.• Off-page SEO strategies, like link building, can help get your paper seen. Conferences• Whether yo…
crossref
2021-07-15T17:02:46Z
置信度 0.70
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crossref
2025-10-01T00:07:48Z
置信度 0.70
-
crossref
David López-Villanueva
2025-09-02T08:05:04Z
置信度 0.70
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crossref
Ziyang Wang, Chen Yang
2024-02-24T06:49:05Z
置信度 0.70
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Roy Rada, Judith Barlow, Pieter Zanstra, Pieter de Vries Robbe 等
2004-04-23T09:53:05Z
置信度 0.70
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Tiziano Passerini, Yitong Yang, Teodora Chitiboi, John N. Oshinski
2022-04-22T01:03:34Z
置信度 0.70
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Objective We discuss the usefulness of rule interestingness measures for medical KDD through experiments using clinical datasets, and, based on the outcomes of these experiments, also consider how to utilize these measures in postprocessing. Methods and materi…
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Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi 等
2007-09-12T07:21:58Z
置信度 0.70
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The article is devoted to the development and scientific justification of an integrated conceptual model of artificial intelligence (AI)-driven decision support systems for predictive maintenance and diagnostics of medical devices. It critically analyzes the u…
crossref
Kovalevskyy S
2025-10-14T07:59:51Z
置信度 0.70
-
crossref
Kurt VanLehn
2003-03-14T13:02:52Z
置信度 0.70
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Background: Postoperative management of the neonate following the Norwood operation is among the most complex and challenging in pediatric critical care and high mortality remains. Artificial intelligence (AI) is poised to assist in monitoring of this complex …
crossref
Alaa Aljiffry, Yanbo Xu, Shenda Hong, Justin B. Long 等
2023-11-20T09:51:55Z
置信度 0.70
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Livia Marchitelli, Federica Catapano, Giulia Cundari, Marco Francone
2022-04-22T01:03:34Z
置信度 0.70
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The "River Publishers Series in Communications and Networking" is a series of comprehensive academic and professional books which focus on communication and network systems.Topics range from the theory and use of systems involving all terminals, computers, and…
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Ovidiu Vermesan, Dave Marples
2023-11-10T13:25:30Z
置信度 0.70
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crossref
K.J. MacCallum
2003-03-14T13:02:52Z
置信度 0.70
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UNSTRUCTURED
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Alaa Abd-alrazaq, Rawan AlSaad, Sarah Aziz, Arfan Ahmed 等
2023-02-02T19:44:22Z
置信度 0.70
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crossref
2003-03-14T13:02:52Z
置信度 0.70
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In this paper we present a data dictionary server for the automated navigation of information sources. The underlying knowledge is represented within a medical data dictionary. The mapping between medical terms and information sources is based on a semantic ne…
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W. Ruan, T. Bürkle, J. Dudeck
2002-07-25T23:37:38Z
置信度 0.70
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crossref
Hui-Xiong Xu, Yu-Ting Shen, Bo-Yang Zhou, Chong-Ke Zhao 等
2024-08-02T00:02:50Z
置信度 0.70
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Background: Pain is one of the most common and debilitating symptoms in cancer patients. Despite accurate assessment is fundamental for pain treatment, unidimensional and multidimensional subjective instruments have important limitations. This article aims to …
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Francesco Cutugno, Marco Cascella
2025-01-23T07:09:28Z
置信度 0.70
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Introduction Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or reminder rules, d…
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Alexander Seitinger, Andrea Rappelsberger, Harald Leitich, Michael Binder 等
2016-08-12T17:45:25Z
置信度 0.70
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Objective The objective of this paper is to classify 3D medical images by analyzing spatial distributions to model and characterize the arrangement of the regions of interest (ROIs) in 3D space. Methods and material Two methods are proposed for facilitating su…
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Dragoljub Pokrajac, Vasileios Megalooikonomou, Aleksandar Lazarevic, Despina Kontos 等
2004-12-14T10:22:01Z
置信度 0.70
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crossref
2020-06-01T20:30:14Z
置信度 0.70
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<div class="section abstract"> <div class="htmlview paragraph">This SAE Technical Information Report identifies use cases for AI technology applications to ground vehicles and transportation infrastructure. Whenever applicable, functional definitio…
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2025-02-28T21:15:49Z
置信度 0.70
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The discovery of new knowledge by mining medical databases is crucial in order to make an effective use of stored data, enhancing patient management tasks. One of the main objectives of data mining methods is to provide a clear and understandable description o…
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Miguel Delgado, Daniel Sánchez, Marı́a J Martı́n-Bautista, Marı́a-Amparo Vila
2002-07-25T18:16:42Z
置信度 0.70
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Chun Li, Qiule Sun, Muqing Zhang, Jianxin Zhang
2025-05-21T06:04:48Z
置信度 0.70
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This paper offers a critical review of the applications of AI in cybersecurity, focusing on the recent trends of automation in threat detection, enhancement of response strategies, and prediction of vulnerabilities. The methodology is based on a thorough analy…
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Maria Mpitsi
2025-06-09T06:37:45Z
置信度 0.70
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Libraries are saddled with the responsibility of providing information resources and services to their users, considering their preference for more digital content as well as quick and unrestricted access. Artificial Intelligence (AI) has emerged as a transfor…
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Nwobu, Nwobu,
2026-06-03T04:21:55Z
置信度 0.70
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In this paper, we investigate the enhancement of Artificial Intelligence (AI) technologies in healthcare and the better understanding of medical literature with the use of Large Language Models (LLMs) and Natural Language Processing (NLP). Specifically, we int…
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Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis
2023-12-20T19:19:02Z
置信度 0.70
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Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet with change coming at breakneck speed, the time to identify your company’s AI strategy is now. MIT S…
crossref
2026-05-18T13:39:42Z
置信度 0.70
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Introduction: Introduction: The integration of artificial intelligence (AI) within management information systems (MIS) has become a significant focus in modern organizational research and practice. This systematic review consolidates existing knowledge on thi…
crossref
2025-09-05T09:41:25Z
置信度 0.70
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crossref
Nagaraj Yamanakkanavar, Bumshik Lee
2022-06-10T18:52:49Z
置信度 0.70
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Artificial intelligence is a broad field that comprises a wide range of techniques, where deep learning is presently the one with the most impact. Moreover, the medical field is an area where data both complex and massive and the importance of the decisions ma…
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Alberto Nogales, Álvaro J. García-Tejedor, Diana Monge, Juan Serrano Vara 等
2021-01-18T01:29:02Z
置信度 0.70
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crossref
2025-01-21T16:17:26Z
置信度 0.70
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crossref
Biljana Rondovic
2022-10-18T11:12:36Z
置信度 0.70
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crossref
2025-03-21T17:04:03Z
置信度 0.70
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crossref
Marcin Pełka
2022-10-03T15:20:13Z
置信度 0.70
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crossref
2026-06-10T21:05:57Z
置信度 0.70
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crossref
2025-05-25T06:28:41Z
置信度 0.70
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Marut Jindal, Birmohan Singh
2025-03-21T13:43:21Z
置信度 0.70
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Somayeh Farahani, Sidong Liu
2025-11-05T06:04:55Z
置信度 0.70
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ECG monitoring system value chain research and analysis helps to understand the value and contribution of each process in the system, the best practices that each process can adopt, and the goal of the whole system to ensure better diagnosis of disease goal. T…
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Nizar Sakli, Chokri Baccouch, Ben Othman Soufiene, Chinmay Chakraborty 等
2023-01-13T08:59:26Z
置信度 0.70
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crossref
2025-10-01T00:07:48Z
置信度 0.70
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Abstract Background Artificial intelligence (AI) is seen as one of the major disrupting forces in the future healthcare system. However, the assessment of the value of these new technologies is still unclear, and no agreed international health technology asses…
crossref
Iben Fasterholdt, Mohammad Naghavi-Behzad, Benjamin S. B. Rasmussen, Tue Kjølhede 等
2022-10-31T10:02:56Z
置信度 0.70
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BACKGROUND Large language models (LLMs) have demonstrated significant potential in diverse domains, including medicine. Nonetheless, there is a scarcity of studies examining their performance in medical examinations, especially those conducted in languages oth…
crossref
Jonas Roos, Adnan Kasapovic, Tom Jansen, Robert Kaczmarczyk
2023-09-04T13:15:39Z
置信度 0.70
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Xiaojia Zhu, Rui Chen, Xiaoqi Guo, Zhiwen Shao 等
2025-01-16T08:31:06Z
置信度 0.70
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Background Artificial intelligence (AI) is increasingly applied to mental health research, but internal performance does not establish clinical or public health readiness. Objective To synthesise this regional AI literature and assess validation, reporting tra…
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Erwin Yudi Hidayat, Azah Kamilah Muda
2026-06-22T16:35:40Z
置信度 0.70
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Explainable Artificial Intelligence (XAI) is crucial for enhancing transparency and trustworthiness, as well as for developing AI-based diagnostic systems in medical imaging to achieve clinical acceptability and reliability. This synthesis aligns with the curr…
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Fahad Ahmed, Naila Sammar Naz, Sunawar Khan, Ateeq Ur Rehman 等
2026-01-05T18:51:53Z
置信度 0.70
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crossref
2024-04-16T20:30:50Z
置信度 0.70
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Sanne G. M. van Velzen, Nils Hampe, Bob D. de Vos, Ivana Išgum
2022-04-22T01:03:34Z
置信度 0.70
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crossref
Pushpanjali Gupta, Prasan Kumar Sahoo
2023-01-09T08:03:57Z
置信度 0.70
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This paper explores the presentation of tomographic medical images on a computer screen. Limitations of the computer screen are apparent, as even a very large computer monitor cannot display an entire study consisting of dozens of images at once. Our objective…
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Johanna E. van der Heyden, Kori M. Inkpen, M.Stella Atkins, M.Sheelagh T. Carpendale
2002-07-25T21:53:17Z
置信度 0.70
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Objectives This study aimed to gain insights into the potential of using evidence from artificial intelligence (AI) in nursing support for clinical practice and decision-making and its implications for future studies. Methods This was a rapid review of the lit…
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Yoshiyasu Ito, Kohei Kajiwara, Jun Kako, Masamitsu Kobayashi 等
2025-08-19T16:33:36Z
置信度 0.70
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BACKGROUND As medicine and the delivery of healthcare enters the age of Artificial Intelligence (AI), the need for competent human–machine interaction to aid clinical decisions will rise. Medical students need to be sufficiently proficient in AI, its advantage…
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Joel Grunhut, Adam TM Wyatt, Oge Marques
2021-09-06T05:56:22Z
置信度 0.70
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Objectives The challenges in diagnosing keratoconus (KC) have led researchers to explore the use of artificial intelligence (AI) as a diagnostic tool. AI has emerged as a new way to improve the efficiency of KC diagnosis. This study analyzed the use of AI as a…
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Azzahra Afifah, Fara Syafira, Putri Mahirah Afladhanti, Dini Dharmawidiarini
2024-01-01T15:49:03Z
置信度 0.70
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Abstract This study explores the impact of artificial intelligence (AI) and automation technologies on the professional authority of physicians in G20 countries. By analyzing panel data from 2015 to 2022, the research investigates how the adoption of digital h…
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Abderahmane Djerfi
2025-11-24T09:27:54Z
置信度 0.70
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Background/Objectives: Early diagnosis of periodontitis remains challenging using traditional clinical methods. This systematic review and meta-analysis evaluated the diagnostic accuracy of artificial intelligence (AI) models trained on non-invasive or minimal…
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Carlos M. Ardila, Anny M. Vivares-Builes, Pradeep Kumar Yadalam
2025-09-01T08:28:15Z
置信度 0.70
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crossref
M.A. Rosenman
2003-03-14T08:02:52Z
置信度 0.70
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crossref
2003-09-12T13:20:58Z
置信度 0.70
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crossref
2025-10-21T22:58:33Z
置信度 0.70
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crossref
2025-05-13T17:13:03Z
置信度 0.70
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Potential competing interests: No potential competing interests to declare.This paper presents an application of machine learning to supply chain fraud.The authors use a large dataset and try three different types of models on the data: logistic regression, ra…
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Suryoday Basak
2022-11-17T16:54:43Z
置信度 0.70
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Traditional Chinese medicine (TCM) as a complete knowledge system researches into human health conditions via a different approach compared to orthodox medicine. We are developing a unified traditional Chinese medical language system (UTCMLS) through an ontolo…
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Xuezhong Zhou, Zhaohui Wu, Aining Yin, Lancheng Wu 等
2004-08-18T13:05:21Z
置信度 0.70
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This research suggests an approach constructed on the connotation of plithogenic theory and VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje) technique to come up with a methodical procedure to assess the infirmary serving under a framework of plith…
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Mohamed Abdel-Basset, Mohamed El-hoseny, Abduallah Gamal, Florentin Smarandache
2019-08-31T10:54:52Z
置信度 0.70
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crossref
Frederick Hayes-Roth
2003-03-14T13:02:52Z
置信度 0.70
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The medical visual question answering (MVQA) system takes the advantage of both computer vision (CV) and natural language processing (NLP) to accept the medical image and corresponding question as input and generates the respective answer as output. One step f…
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Sheerin Sitara Noor Mohamed, Kavitha Srinivasan, Raghuraman Gopalsamy
2025-06-06T11:59:47Z
置信度 0.70
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BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare, raising new ethical challenges related to patient rights, transparency, and fairness. Nursing students must therefore develop competencies not only in digital and cognitive skills but…
crossref
Chohee Bang, Yujin Hur
2026-04-02T01:16:12Z
置信度 0.70
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crossref
Akanksha Dwivedi, Roohi Yusufi, Anuradha Derashri, Disha Sharma 等
2025-12-05T11:02:04Z
置信度 0.70
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With the rapid development of modern medical imaging technology, medical image classification has become more and more important in medical diagnosis and clinical practice. Conventional medical image classification algorithms usually neglect the semantic gap p…
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Ruijie Zhang, Jian Shen, Fushan Wei, Xiong Li 等
2017-05-30T08:46:56Z
置信度 0.70
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Abstract Background Accurate diagnosis and early treatment are essential in the fight against lymphatic cancer. The application of artificial intelligence (AI) in the field of medical imaging shows great potential, but the diagnostic accuracy of lymphoma is un…
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Anying Bai, Mingyu Si, Peng Xue, Yimin Qu 等
2024-01-08T13:02:27Z
置信度 0.70
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Background Accurately forecasting patient arrivals in hospital emergency departments (EDs) is critical for hospital capacity and planning and clinical decision-making. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has…
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Jorge Blanco, Marina Ferreras, Oscar Cosido
2025-12-13T23:36:27Z
置信度 0.70
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Artificial intelligence (AI) is rapidly transforming modern dentistry, offering new opportunities to enhance diagnostic accuracy, treatment outcomes, and clinical efficiency. This narrative review delves into current AI applications across dental specialties s…
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Ralitsa Bogovskagigova
2025-05-10T11:54:12Z
置信度 0.70
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Objective In this paper, we aim at defining a general-purpose data model and query language coping with both "telic" and "atelic" medical data. Background In the area of Medical Informatics, there is an increasing realization that temporal information plays a …
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Paolo Terenziani, Richard T. Snodgrass, Alessio Bottrighi, Mauro Torchio 等
2006-10-06T12:59:46Z
置信度 0.70
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Purpose This study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curri…
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George Doumat, Darine Daher, Nadim-Nicolas Ghanem, Beatrice Khater
2022-11-02T13:34:47Z
置信度 0.70
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Digitization is a major theoretical proposition for contemporary development in China, greatly promoting the breadth and depth of medical education research. Artificial intelligence is an important carrier for the implementation of digitization. In order to sy…
crossref
Lei Zhai
2025-01-13T13:37:20Z
置信度 0.70
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crossref
Ayman Elsaid Ammar, Abd El Fattah El Atik
2026-07-13T00:55:54Z
置信度 0.70