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• Artificial Intelligence in European social security administration: Regulatory frameworks and implications
  This chapter analyses how Artificial Intelligence (AI) is being integrated into European social security administration, with a specific focus on the normative EU framework shaping such integration. The chapter starts by examining the key forces driving this c…
  crossref Alberto Barrio Fernández 2026-06-02T17:11:11Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE USAGE IN THE POSTNATAL PERIOD
  crossref ŞENGÜL YAMAN SÖZBİR 2026-03-30T14:47:58Z 置信度 0.70
• Advancements in Embedded Neurorehabilitation: Integrating Robotics, Artificial Intelligence, and Virtual Reality for Upper Limb Recovery in Children with Cerebral Palsy
  Cerebral palsy (CP) remains one of the most common motor disabilities in childhood, often leading to significant impairments in upper limb function that affect activities of daily living (ADLs). This study introduces an innovative embedded neurorehabilitation …
  crossref Mohammed Elsaeh 2026-03-20T17:56:16Z 置信度 0.70
• English Is Not Neutral: Implications for Evaluating Artificial Intelligence in Medical Writing
  Based on my decades-long experience in medical writing, I have come to believe that the use of artificial intelligence (AI) may unintentionally enlarge the imbalance between native and non-native English speakers in academic publishing. For many years, I have …
  crossref Shigeki Matsubara 2026-04-23T06:48:42Z 置信度 0.70
• A Survey on Artificial Intelligence and Machine Learning Approaches for Medical Data Authentication
  Most medical image interpretations are traditionally handled by radiologists and doctors. But recently, researchers and medical professionals have started to utilize computer-assisted interventions due to significant pathological diversity and potential expert…
  crossref B. Madhushree, A. V. Senthil Kumar, H. R. Chennamma 2024-11-19T14:08:57Z 置信度 0.70
• PMFSNet from Scratch: Evaluating Lightweight Backbone Efficiency for Medical Image Segmentation
  Medical image segmentation functions as an essential tool for both clinical diagnosis and treatment preparation. Deep learning models achieve better segmentation accuracy but their high computational needs restrict their deployment in real-time or edge-device …
  crossref Mina Kamel, Ahmed Fathy El Nokrash, Mai Mohamed Said 2026-06-02T20:03:34Z 置信度 0.70
• Engaging Teachers in an Inclusive Learning Environment through Implementing an Artificial Intelligence Literacy Curriculum for the Next Generation
  Teachers play a critical role in developing students’ knowledge, skills, and readiness for an increasingly technology-driven world. As artificial intelligence (AI) becomes embedded in daily life and across professional domains, students must develop AI literac…
  crossref Xiaoxue Du 2026-01-07T10:18:22Z 置信度 0.70
• Case-based prediction in experimental medical studies
  Case-based approaches predict the behaviour of dynamic systems by analysing a given experimental setting in the context of others. To select similar cases and to control adaptation of cases, they employ general knowledge. If that is neither available nor induc…
  crossref A. Seitz, A.M. Uhrmacher, D. Damm 2002-07-25T14:51:33Z 置信度 0.70
• FDA Authorizes Marketing of First Cardiac Ultrasound Software That Uses Artificial Intelligence to Guide User
  crossref 2020-02-07T18:45:32Z 置信度 0.70
• The Use of Explainable Artificial Intelligence in Medical Image Processing
  Today, the processing and interpretation of medical images contribute significantly to the processes of diagnosis and therapy. However, due to their complexity and great dimensionality, it is challenging for experts to generate findings that can be relied upon…
  crossref Remzi Gürfidan, Bekir Aksoy, Mevlüt Ersoy, Enes Açıkgözoğlu 等 2024-04-11T11:16:41Z 置信度 0.70
• Privacy-preserving Deep Learning in Medical Imaging: Feasibility and Challenges
  crossref Felix Busch, Lisa C. Adams 2025-10-08T13:51:32Z 置信度 0.70
• Integrating Artificial Intelligence into Medical Physics Practice: Promises and Ethical Considerations
  Artificial intelligence (AI) techniques such as deep learning show great potential to enhance medical physics practice by supporting diagnosis, treatment planning, and other clinical tasks. However, responsible integration of AI requires consideration of both …
  crossref Makoye John, Rose Mina 2025-09-10T01:32:56Z 置信度 0.70
• Application of Artificial Intelligence in Abdominal Imaging
  crossref Ma Xiaohong, Feng Bing, Zhang Qi, Li Dengfeng 等 2024-08-02T00:02:50Z 置信度 0.70
• Introduction: Artificial Intelligence (AI) and P4 Medicine in the Twenty-First Century
  crossref Rafaella Nogaroli 2025-07-31T06:05:29Z 置信度 0.70
• Our Changing World: New Trends in Social Sciences and Artificial Intelligence
  crossref Semih Sefer 2026-06-11T11:32:01Z 置信度 0.70
• Physics-informed data-driven model for the prediction of river water temperature
  crossref Huajian Yang, Xinhua Xue 2026-03-07T01:36:25Z 置信度 0.70
• Blockchain–IoT–AI Framework for Quality Traceability
  This chapter proposes an integrated Blockchain–IoT–AI framework for secure and intelligent quality traceability, particularly in agricultural and rice supply chains. It explains how IoT sensors can continuously collect physical and environmental information, A…
  crossref Goldy Soni 2026-08-13T13:24:13Z 置信度 0.70
• The representation of medical reasoning models in resolution-based theorem provers
  First-order predicate logic essentially is a language to express knowledge concerning objects and relationships between objects in a domain. Many medical problems can be cast naturally in such terms. In this paper the suitability of logic as a knowledge-repres…
  crossref Peter Lucas 2004-04-23T09:53:05Z 置信度 0.70
• Review of Artificial Intelligence methods for detecting cancer in medical image processing
  Cancer is the unchecked spread of aberrant cells throughout the body. Cancer is a general word for a set of diseases brought on by the growth of abnormal cells in various bodily parts. Lung cancer, breast cancer, skin cancer, oral cancer, colon cancer, and pro…
  crossref Priya Sarkar, Ashim Saha 2023-03-27T18:31:07Z 置信度 0.70
• Explainable Artificial Intelligence-based framework for medical decision support systems
  The rise in death tolls due to increased infectious diseases has become one of the most severe health problems and the largest source of death globally. Artificial Intelligence (AI)-based models have emerged and developed to assist medical experts in decision-…
  crossref Joseph Bamidele Awotunde, Oluwafisayo Babatope Ayoade, Panigrahi Ranjit, Amik Garg 等 2022-11-23T03:11:32Z 置信度 0.70
• Artificial intelligence in genomics
  The advancement in sequencing techniques has led to huge data generation. Querying information from this data has become a major challenge. Artificial intelligence (AI) has become a powerful tool in the field of genomics. The advancements in sequencing technol…
  crossref Rashmi Rameshwari, Adhikarka Syama, Srinivasan Ramachandran, Devendra Kumar Verma 等 2026-02-02T14:23:57Z 置信度 0.70
• Advancing radiological AI: From robust foundations to clinical readiness
  The sixth issue of the European Journal of Radiology Artificial Intelligence (EJR AI) reflects a field that is moving from technical ambition towards clinical accountability. This issue therefore tells a broader story. Innovation remains essential, but innovat…
  crossref Matthias Dietzel, Pascal A.T. Baltzer 2026-05-16T02:06:15Z 置信度 0.70
• Cracking the Registration Conundrum in Breast MRI: Preserving the Tumor Signal to Reveal True Treatment Change
  crossref Fan Zhang 2026-06-24T13:51:47Z 置信度 0.70
• Artificial intelligence enabled food quality assessment through digital sensing and explainable analytics
  Ensuring food quality and safety has become increasingly challenging due to globalization of food supply chains, rising food adulteration, increasing consumer expectations, and stringent regulatory requirements. Conventional food quality assessment methods are…
  crossref Suraja Parida, Sanjukta Dasgupta 2026-07-26T08:54:22Z 置信度 0.70
• Artificial intelligence and the reconfiguration of competency management systems in organizations
  Artificial intelligence (AI) is reshaping work and human resource management, yet existing reviews largely treat competencies as secondary outcomes of AI adoption and offer limited theory-driven integration of how competency management itself is transforming. …
  crossref Maryann Osadebamwen Asemota 2026-08-24T06:51:05Z 置信度 0.70
• Exploring the relationship between empowerment in using artificial intelligence for problem-solving and artificial intelligence ethical awareness: Multi-group structural equation modelling
  While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing stude…
  crossref Siu Cheung Kong, Jinyu Zhu 2026-02-08T07:09:28Z 置信度 0.70
• Artificial intelligence assisted ultrasound report generation
  Artificial intelligence (AI) assisted ultrasound report generation represents a technology that leverages artificial intelligence to convert ultrasound imaging analysis results into structured diagnostic reports. By integrating image recognition and natural la…
  crossref Jia-Hui Zeng, Kai-Kai Zhao, Ning-Bo Zhao 2025-06-06T00:47:13Z 置信度 0.70
• Evaluation of Vaccination Strategies in an Agent-Based SEIRV Epidemic Model
  crossref Marius Gavrilescu 2026-05-27T23:47:12Z 置信度 0.70
• Artificial Intelligence, Computational Intelligence and Inclusive Technologies
  crossref K. V. Sambasivarao, Anasuya Sesha Roopa Devi Bhima 2026-01-29T14:21:15Z 置信度 0.70
• Becoming Sensate
  When thought discovers touch, intelligence remembers it has a body.
  crossref Rocky Scopelliti 2026-07-09T15:17:08Z 置信度 0.70
• Software as a Medical Practitioner—Is It Time to License Artificial Intelligence?
  This Viewpoint explores the application of a licensure paradigm to clinical artificial intelligence systems.
  crossref Eric Bressman, Carmel Shachar, Ariel D. Stern, Ateev Mehrotra 2025-11-17T16:31:20Z 置信度 0.70
• Neuro-Symbolic Agentic Framework for Decoupled Perception and Clinical Reasoning in Medical AI
  Deep learning models show great promise in medical image analysis and clinical decision support, but their deployment is often limited by their “black-box” nature and lack of transparency. This issue is especially critical in data-scarce environments, where mo…
  crossref Morris Jhennong Chen, Ya-Ning Chang 2026-05-06T19:38:02Z 置信度 0.70
• A Multi-class Obesity Risk Prediction Using Machine Learning and Explainable Artificial Intelligence
  Because of the intricate relationships between dietary practices, physical characteristics, and lifestyle, weight-related health issues have grown to be a global concern. The shortcomings of current machine learning (ML) techniques include inefficient feature …
  crossref Tarequl Hasan Sakib, Mahfuzulhoq Chowdhury 2026-02-25T06:48:33Z 置信度 0.70
• Personalized Mathematics Instruction through Artificial Intelligence
  Artificial intelligence (AI) technologies are increasingly transforming educational practices, particularly in mathematics instruction. Traditional one-size-fits-all models often fail to accommodate diverse learner needs, resulting in disengagement and uneven …
  crossref Gunay Huseynzada, James Ong, Healy Jean 2026-08-02T17:51:05Z 置信度 0.70
• The Efficiency of Using Artificial Intelligence Technology in Depicting Cancerous Lesions on Mammograms: How Accurate is it?
  crossref DALIA S. ELMESIDY*; SALY EMAN BADAWY* 2026-06-24T12:25:46Z 置信度 0.70
• A Technical Overview of Machine Learning and Artificial Intelligence for Bible Translation
  crossref Marcus Schwarting 2026-02-27T10:31:32Z 置信度 0.70
• SWARM ARTIFICIAL INTELLIGENCE IN HEALTHCARE AND MEDICINE
  Swarm AI enables decentralized, self-organizing medical systems to produce collective solutions without central control. In these systems, multiple intelligent agents follow simple predefined rules, communicate with nearby agents, and respond to local environm…
  crossref Evgeny Bryndin 2026-05-27T06:43:18Z 置信度 0.70
• Engineering for the Artificial Intelligence Demand: Curriculum Development of a New Artificial Intelligence Engineering Degree
  crossref Bradley Sottile, Robert Rabb 2026-08-21T13:35:24Z 置信度 0.70
• The Role of an Artificial Intelligence Ecosystem in Radiology
  crossref Bibb Allen, Robert Gish, Keith Dreyer 2019-01-29T09:16:52Z 置信度 0.70
• Artificial Intelligence and the health workforce
  Healthcare has progressed through advancements in medicine, leading to improved global life expectancy. Nevertheless, the sector grapples with increasing challenges such as heightened demand, soaring costs, and an overburdened workforce. Factors contributing t…
  crossref Margarita Almyranti, Eric Sutherland, Nachman Ash, Dr., Samuel Eiszele 2024-11-20T03:48:22Z 置信度 0.70
• Substituting clinical features using synthetic medical phrases: Medical text data augmentation techniques
  Biomedical natural language processing (NLP) has an important role in extracting consequential information in medical discharge notes. Detecting meaningful features from unstructured notes is a challenging task in medical document classification. The domain sp…
  crossref Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh 等 2021-09-10T02:14:18Z 置信度 0.70
• Medical Robots based on Artificial Intelligence in the Medical Education
  With the rapid development of artificial intelligence, more and more scientific and technological achievements in the information age have been widely used in various fields of society. At the same time, the rapid development of intelligence has also continuou…
  crossref Junxi Chen, Xiying Zhan, Yuping Wang, Xuping Huang 2021-09-15T17:00:34Z 置信度 0.70
• Latest Advancement in Medical Surgery using Artificial Intelligence
  Recent advancements in artificial intelligence (AI) have significantly enhanced the use of computer vision, machine learning, natural language processing, augmented reality, and deep learning in surgical video analysis. Laparoscopic procedures generate vast am…
  crossref Priyanka Anup Ujjainkar, Shital A. Raut 2025-02-21T18:37:11Z 置信度 0.70
• Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course
  Introduction Artificial intelligence (AI) is increasingly transforming radiography practice, creating a need for radiography students to develop foundational AI literacy. While it is acknowledged that AI is gaining momentum in radiography education and trainin…
  crossref Alan Wang, Beau Pontre, Sibusiso Mdletshe 2026-02-05T13:49:14Z 置信度 0.70
• Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses
  Objective In pattern recognition and medical diagnosis, similarity measure is an important mathematical tool. To overcome some disadvantages of existing cosine similarity measures of simplified neutrosophic sets (SNSs) in vector space, this paper proposed impr…
  crossref Jun Ye 2014-12-26T11:47:32Z 置信度 0.70
• Artificial Intelligence Meets Entrepreneurship
  Entrepreneurship is changing like never before with the innovation of technology and data-driven methods in the digital world. All these emerging technologies – artificial intelligence (AI) is one of the differentiating tools enable businesspersons to study th…
  crossref Apoorba Mukherjee, Hriday Pratim Barman, Renu Girotra 2026-08-20T02:57:32Z 置信度 0.70
• Editors’ introduction: artificial intelligence and strategy—charting new frontiers
  crossref Felipe A. Csaszar, Nan Jia 2026-03-25T21:04:03Z 置信度 0.70
• 12 Flight and Life: Two Analogies for Thinking About Artificial Intelligence
  crossref 2026-03-05T15:17:22Z 置信度 0.70
• Bias, fairness, and equity in artificial intelligence systems used in dental imaging: A systematic review
  Background Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decision-support system. Although reported diagnostic accuracies are high, limited attention has been paid to bias, f…
  crossref P Suganya, Pavani Dupada, K.G Sruthi, Paramjot Panda 等 2026-04-07T23:31:08Z 置信度 0.70
• Risk Assessment of Digital Twin Models
  crossref Miruna-Elena Iliuță, Damien Trentesaux, Mihnea-Alexandru Moisescu 2026-05-27T23:24:43Z 置信度 0.70
• Breast cancer detection from mammograms using artificial intelligence
  crossref Abdulhamit Subasi, Aayush Dinesh Kandpal, Kolla Anant Raj, Ulas Bagci 2023-01-20T15:22:07Z 置信度 0.70
• Potential Applications of Artificial Intelligence in Medical Imaging and Health Care Industry
  In an attempt to transform the world, artificial intelligence (AI) has set foot into every field, including medicine. Diagnostic imaging, which constitutes a major part in identifying underlying defects and deciding the type of treatment, plays a vital role in…
  crossref T. Venkat Narayana Rao, K. Sarvani, K. Spandana 2021-10-05T17:24:36Z 置信度 0.70
• AIoT: Bridging the gap between artificial intelligence and the internet of things
  An overview of the advancements and challenges in the arti cial intelligence of things (AIoT) elds, focusing on various applications in agriculture, pandemic prevention, algae farming, livestock surveillance, and the smart supply chain, was summarized.It highl…
  crossref Hasyiya Karimah Adli 2024-03-01T00:56:17Z 置信度 0.70
• Integration of Artificial Intelligence into Maritime Safety Regulation
  This chapter examines how artificial intelligence technologies can be incorporated into the existing international and national maritime regulatory framework in order to strengthen the protection of human life at sea. Through a structured review of prior scien…
  crossref Manuel Vázquez Neira, Genaro Cao Feijóo, José A. Orosa 2026-07-22T13:41:11Z 置信度 0.70
• Analysis of Artificial Intelligence Techniques for Autism Detection
  Autism spectrum disorder (ASD) is a neurological condition that notably impedes the mental development of affected individuals. Screening for autism has evolved through various stages over the years, transitioning from traditional questionnaires and tests to a…
  crossref J. Saira Banu, T Mythili, Pradyumna Kunchala, Abhik Goswami 2026-04-07T13:37:35Z 置信度 0.70
• Artificial Intelligence and an Overview of Selected Solutions for Creating Positive Climate Changes
  Climate change should be perceived and interpreted as a strategic factor multiplying various types of hazards that amplifies existing trends and tendencies, tensions and situations of instability around the world. Climate change is a highly problematic issue t…
  crossref Adam Jabłoński, Marek Jabłoński 2026-03-05T16:00:21Z 置信度 0.70
• The Role of Artificial Intelligence in Transforming Entrepreneurs’ Strategic Decisions
  In a globalized economic environment characterized by rapid transformation, intensified competition, and growing uncertainty, entrepreneurs face increasingly complex decision-making challenges. These conditions demand strategic choices that are rapid, precise,…
  crossref Fatma Chikhaoui 2026-08-18T03:03:50Z 置信度 0.70
• The impact of integrating artificial intelligence into regulatory affairs functions in the Medtech industry
  Introduction Artificial intelligence is becoming an important tool in the medical technology industry where its implementation has the potential to streamline processes and provide rapid and efficient data analysis and interpretation in the regulatory affairs …
  crossref Renee Cotta, Mary Garvey, Olivia McDermott 2026-04-13T12:21:03Z 置信度 0.70
• Advancements in medical imaging: Harnessing artificial intelligence for early disease detection and diagnosis
  crossref Vandana Singh, Amit Pratap Singh Chouhan, Shikha Singh, Pankaj Dutt 等 2026-05-01T08:46:48Z 置信度 0.70
• Efectividad de la inteligencia artificial en el diagnóstico médico por imágenes: Una revisión sistemática
  This article aimed to analyze the effectiveness of artificial intelligence (AI) in medical imaging diagnosis through a systematic review of scientific literature published between 2021 and 2025. The integration of AI algorithms into clinical practice transform…
  crossref Narda Guerrero Meza, Edgar Saúl Reyes Mauricio, Joel David Bastidas Jimbo 2026-02-26T14:38:40Z 置信度 0.70
• Structure discovery in medical databases: a conceptual clustering approach
  Clustering is an important data analysis tool for discovering structure in data sets. Although research on conceptual clustering has produced algorithms showing significant advantages over earlier numerical ones, existing methods still present some limitations…
  crossref Francisco Alte da Veiga 2002-07-25T11:20:41Z 置信度 0.70
• Operating Artificial Intelligence to Assist Physicians Diagnose Medical Images: A Narrative Review
  Medical image diagnostics is crucial to healthcare since it aids in the diagnosis and treatment of a variety of diseases and conditions. However, the process is time-consuming and prone to human error. In recent years, artificial intelligence has been a powerf…
  crossref Oluwaseun Adelaja, Hussein Alkattan 2023-11-24T11:41:24Z 置信度 0.70
• Detecting colorectal polyps with use of artificial intelligence
  Colorectal cancer (CRC) is a major cause of cancer-related mortality in most countries. Colonoscopy during which all neoplastic and pre-malignant polyps (e.g., adenomas) are eradicated is considered beneficial in decreasing the incidence of CRCs and their asso…
  crossref Yuichi Mori, Shin-ei Kudo, Masashi Misawa 2019-05-24T08:06:15Z 置信度 0.70
• Instance-based classifiers applied to medical databases: Diagnosis and knowledge extraction
  Objective The aim of this paper is to study the feasibility and the performance of some classifier systems belonging to family of instance-based (IB) learning as second-opinion diagnostic tools and as tools for the knowledge extraction phase in the process of …
  crossref Francesco Gagliardi 2011-06-08T17:19:54Z 置信度 0.70
• Sentiment analysis in medical settings: New opportunities and challenges
  Objective Clinical documents reflect a patient's health status in terms of observations and contain objective information such as descriptions of examination results, diagnoses and interventions. To evaluate this information properly, assessing positive or neg…
  crossref Kerstin Denecke, Yihan Deng 2015-05-02T21:24:21Z 置信度 0.70
• TRANSOFT: Medical translation expert system
  crossref G.William Moore, Ichiro Wakai, Yoichi Satomura, Wolfgang Giere 2004-04-21T10:28:17Z 置信度 0.70
• Current trends of artificial intelligence in cancer imaging
  crossref Francesco Verde, Valeria Romeo, Arnaldo Stanzione, Simone Maurea 2020-09-27T09:19:42Z 置信度 0.70
• Role of Artificial Intelligence in Marketing Decision-Making for Customer Personalization
  crossref Kwabena Abrokwah-Larbi 2025-12-17T13:05:45Z 置信度 0.70
• Causally Informed Mortality Prediction in Heart Failure Patients
  crossref Carolina Carvalho, Ricardo Santos, Vânia Guimarães 2026-05-27T23:30:10Z 置信度 0.70
• Unraveling Winter Precipitation Predictability over CONUS via Deep Learning and Explainable Artificial Intelligence
  Abstract Seasonal precipitation variability is among the most consequential aspects of weather and climate, affecting society and regional economies over contiguous United States (CONUS) and around the globe. Better understanding of precipitation predictabilit…
  crossref Antonios Mamalakis 2026-04-21T16:31:35Z 置信度 0.70
• Actions are needed to develop artificial intelligence for glaucoma diagnosis and treatment
  crossref Tae Keun Yoo 2023-07-14T02:31:55Z 置信度 0.70
• Objects, contradictions and collaboration in medical cognition: an activity-theoretical perspective
  Activity theory suggests three principles for contextual analysis of clinical cognition: orientation to objects in cognition, role of contradictions in cognition, and the importance of collaboration in cognition. Focusing on the objects of cognition calls atte…
  crossref Yrjö Engeström 2002-07-26T02:00:28Z 置信度 0.70
• Foundations of Artificial Intelligence and Machine Learning in Modern Healthcare
  The integration of artificial intelligence (AI) and machine learning (ML) into healthcare systems represents a paradigm shift in modern medicine. This chapter provides a comprehensive examination of the foundational elements underpinning AI and ML applications…
  crossref Freeson Kaniwa, Otlhapile Dinakennyane 2026-02-04T09:30:31Z 置信度 0.70
• Artificial intelligence enabled social robotic interventions (PARO) in Australian dementia care: A systematic review and meta-analysis
  Background Although there is a growing body of research indicating that Personal Robot/Social Robot could be used in various aspects of care for individuals with dementia, little is known about how well these types of interventions work in an actual hospital s…
  crossref Syed Haris Omar, Ahsan Ghani, Adla Sanober, Abdullah Umar 2026-07-20T23:11:50Z 置信度 0.70
• Artificial Intelligence in Sonography for Early Detection and Risk Stratification of Vulnerable Carotid Atherosclerotic Plaques: A Systematic Review
  Objective: Artificial intelligence (AI) has emerged as a transformative tool in ultrasound imaging enhancing the accuracy and efficiency of carotid plaque characterization. In addition, AI-driven models facilitate automated analysis reducing interobserver vari…
  crossref Muhammad Zubair 2026-02-27T01:37:34Z 置信度 0.70
• Enhancing Student Exam Preparation with Generative Artificial Intelligence
  crossref Juan Heredia 2026-03-23T12:39:35Z 置信度 0.70
• Artificial Intelligence: A Mediator in Recruitment Marketing
  Artificial Intelligence (AI) has emerged as a formidable catalyst in redefining recruitment marketing, reconfiguring conventional talent acquisition practices into data-driven, technologically mediated processes. By leveraging algorithms, predictive analytics,…
  crossref Jyoti Thakur, Ruchi Sharma 2026-04-13T10:56:30Z 置信度 0.70
• Empirical Study on Artificial Intelligence in Education and Its Influence on Learning Performance and Teaching Efficiency
  The rapid advancement of Artificial Intelligence (AI) has transformed the educational landscape by reshaping how knowledge is delivered, processed, and assessed. This study investigates the relationship between AI adoption and learning effectiveness, focusing …
  crossref Gilang Miftakhul Fahmi 2026-05-26T22:00:01Z 置信度 0.70
• Human, Society and Artificial Intelligence
  crossref Göklem Tekdemir, Ayşen Şatıroğlu 2026-06-11T10:37:12Z 置信度 0.70
• Supply Chain Security for Artificial Intelligence Systems
  <p><b><span>Background. </span></b><span>Artificial intelligence systems are constructed from a heterogeneous supply chain spanning datasets, foundation model weights, fine-tuning artefacts, inference infrastructure, agent f…
  crossref Rizwan Tanveer 2026-06-02T09:53:12Z 置信度 0.70
• Artificial intelligence adoption and sustainable financial decisionmaking among MSMEs: An empirical study of Cuttack city
  In recent times, Artificial Intelligence (AI) is increasingly influencing financial decision-making and sustainability measures in business organizations.The current study explores the impact of AI adoption on sustainable financial decision-making in Micro Sma…
  crossref Nusrat Parween 2026-08-18T04:35:14Z 置信度 0.70
• The public legitimacy of artificial intelligence governance
  This chapter examines the public legitimacy of artificial intelligence governance (AIG) by synthesising the existing comparative, survey-based literature. We conceptualise legitimacy sociologically, encompassing the input, throughput, and output dimensions of …
  crossref Marco Lünich, Christopher Starke 2026-06-11T18:01:29Z 置信度 0.70
• Artificial intelligence-driven smart prediction and regulation model for rural carbon emissions
  Rural carbon emissions from home energy usage, animal behaviour, and agricultural practices have a major impact on climate change. To precisely anticipate and control rural carbon emissions and support sustainable rural development, the project attempts to cre…
  crossref Cuiying Luo 2026-03-12T05:26:44Z 置信度 0.70
• A healthy debate: Exploring the views of medical doctors on the ethics of artificial intelligence
  Artificial Intelligence (AI) is moving towards the health space. It is generally acknowledged that, while there is great promise in the implementation of AI technologies in healthcare, it also raises important ethical issues. In this study we surveyed medical …
  crossref Andreia Martinho, Maarten Kroesen, Caspar Chorus 2021-10-13T08:44:07Z 置信度 0.70
• APPLICATION OF MODERN ARTIFICIAL INTELLIGENCE ALGORITHMS IN THE HUMANITIES
  This work is devoted to the study of the application of modern artificial intelligence (AI) algorithms in the humanities for analyzing, modeling, and forecasting complex socio-cultural and historical processes.The use of neural networks, machine learning algor…
  crossref M. Turubarov 2026-06-18T08:42:57Z 置信度 0.70
• Construction of a psychological intervention model for artificial intelligence-driven learning motivation enhancement of higher vocational medical students
  crossref Yanhong Li 2026-05-04T08:52:57Z 置信度 0.70
• Artificial Intelligence in Medical Education: A Cross-Sectional Study of Awareness, Perceptions, and Adoption Barriers among Undergraduate Medical Students in India
  Background: Artificial intelligence (AI) is revolutionising healthcare, but its integration into Indian undergraduate medical curricula remains nascent. Understanding student perspectives is critical for effective pedagogical reform. Objectives: This study aim…
  crossref Anjani Kumar Srivastava, Anjali Singh, Aparnesh Pandey, Ganesh Chandra Satapathy 2026-06-26T08:52:54Z 置信度 0.70
• Artificial intelligence in the diagnosis and management of COVID-19: a narrative review
  Abstract: As per November 2020, there have been over 51.5 million cases of COVID-19 in the world with its mortality rate being close to 7%, causing a major burden on health care systems. Artificial intelligence (AI) is a promising tool, the use of which has be…
  crossref Samer Ellahham 2021-03-31T08:02:23Z 置信度 0.70
• Medical Robots and Minimally Invasive Surgery Driven by Artificial Intelligence: MR&MIS AI
  crossref Zbigniew Nawrat 2024-12-23T16:28:19Z 置信度 0.70
• Optimizing the Trade-off between Privacy and Utility in Medical Imaging Federated Learning
  crossref Zekai Yu 2025-07-30T13:53:21Z 置信度 0.70
• Deterministic σ-Regularized Equilibrium Inference Method for Artificial Intelligence
  Convolutional encoders are widely used in modern artificial intelligence systems to transform structured inputs into compact representations that are subsequently processed by pooling, flattening, and training-based classification layers. Despite their empiric…
  crossref Huseyin Cekirge 2026-02-11T06:59:53Z 置信度 0.70
• Datafication, Artificial Intelligence, and Rule of Law
  Artificial Intelligence has been touted as a technology that would significantly contribute to the rule of law and the achievement of Sustainable Development Goals, such as SDG 16. AI-based systems are presented as doing away with the messiness and inconsisten…
  crossref Ignas Kalpokas, Julija Kalpokiene 2026-01-09T13:42:17Z 置信度 0.70
• Applications of Artificial Intelligence in the Healthcare Industry
  Healthcare is considered one of the most promising application areas for artificial intelligence (AI) and analytics. AI is ushering into a new era in healthcare and is revolutionizing the industry in numerous ways, from improving diagnostics to optimizing pati…
  crossref V. Sasirekha, V. Suganya, R. Manigandan 2026-04-03T10:52:25Z 置信度 0.70
• Models for measuring performance of medical expert systems
  crossref Nitin Indurkhya, Sholom M. Weiss 2004-04-23T09:53:05Z 置信度 0.70
• Retraction notice to “Integrating AI-based adaptive learning into the flipped classroom model to enhance engagement and learning outcomes” [Computers and Education: Artificial Intelligence 8 (2025) 100392]
  crossref Jozsef Katona, Klara Ida Katonane Gyonyoru 2026-01-14T12:23:52Z 置信度 0.70
• Introduction for the Artificial Intelligence and Gastrointestinal Cancer Column
  Gastrointestinal (GI) cancer is a leading cause worldwide of morbidity and mortality. In 2018, GI cancer accounted for 27% of all new cancer diagnoses. The incidence rate of colorectal cancer is rising in many countries, with a recent dramatic increase for peo…
  crossref Brandon J. Teng, Michael F. Byrne 2019-07-08T23:03:36Z 置信度 0.70
• Research on the Application of Artificial Intelligence in Medical Education
  crossref Mingyue Li, Xiaofei Wang 2024-08-28T07:03:52Z 置信度 0.70
• Multi-modal digital exhibition hall design integrating virtual reality, augmented reality and artificial intelligence toward immersive interaction and intelligent cultural services
  crossref Xiao Su, Xuan Huang, XiaoMeng Sun 2026-04-08T21:23:00Z 置信度 0.70
• Explainable Artificial Intelligence Techniques in Healthcare Applications
  Artificial intelligence (AI) techniques such as deep learning, image processing (IP), expert systems, and neural networks are being witnessed in revolutionizing healthcare industry by solving several complex healthcare problems. This includes but not limited t…
  crossref Hareem Ayesha, Sajid Iqbal, Mehreen Tariq, Abdullah Alaulamie 等 2025-01-09T14:09:01Z 置信度 0.70
• The Pocket Tutor - Generating Competency-Based Clinical Vignettes with Artificial Intelligence for Medical Postgraduate Competitive Exam Preparation
  The transition of medical licensing examinations toward application-based clinical vignettes necessitates high-quality question banks. However, manual drafting of complex multiple-choice questions places a profound cognitive burden on educators. This study eva…
  crossref Swapnil Banerjee, Manisha Agarwal 2026-08-07T06:39:52Z 置信度 0.70