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• Half Title Page
  crossref 2025-07-07T17:47:34Z 置信度 0.70
• Proceedings
  crossref 2026-01-23T20:56:01Z 置信度 0.70
• 2025 2nd International Conference on Artificial Intelligence and Digital Management (ICAIDM)
  crossref 2025-12-18T18:32:11Z 置信度 0.70
• Artificial Intelligence in and Beyond Healthcare Psychology
  Artificial Intelligence (AI) has been developed through interdisciplinary efforts since the 1940s, but generative AI and Large Language Models (LLMs) gained unprecedented attention with the launch of ChatGPT by OpenAI in late 2022. As these AI tools have becom…
  crossref Dong Y. Han 2025-10-10T10:55:13Z 置信度 0.70
• Aligning Artificial Intelligence with Responsible Management Education
  This chapter explores the alignment of Artificial Intelligence (AI) policies in European business schools with the Principles for Responsible Management Education (PRME). The research employs a content analysis of AI policy documents from 15 leading European b…
  crossref Melike Demirbağ-Kaplan 2025-09-09T14:40:05Z 置信度 0.70
• Privacy-preserving federated learning approach for medical image analysis
  crossref Zishuo Xu 2026-04-29T18:42:01Z 置信度 0.70
• Secure AI in healthcare: Advanced privacy-preserving machine learning techniques for medical data
  crossref Abhilasha Sharma, Riti Rathore 2025-11-06T11:44:46Z 置信度 0.70
• Venezuelan first year medical students’ insight on Artificial Intelligence
  Introduction: A survey addressing first-year Venezuelan medical students’ insight on Artificial Intelligence was carried out to analyze their perceptions of the impact of Artificial Intelligence in their medical education and future clinical practice. Methods:…
  crossref Rafael Romero Reverón 2025-06-19T09:39:28Z 置信度 0.70
• Chapter 9 Differential Privacy and Medical Data Analysis
  crossref Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg 2025-07-23T08:26:52Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE IN SURGERY: REDEFINING PRECISION AND POSSIBILITIES
  Previously thought to be science fiction, AI has increasingly become the topic of both popular and academic literature as years of research have finally built to thresholds of knowledge that have rapidly generated practical applications. The integration of art…
  crossref Asif Mehmood, Mohammad Shoaib Khan 2025-12-31T06:09:13Z 置信度 0.70
• Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education
  Artificial intelligence (AI) enabled scriptwriting for interprofessional education is a novel approach that develop realistic and complex educational scenarios for healthcare professionals. This method enhances the quality of interprofessional education and ad…
  crossref Aysel Baser, Hatice Şahin 2025-04-28T12:32:20Z 置信度 0.70
• التقاطع المعرفي للذكاء الاصطناعي بين العلوم التطبيقية والاجتماعية منصة البحوث الاكاديمية العراقية أنموذجا
  crossref thanaa lilo abbas 2026-04-06T19:26:41Z 置信度 0.70
• Research on Middle School English Writing Teaching Model Assisted by Generative Artificial Intelligence
  The rapid development of generative artificial intelligence technology has accelerated the reform in the field of education and opened up a new development path for English writing teaching in middle schools. However, in the actual teaching process, there are …
  crossref Zhiwei Qi, Yuqing Liu, Wenlin Liu 2025-09-23T17:24:05Z 置信度 0.70
• AIoMT artificial intelligence (AI) and Internet of Medical Things (IoMT)
  crossref Fadi Muheidat, Loai A. Tawalbeh 2023-06-05T05:37:49Z 置信度 0.70
• Artificial intelligence empowered response prediction and adaptation
  In this chapter, we provide an overview of the data resources typically utilized in response modeling, a summary and examples of traditional and artificial intelligence (AI)-based response models, and we also discuss current trends and challenges in AI-based r…
  crossref Denis Dudas, Issam El Naqa 2025-10-29T13:54:13Z 置信度 0.70
• One Model Fits All? Rethinking Medical AI Chatbots with Specialized Retrieval
  Medical diagnostics and treatment planning are increasingly complex, demanding sophisticated tools for healthcare professionals. AI chatbots in healthcare often use generalized models, leading to suboptimal predictions, especially with multimodal data. This re…
  crossref Ranil Mukesh MJ, Karthikeyan S, Meenalosini Vimal Cruz 2025-07-15T17:41:01Z 置信度 0.70
• Artificial intelligence and blockchain technology for efficient electronic medical record management
  Over the past decade, blockchain technology has expanded at a staggering rate. The clandestineness and anonymity that "B" provides led to its primer as the underpinning of cryptocurrencies like Bitcoin, but it quickly found efficacy in other contexts as well. …
  crossref Akoramurthy Balasubramaniam, Surendiran Balasubramaniam 2024-01-12T03:10:36Z 置信度 0.70
• Case-based learning of plans and goal states in medical diagnosis
  We introduce a case-based system, BOLERO, that learns both plans and goal states. The major aim is that of improving the performance of a rule-based diagnosis system by adapting its behavior using the most recent information available about a patient. On the o…
  crossref Beatriz López, Enric Plaza 2002-07-25T11:20:41Z 置信度 0.70
• Should medical students be encouraged to use generative artificial intelligence to study?
  Generative artificial intelligence is becoming increasingly embedded in how today’s medical students learn and practise medicine. But should it be formally taught within the medical curriculum? Rhea Sibal argues that it must be embraced to prepare future docto…
  crossref Rhea Sibal, George Webster, Elgan Manton-Roseblade 2025-07-23T11:25:19Z 置信度 0.70
• Swedish medical students’ attitudes toward artificial intelligence and effects on career plans: a survey
  Background The implementation of artificial intelligence (AI), and especially generative AI, is transforming many medical fields, while medical education faces new challenges in integrating AI into the curriculum and is facing challenges with the rise of gener…
  crossref Noora Neittaanmäki 2025-02-28T07:29:05Z 置信度 0.70
• Artificial Intelligence in Automation
  Artificial Intelligence in Automation delves into the groundbreaking convergence of AI, robotics, and machine learning that is revolutionising automation across diverse fields, from agriculture and construction to industrial inspection and space exploration. T…
  crossref Ahmad Humaizi Hilmi 2025-10-07T05:24:27Z 置信度 0.70
• Front Matter
  crossref 2025-07-23T09:36:43Z 置信度 0.70
• Computing the confidence in a medical decision obtained from an influence diagram
  Willard and Critchfield [31] assume that uncertainty exists as to the values of the probabilities which need to be assessed for a decision tree, and that the uncertainty in each probability is represented by a continuous probability distribution. If the probab…
  crossref Richard E. Neapolitan 2004-04-23T09:53:05Z 置信度 0.70
• 2025 8th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI)
  crossref 2026-03-02T20:53:51Z 置信度 0.70
• 2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
  crossref 2025-08-04T18:44:18Z 置信度 0.70
• 2025 International Conference on Future Telecommunications and Artificial Intelligence (IC-FTAI)
  crossref 2026-02-17T21:06:30Z 置信度 0.70
• Decision-making systems improvement based on explainable artificial intelligence approaches for predictive maintenance
  crossref Lala Rajaoarisoa, Raubertin Randrianandraina, Grzegorz J. Nalepa, João Gama 2024-11-21T20:05:03Z 置信度 0.70
• Artificial Intelligence, Ethical Concerns, and Social Responsibility
  The terms ‘data science’, ‘artificial intelligence’ (AI), ‘machine learning’, and ‘deep learning’ are defined. Various types of software agents are introduced, notably the intelligent, reactive, deliberative, learning, and hybrid software agents. Notions of co…
  crossref Vinod Kumar Khanna 2025-08-13T16:48:41Z 置信度 0.70
• Medical education; Faculty development; Artificial intelligence literacy; Competency framework; Expert consensus (Preprint)
  UNSTRUCTURED In response to the profound challenges posed by the deep integration of generative artificial intelligence (AI) into medical education, this consensus statement presents, for the first time, a coherent, medically distinctive, forward-looking, and …
  crossref Xunming JI, Mengchun Gong 2026-03-02T20:45:08Z 置信度 0.70
• Skin health response to climate change weather tailored cosmetics using artificial intelligence
  Abstract: Recently, the severity of global warming is increasing worldwide. In this study, we examined the possibility of customized cosmetics devices using artificial intelligence (AI) as a countermeasure to problems that may occur on the skin due to global w…
  crossref Jinkyung Lee, Ki Han Kwon 2024-06-27T11:21:33Z 置信度 0.70
• Artificial intelligence-driven models for predicting mechanical properties of low-emission microwave-cured geopolymer mortar
  crossref Faidhalrahman Khaleel, Haitham Abdulmohsin Afan, Alaa H. AbdUlameer, Abdulrahman S. Abdullah 等 2025-05-29T11:59:23Z 置信度 0.70
• Classifying medical relations in clinical text via convolutional neural networks
  Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a multi-pooling operation for medical relation classification on clinical records…
  crossref Bin He, Yi Guan, Rui Dai 2018-05-17T22:11:22Z 置信度 0.70
• Artificial Intelligence in Medical Science as a Therapeutic Factor: A Theoretical and Methodological Analysis
  crossref Alsu N. Safiullina 2026-06-26T19:43:40Z 置信度 0.70
• Reconsidering Conclusions of Bias Assessment in Medical Imaging Foundation Models
  ZORA (Zurich Open Repository and Archive) provides open and worldwide access to the research and scholarly output of the University of Zurich, Switzerland. A focus is on qualified scientific publications. ZORA is operated by the University Library together wit…
  crossref Akshay S. Chaudhari, Christian Bluethgen, David Ouyang 2023-11-22T09:52:45Z 置信度 0.70
• A NOVEL SOFT COMPUTING-BASED RETRIEVAL SYSTEM FOR MEDICAL APPLICATIONS
  As the amount of data in medical databases increases, systems for medical data retrieval are growing in popularity. Some of these analyses include inducing propositional rules from databases using many soft techniques, and then using these rules in an expert s…
  crossref S. Sharma, P. Singh 2012-08-08T13:42:26Z 置信度 0.70
• A Medical Ethics Framework for Conversational Artificial Intelligence (Preprint)
  UNSTRUCTURED The launch of OpenAI’s GPT-3 model in June 2020 began a new era for conversational chatbots. While there are chatbots that do not use artificial intelligence (AI), conversational chatbots integrate AI language models that allow for back-and-forth …
  crossref Eleonore Fournier-Tombs, Juliette McHardy 2022-10-05T17:24:10Z 置信度 0.70
• Blockchain and IoT for Secure Medical Data Management in Healthcare Applications
  The rapid expansion of healthcare Internet of Things (IoT) devices has generated unprecedented volumes of medical data, presenting significant challenges in terms of security, privacy, interoperability, and real-time access. Traditional centralized healthcare …
  crossref Sujit Kumar Sadhukhan, Palak Keshwani 2025-10-30T11:49:02Z 置信度 0.70
• Artificial intelligence in women’s healthcare: A glimpse of the future
  INTRODUCTION Artificial intelligence (AI) refers to a computer program’s capability to carry out tasks typically associated with human intelligence, including reasoning, learning, adaptation, sensory perception, and interaction.[1] AI has already become integr…
  crossref Sushil Kumar, Paridhi Agarwal 2025-03-31T07:00:40Z 置信度 0.70
• A Tree-based RAG-Agent Recommendation System: A Case Study in Medical Test Data
  We present HiRMed (Hierarchical RAG-enhanced Medical Test Recommendation), a novel tree-structured recommendation system that leverages Retrieval-Augmented Generation (RAG) for intelligent medical test recommendations. Unlike traditional approaches based on ve…
  crossref Yahe Yang, Chengyue Huang, Cailian Ruan 2025-08-11T17:40:54Z 置信度 0.70
• Forewarning Artificial Intelligence about Cognitive Biases
  Artificial intelligence models display human-like cognitive biases when generating medical recommendations. We tested whether an explicit forewarning, “Please keep in mind cognitive biases and other pitfalls of reasoning,” might mitigate biases in OpenAI’s gen…
  crossref Jonathan Wang, Donald A. Redelmeier 2025-06-24T11:26:45Z 置信度 0.70
• Bespoke Regulation of Artificial Intelligence
  The decision to regulate artificial intelligence (AI) has far reaching consequences. Determining how to address budding applications of AI technology should depend on their effects. This article describes how regulation should be carefully tailored to avoid ha…
  crossref Brenda M. Simon 2025-01-15T09:16:12Z 置信度 0.70
• Artificial Intelligence-Assisted Chatbots and Virtual Therapists
  This chapter explores the evolution and role of artificial intelligence (AI)-assisted chatbots in mental health care, with a particular focus on their relevance to cognitive behavioural therapy (CBT). The chapter introduces a conceptual model of the various ty…
  crossref Hester Chow 2025-10-03T17:02:44Z 置信度 0.70
• Comprehensive guide and checklist for clinicians to evaluate artificial intelligence and machine learning methodological research
  crossref Don Roosan 2024-08-12T09:58:31Z 置信度 0.70
• Artificial Intelligence and Medical Visualization
  Artificial Intelligence (AI) is contributing promisingly to the advancement of business, education, automobile, human language-assisted devices, automated machinery, agriculture, pharma, and medicines. The AI machine learning, deep learning, robotics, natural-…
  crossref Nayankumar C. Ratankar, Beenkumar R. Prajapati, Bhupendra G. Prajapati, Jigna B. Prajapati 2023-06-16T19:04:16Z 置信度 0.70
• Explainable artificial intelligence in epilepsy management: Unveiling the model interpretability
  crossref Najmusseher, P.K. Nizar Banu, Ahmad Taher Azar, Nashwa Ahmad Kamal 2025-05-07T06:21:19Z 置信度 0.70
• Artificial Intelligence-Empowered Bio-medical Applications
  openalex Dimitrios P. Panagoulias, George A. Tsihrintzis, Maria Virvou 2025-01-01 置信度 0.72 Computer scienceArtificial intelligence
• Sharing Data Is Essential for the Future of AI in Medical Imaging
  If we want artificial intelligence to succeed in radiology, we must share data and learn how to share data.
  crossref Laura C. Bell, Efrat Shimron 2023-11-29T09:51:30Z 置信度 0.70
• 2025 International Conference on Trustworthy Big Data and Artificial Intelligence (ICTBAI)
  crossref 2025-12-29T18:37:24Z 置信度 0.70
• 2025 2nd International Conference on Artificial Intelligence, Metaverse, and Cybersecurity (ICAMAC)
  crossref 2026-02-25T20:55:28Z 置信度 0.70
• 2025 International Conference on Artificial Intelligence, Electrical and Electronic Engineering (AI3E)
  crossref 2026-04-24T19:45:17Z 置信度 0.70
• Considerations for the use of artificial intelligence in the creation of lay summaries of clinical trial results
  The clinical research landscape is constantly evolving, as new regulations and innovations come together to help accelerate scientific discoveries and medical advances. A prominent example of this is the rapidly emerging technology of artificial intelligence (…
  crossref Kimbra Edwards 2025-07-10T13:09:26Z 置信度 0.70
• Medical Image Segmentation in Joint Replacement Scans Using Attention Mechanisms: A Survey
  The success of joint replacement surgeries is heavily dependent on precise preoperative planning and intraoperative execution, where accurate segmentation of anatomical structures from medical scans is paramount. While traditional segmentation methods often fa…
  crossref Sindhu N, S. Srividhya 2026-02-23T20:43:58Z 置信度 0.70
• Estimating room acoustic descriptors from bag-of-vectors representation with transformers
  In this paper, we propose a novel deep learning method for room acoustic descriptor estimation. Certain descriptors are highly important in assessing acoustic quality, therefore estimating them during the planning phase is a crucial part of designing indoor sp…
  crossref Bence Bakos, Gábor Hidy, Bálint Csanády, Csaba Huszty 等 2025-02-11T06:29:52Z 置信度 0.70
• A New Approach: Generative Artificial Intelligence in Physiatry Resident Education
  Aim: This study assessed the effectiveness of ChatGPT-4o, an artificial intelligence (AI) platform, in creating a therapeutic exercises presentation for physiatry residents’ education. The aim was to compare the quality of content created by ChatGPT-4o with th…
  crossref Selkin Yılmaz Muluk, Vedat Altuntaş, Zehra Duman Şahin 2025-01-14T11:30:43Z 置信度 0.70
• Human and Artificial Intelligence
  (1980). Human and Artificial Intelligence. Medical Informatics: Vol. 5, No. 3, pp. 243-243.
  crossref John Anderson 2009-12-08T21:32:31Z 置信度 0.70
• Dedication
  crossref 2025-01-31T18:04:30Z 置信度 0.70
• Copyright
  crossref 2025-07-23T09:56:12Z 置信度 0.70
• REMOVED: Index
  crossref 2025-01-31T13:55:32Z 置信度 0.70
• Artificial intelligence-powered transformation across retail, government, and enterprise institutions
  Despite the massive economic disruptions and changes caused by COVID-19, an ongoing technological revolution continues in the world of information technology. Data analysis innovations such as big data technologies, advanced analytics, artificial intelligence,…
  crossref Abhishek Dodda 2025-06-09T17:26:54Z 置信度 0.70
• Improving elementary school students’ morality with AI
  This study focuses on exploring moral education strategies for elementary school students through the use of conversational artificial intelligence (AI), with the aim of strengthening democratic citizenship competencies required in the digital society. The res…
  crossref Bo Ram Kim 2025-10-13T04:39:14Z 置信度 0.70
• Elucidable Artificial Intelligence in Medical Practice: Enhancing Transparency, Accountability, and Responsible Artificial Intelligence use
  crossref Srinivas Rao Pulluri, Jayadev Gyani, Srima Rao Pulluri 2026-04-08T21:52:53Z 置信度 0.70
• A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric.
  Recent advances in vision-language models (VLMs) have enabled automatic radiology report generation, yet current evaluation methods remain limited to general-purpose NLP metrics or coarse classification-based clinical scores. In this study, we propose a clinic…
  pubmed Guan H, Hou PC, Hong P, Wang L 等 2024 置信度 0.82
• Adaptive Constraint Relaxation in Personalized Nutrition Recommendations: An LLM-Driven Knowledge Graph Retrieval Approach.
  Personalized food recommendation systems must balance various constraints, including medical guidelines, nutritional needs, and individual preferences. However, existing methods often struggle with overly restrictive queries, frequently failing to generate rec…
  pubmed Zhang P, Fnu M, Song Y, Seneviratne O 等 2024 置信度 0.82
• ARTIFICIAL INTELLIGENCE AND THE NEW CHALLENGES FOR EU LEGISLATION
  Artificial Intelligence is one of the increasing topics of the last decade which is developed by the new technological changes. With the introduction of AI into our daily lives, discussions occurred on machine learning and the legal and ethical issues governin…
  openalex Seldağ Güneş Peschke, Lutz Peschke 2022-08-19 置信度 0.72 General Data Protection RegulationData Protection Act 1998Data Protection DirectiveLegislationDirective
• A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
  This review investigates the application of Explainable Artificial Intelligence (XAI) in biomedical informatics, encompassing domains such as medical imaging, genomics, and electronic health records. Through a systematic analysis of 43 peer-reviewed articles, …
  openalex Hassan Eshkiki, Farinaz Tanhaei, Fabio Caraffini, Benjamin Mora 2025-12-08 置信度 0.72 Relevance (law)Health informaticsComputer scienceData scienceHealth care
• Artificial Intelligence and Machine Learning for Enhancing Resilience: Concepts, Applications, and Future Directions
  As contemporary societies face unprecedented challenges such as mounting mental health issues, environmental crises, and socioeconomic insecurity, the urgency of developing objective, scalable, and dynamic methodologies to study resilience has never been great…
  openalex Nitin Liladhar Rane, Suraj Kumar Mallick, Jayesh Rane 2025-07-01 置信度 0.72 Resilience (materials science)Computer scienceArtificial intelligenceCognitive sciencePsychology
• Comparing Artificial Intelligence Large Language Models in Medical Training: A Performance Analysis of ChatGPT and DeepSeek on United States Medical Licensing Examination (USMLE) Style Questions
  Introduction The integration of artificial intelligence (AI) into medical education is reshaping how students prepare for standardized examinations. Prior studies have shown that AI models can achieve high accuracy on United States Medical Licensing Examinatio…
  openalex Runze Zhang, Qinyun Cai, Ângela Lúcia Bagnatori Sartori, Nasser Gayed 等 2025-08-16 置信度 0.72 MedicineUnited States Medical Licensing ExaminationStyle (visual arts)Training (meteorology)Medical education
• Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline
  Patient-level grouped data are prevalent in public health and medical fields, and multiple instance learning (MIL) offers a framework to address the challenges associated with this type of data structure. This study compares four data aggregation methods desig…
  openalex Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer 等 2025-01-02 置信度 0.72 Pipeline (software)Computer scienceArtificial intelligenceSpeech recognitionMachine learning
• Teachers’ professional identity in the era of artificial intelligence: A phenomenological study
  This study adopted a phenomenological research design to examine the lived experiences of teachers regarding their professional identity in response to the rapid expansion of artificial intelligence (AI) integration in education. The study involved thirty purp…
  openalex Akilu Isma’il, Halimat Bashir Ibrahim 2025-11-12 置信度 0.72 Identity (music)Thematic analysisAutonomyPsychologyPedagogy
• The Role of Artificial Intelligence in Early Diagnosis and Management of Cardiovascular Diseases
  The increasing rate of cardiovascular diseases (CVDs) has posed a tremendous challenge to their early detection and personalized treatment. This research examines the potential of Artificial Intelligence (AI) for early detection and management of CVDs, in part…
  openalex H. Abdul Shabeer, Hafiz Muhammad Ali Haider, Tamana Khatri, Nouman Khan 等 2025-02-18 置信度 0.72 MedicineArtificial intelligenceComputer scienceIntensive care medicine
• Sora for Computational Social Systems: From Counterfactual Experiments to Artificiofactual Experiments With Parallel Intelligence
  Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) of 2024. This issue showcases an impressive array of 104 regular papers alongside our Special Issue on Big Data and Computational Social Intelligence for Guaranteed Financi…
  openalex Rui Qin, Fei–Yue Wang, Xiaolong Zheng, Qinghua Ni 等 2024-04-01 置信度 0.72 Counterfactual thinkingComputer scienceComputational intelligenceArtificial intelligencePsychology
• Artificial intelligence for precision medicine
  INTRODUCTION: Precision medicine aims to tailor healthcare decisions and interventions to the unique biological and clinical characteristics of each patient. The recent convergence of artificial intelligence (AI) with advances in digital health, omics, and big…
  openalex M. Martel, Adán José-García, Celine Vens, Maarten De Vos 等 2025-10-08 置信度 0.72 Precision medicineComputer scienceArtificial intelligenceApplications of artificial intelligenceHealth care
• European Sovereignty in Artificial Intelligence: A Competence-Based Perspective
  openalex Ludovic Dïbiaggio, Lionel Nesta, Simone Vannuccini 2024-01-01 置信度 0.72 SovereigntyPerspective (graphical)Competence (human resources)Political sciencePsychology
• Evaluating the Quality and Readability of Generative Artificial Intelligence (AI) Chatbot Responses in the Management of Achilles Tendon Rupture
  INTRODUCTION: The rise of artificial intelligence (AI), including generative chatbots like ChatGPT (OpenAI, San Francisco, CA, USA), has revolutionized many fields, including healthcare. Patients have gained the ability to prompt chatbots to generate purported…
  openalex Christopher E Collins, Peter A Giammanco, Monica Guirgus, Mikayla Kricfalusi 等 2025-01-31 置信度 0.72 ReadabilityMedicineReading (process)Quality (philosophy)Artificial intelligence
• Advances in Artificial Intelligence for Lung Cancer Detection and Diagnostic Accuracy: A Comprehensive Review
  Cancer is a deadly disease with a minimal probability of curing when detected in the later stages. Out of many different varieties of cancer diseases, lung cancer falls under the critical category as it is internal, invisible, and connected to the breathing co…
  openalex Rupa Debnath, Rituparna Mondal, Arpita Chakraborty, Siddhartha Chatterjee 2025-05-26 置信度 0.72 Lung cancerCancer detectionArtificial intelligenceCancerComputer science
• Using artificial intelligence in health research
  Artificial intelligence is now widely accessible and already being used by healthcare researchers throughout various stages in the research process, such as assisting with systematic reviews, supporting data collection, facilitating data analysis and drafting …
  openalex Daniel Rodger, Siobhán O’Connor 2025-02-27 置信度 0.72 Artificial intelligenceComputer science
• Artificial Intelligence in Ovarian Cancer: A Systematic Review and Meta-Analysis of Predictive AI Models in Genomics, Radiomics, and Immunotherapy
  Background/Objectives: Artificial intelligence (AI) is increasingly influencing oncological research by enabling precision medicine in ovarian cancer through enhanced prediction of therapy response and patient stratification. This systematic review and meta-an…
  openalex Mauro Francesco Pio Maiorano, Gennaro Cormio, Vera Loizzi, Brigida Anna Maiorano 2025-04-18 置信度 0.72 RadiomicsGenomicsImmunotherapyOvarian cancerComputational biology
• Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review
  Colorectal cancer (CRC) is the second most common cancer in women and the third most common in men, with an increasing incidence. Pathology diagnosis complemented with prognostic and predictive biomarker information is the first step for personalized treatment…
  openalex Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, Georgios Ntritsos 等 2022-03-29 置信度 0.72 Microsatellite instabilityColorectal cancerMedicineHistopathologyCancer
• Analysis of Retracted Publications on Artificial Intelligence: Trends, Ethical Concerns, and Scientific Integrity
  BACKGROUND: Artificial intelligence (AI) has promoted progress across various fields. The number of papers regarding AI has risen in recent years. This study examines retracted publications regarding AI by analyzing trends, journals, and reasons. METHODS: This…
  openalex Burhan Fatih Koçyiğit, Ramazan Azim Okyay, Birzhan Seiil, Ainur B. Qumar 等 2025-01-01 置信度 0.72 Scientific integrityResearch integrityEngineering ethicsAcademic integrityScientific misconduct
• Multimodality imaging in prostate cancer diagnosis using artificial intelligence: basic concepts and current state-of-the-art
  Abstract The early diagnosis of prostate cancer (PCa) is highly recommended, as the tumor will not spread to other organs of the body and the bones. Moreover, a late diagnosis of PCa could lower the survival rate. The growing development of Artificial Intellig…
  openalex Sarah M. Ayyad, Nahla B. Abdel-Hamid, Hesham Ali, Labib M. Labib 2025-04-16 置信度 0.72 Computer scienceMultimodalityCurrent (fluid)State (computer science)Prostate cancer
• Role of Artificial Intelligence in Human Capital Management: A Review at PT. Pos Indonesia
  PT. Pos Indonesia is committed to overcoming digital era challenges by implementing strategic transformations, particularly through the adoption of Artificial Intelligence (AI). AI plays a key role in enhancing operational efficiency, service quality, and reve…
  openalex Sora Baltasar, Tonggo Marbun 2024-03-28 置信度 0.72 BusinessHuman resource managementComputer scienceKnowledge management
• From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy
  This review explores how artificial intelligence (AI) is transforming fluorescence microscopy, providing an overview of its fundamental principles and recent advancements. The roles of AI in improving image quality and introducing new imaging modalities are di…
  openalex Seungjae Han, Joshua Yedam You, Minho Eom, Sungjin Ahn 等 2024-07-15 置信度 0.72 MicroscopyArtificial intelligenceComputer sciencePerspective (graphical)Focus (optics)
• Hybrid intelligence in medical image segmentation
  Medical image segmentation is vital for precise identification and analysis of anatomical structures and pathological regions, yet traditional models often fall short in aligning with clinical workflows, requiring extensive manual correction even when overall …
  openalex Namia Mohamed Ali, Solomon Sunday Oyelere, Nitya Jitani, Rosy Sarmah 等 2025-11-21 置信度 0.72 SegmentationComputer scienceArtificial intelligenceWorkflowHausdorff distance
• Temporomandibular joint assessment in MRI images using artificial intelligence tools: where are we now? A systematic review
  OBJECTIVES: To summarize the current evidence on the performance of artificial intelligence (AI) algorithms for the temporomandibular joint (TMJ) disc assessment and TMJ internal derangement diagnosis in magnetic resonance imaging (MRI) images. METHODS: Studie…
  openalex Mitul Manek, Ibraheem Maita, Diego Filipe Bezerra Silva, Daniela Pita de Melo 等 2024-11-19 置信度 0.72 Temporomandibular jointMagnetic resonance imagingComputer scienceOrthodonticsJoint (building)
• Assessing the medical reasoning skills of GPT-4 in complex ophthalmology cases
  BACKGROUND/AIMS: This study assesses the proficiency of Generative Pre-trained Transformer (GPT)-4 in answering questions about complex clinical ophthalmology cases. METHODS: Ophthalmology Clinical Challenges, and prompted the model to determine the diagnosis …
  openalex Daniel Milad, Fares Antaki, Jason Milad, Andrew Farah 等 2024-02-16 置信度 0.72 MedicineOptometryOphthalmology
• Algorithmic Bias and Data Justice: ethical challenges in Artificial Intelligence Systems
  This article examines the critical ethical challenges posed by algorithmic bias in artificial intelligence (AI) systems, focusing on its implications for social justice and data equity. Through a systematic review of case studies and theoretical frameworks, we…
  openalex Javier González‐Argote, Emanuel Maldonado, Karina Maldonado 2025-01-01 置信度 0.72 Equity (law)Economic JusticeCorporate governanceSocial justiceInequality
• Potential roles for artificial intelligence in clinical microbiology from improved diagnostic accuracy to solving the staffing crisis
  OBJECTIVES: This review summarizes the current and potential uses of artificial intelligence (AI) in the current state of clinical microbiology with a focus on replacement of labor-intensive tasks. METHODS: A search was conducted on PubMed using the key terms …
  openalex Erin H. Graf, Amr Soliman, Mohamed Marouf, Anil V. Parwani 等 2024-08-13 置信度 0.72 Clinical microbiologyWorkflowStaffingEconomic shortageArtificial intelligence
• Application of artificial intelligence techniques for the profiling of visitors to tourist destinations
  Tourism in Peru represents an opportunity for local development; however, there is limited understanding of visitor profiles. The aim of this study was to characterize tourists using machine learning techniques in order to identify distinct segments that can i…
  openalex Juan Schrader, Lloy Pinedo, Fabiano Cassol de Vargas, Karla Martell 等 2025-08-04 置信度 0.72 TourismVisitor patternMarket segmentationComputer scienceCluster analysis
• Generative artificial intelligence for general practice; new potential ahead, but are we ready?
  BACKGROUND: Generative AI (Gen AI) is frequently cited as an innovation to address the current challenges in healthcare, also for primary care. Examples include automating tasks like voice-to-notes transcription or chatbots using large language models. Additio…
  openalex Geert‐Jan Geersing, Niek J. de Wit, Matthew Thompson 2025-06-06 置信度 0.72 MedicineGeneral practiceGenerative grammarArtificial intelligenceFamily medicine
• Wearable sleep recording augmented by artificial intelligence for Alzheimer’s disease screening
  The recent emergence of wearable devices will enable large scale remote brain monitoring. This study investigated whether multimodal wearable sleep recordings could help screening for Alzheimer's disease (AD). Measurements were acquired simultaneously from pol…
  openalex Elisabeth R. M. Heremans, Astrid Devulder, Pascal Borzée, Rik Vandenberghe 等 2025-05-09 置信度 0.72 Wearable computerSleep (system call)Computer scienceDiseaseMedicine
• Charting the Landscape of Artificial Intelligence Ethics: A Bibliometric Analysis
  Abstract Using bibliometric methods, this study systematically analyzes 6,084 AI ethics-related articles from the Web of Science Core Collection (2015–2025), capturing both recent advances and near-future directions in the field. It begins by examining publica…
  openalex Jiaxuan Qiu, Le Cheng, Jin Huang 2025-04-01 置信度 0.72 Sociology
• Ten Natural Language Processing Tasks with Generative Artificial Intelligence
  The review enumerates the predominant applications of large language models (LLMs) in natural language processing (NLP) tasks, with a particular emphasis on the years 2023 to 2025. A particular emphasis is placed on applications pertaining to information retri…
  openalex Justyna Golec, Tomasz Hachaj 2025-08-17 置信度 0.72 Computer scienceGenerative grammarArtificial intelligenceNatural language processing
• Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis
  BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radiologists. Recently, artificial intelligence (AI) has emerged as a valuable tool to assist radiologists in the …
  openalex Huimin Tao, Hui Xu, Zhi Hong Zhang, Rongrong Zhu 等 2025-02-18 置信度 0.72 Surgical oncologyMeta-analysisMedicineMEDLINESystematic review
• Applications and clinical translation of artificial intelligence in CBCT-based detection of endodontic lesions: a scoping review
  openalex Mohmed Isaqali Karobari, Abdul Habeeb Adil, Ankita Mathur, Niher Tabassum Snigdha 2025-11-04 置信度 0.72 MedicineOral and maxillofacial surgeryMedical physicsDentistryMEDLINE
• Edge Machine Learning for AI-Enabled IoT Devices: A Review
  In a few years, the world will be populated by billions of connected devices that will be placed in our homes, cities, vehicles, and industries. Devices with limited resources will interact with the surrounding environment and users. Many of these devices will…
  openalex Massimo Merenda, Carlo Porcaro, Demetrio Iero 2020-04-29 置信度 0.72 Computer scienceEdge deviceBottleneckArtificial intelligenceEnhanced Data Rates for GSM Evolution
• Leveraging Artificial Intelligence for Advancing Key Sectors of National Growth and Development
  This study explores the transformative potential of artificial intelligence (AI) in national development across key sectors, including economic growth, healthcare, education, infrastructure, and security. Using a qualitative doctrinal research approach, it syn…
  openalex Olusola Olabisi Ogunseye, Ola-Dapo Ajayi, Adetutu Fabusoro, Amina Oje Abba 等 2025-01-18 置信度 0.72 Key (lock)Computer scienceProcess managementBusinessComputer security
• “We know what we are doing”: the politics and trends in artificial intelligence policies in Africa
  In the last decade, several actors have encouraged African countries to establish standards, policies and strategies that maximise the benefits of artificial intelligence (AI) and reduce risks. African countries appear to be adopting this regulatory path, yet …
  openalex Thompson Gyedu Kwarkye 2025-03-05 置信度 0.72 PoliticsPolitical scienceLaw
• Enhancing Customer Engagement Through Artificial Intelligence Authenticity
  ABSTRACT Given the limited research on the factors and mechanisms underlying artificial intelligence (AI) authenticity, we examine its use in fostering breakthrough knowledge and enhancing customer engagement. We devised a robust model grounded in mind percept…
  openalex Pantea Foroudi, Matthew J. Robson, Reza Marvi, Stavroula Spyropoulou 2025-09-28 置信度 0.72 Customer engagementKnowledge managementPerceptionCustomer experienceBoosting (machine learning)
• Modelling STEM students’ intention to learn artificial intelligence (AI) in Ghana: a PLS-SEM and fsQCA approach
  Artificial intelligence (AI) is globally transforming industries, demanding AI literacy for future Science, Technology, Engineering and Mathematics (STEM) professionals. Ghana is adapting its educational and technological landscape to meet this need. This stud…
  openalex Might Kojo Abreh, Francis Arthur, Freda Awonakie Akwetey, Sharon Abam Nortey 2025-08-27 置信度 0.72 Artificial intelligencePsychologyStructural equation modelingComputer scienceMathematics education
• Artificial Intelligence in Pediatric Epilepsy Detection: Balancing Effectiveness With Ethical Considerations for Welfare
  Background and Aim: Epilepsy is a major neurological challenge, especially for pediatric populations. It profoundly impacts both developmental progress and quality of life in affected children. With the advent of artificial intelligence (AI), there's a growing…
  openalex Marina Ramzy Mourid, Hamza Irfan, Malik Olatunde Oduoye 2025-01-01 置信度 0.72 EpilepsyPediatric epilepsyArtificial intelligenceScopusNeuroimaging