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• Implementation of artificial intelligence approaches in oncology clinical trials: A systematic review
  Introduction There is a growing interest in leveraging artificial intelligence (AI) technologies to enhance various aspects of clinical trials. The goal of this systematic review is to assess the impact of implementing AI approaches on different aspects of onc…
  crossref Marwa Saady, Mahmoud Eissa, Ahmed S. Yacoub, Ahmed B. Hamed 等 2025-01-18T03:03:25Z 置信度 0.70
• Artificial Intelligence and Competition Law
  Firms use algorithms for important decisions in areas from pricing strategy to product design. Increased price transparency and availability of personal data, combined with ever more sophisticated machine learning algorithms, has turbocharged their use. Algori…
  crossref Friso Bostoen 2025-02-18T13:47:06Z 置信度 0.70
• Shaping Tomorrow: The Convergence of Artificial General Intelligence and Quantum Computing
  crossref Ria Ghosh, Srinath Doss 2025-08-12T10:32:32Z 置信度 0.70
• Healthcare revolution: Advances in AI-driven medical imaging and diagnosis
  crossref Amrit Suman, Preetam Suman, Sasmita Padhy, Naween Kumar 等 2024-11-15T04:55:30Z 置信度 0.70
• Machine Learning Models for Health Outcome Prediction
  Vishnu B was born in Tamil Nadu, India, on 30 September 2006. He is currently pursuing a Bachelor of Engineering (B.E.) degree in Computer Science and Engineering at Chennai Institute of Technology, Chennai, India. He is an undergraduate scholar with strong ac…
  crossref MUTHUPANDI G, Jayakumar K, Yuvadarshan M, E. Mariappan 2026-01-23T15:52:54Z 置信度 0.70
• An Assisted Medical Diagnosis Question Answering System Based on Knowledge Graphs
  With the rapid advancement of artificial intelligence technology, knowledge graphs are seeing increasingly widespread application in the medical field, offering new technological means for assisted medical diagnosis. However, current research still faces chall…
  crossref Liu Fang, Chen Yang, Chen Jiansong 2026-03-05T20:41:42Z 置信度 0.70
• Implication of Artificial Intelligence in Public Health Dentistry: Future Prospective and Challenges
  From the time immemorial , machines are so designed by instilling all the high technical component making it technologically advance and proficient thereby simplifying the work of man .In today’s era machines are used in almost every field . Life is considered…
  crossref Dr. Shraddha Mishra 2025-07-21T07:35:08Z 置信度 0.70
• Artificial Intelligence-Assisted Assessment
  This chapter examines the limitations of traditional clinical assessment methods for mental disorders and explores the potential role of artificial intelligence (AI) in addressing these challenges. Traditional approaches often suffer from high misdiagnosis rat…
  crossref Olive K. L. Woo 2025-10-03T17:02:44Z 置信度 0.70
• Fed-ensemble: Enhancing Federated Learning with Ensemble Models for an Explainable Thyroid Cancer Recurrence Prediction
  The prediction of thyroid cancer recurrence is a critical task in clinical decision-making, yet traditional machine learning models face significant challenges, particularly around data privacy, model generalization with huge datasets, and interpretability. In…
  crossref Hasibul Hasan Sabuj, Dan Wu 2026-01-27T04:49:42Z 置信度 0.70
• Ethical and Appropriate Use of Artificial Intelligence by Medical Learners: What We Should Not Forget?
  The publication on “Key Insights for the Ethical and Appropriate Use of Artificial Intelligence by Medical Learners1” is an interesting issue. Murray et al. concluded that although large language model have the potential to improve academic writing, their exce…
  crossref Amnuay Kleebayoon, Viroj Wiwanitkit 2025-01-13T11:17:16Z 置信度 0.70
• The Evolving Role of Artificial Intelligence in Modern Healthcare: Opportunities and Ethical Challenges
  crossref Farhana Choudhury, Nuzhat Hossain, Fariha Tabassum 2025-11-26T09:05:42Z 置信度 0.70
• Toward Precision Oculoplastics: Federated Data, Artificial Intelligence, and the Path to Equitable Therapeutic Discovery
  Oculoplastic and orbital disorders are rapidly entering a new era of precision medicine, driven by advances in genomics, multi-omic profiling, and artificial intelligence (AI). However, the evidence base supporting these innovations remains overwhelmingly Euro…
  crossref Caroline Duncan, Riyona D’Silva, Vinod Gauba 2026-01-17T13:03:28Z 置信度 0.70
• Brilliant Recall but Blunt Intuition: The Gaps in Medical Artificial Intelligence
  europepmc Sarah Meribout 2025 置信度 0.80
• A Multi-Branch Semantic Fusion Network with Knowledge Distillation and Pruning for Lightweight Medical Image Segmentation
  Medical image segmentation is crucial for clinical diagnosis and treatment planning. Existing models often suffer from high computational cost and limited feature representation. We propose a Multi-branch Semantic Fusion Network (MSFNet) that integrates low- a…
  crossref Jiabei Meng 2025-11-18T18:42:15Z 置信度 0.70
• Medical undergraduate students’ awareness and perspectives on artificial intelligence: A developing nation’s context
  Background Artificial intelligence (AI) is reshaping healthcare, yet its integration into medical education remains limited. This study assesses undergraduate healthcare students' knowledge and perceptions of AI, its applications, challenges, and the need for …
  crossref Laveeza H. Syeda, Zoya Batool, Zeeshan Hayder, Shabana Ali 2025-07-15T18:26:00Z 置信度 0.70
• Graphical knowledge acquisition for medical diagnostic expert systems
  Like many textbook authors use text systems for writing their books, expert system authors should have easy to use knowledge acquisition systems for entering and testing their knowledge bases by themselves without much help from 'knowledge engineers'. In this …
  crossref Ute Gappa, Frank Puppe, Stefan Schewe 2004-04-23T05:53:05Z 置信度 0.70
• Deep Learning-Based Automated Detection and Classification of Ovarian Cancer from Medical Imaging
  Ovarian cancer remains one of the most lethal types of gynaecological cancer because it advances asymptomatically and is often identified at an advanced stage. Early and precise identification is a critical to maintain health. Recent advancements in artificial…
  crossref Rajendran Sivakumar 2026-02-17T21:04:07Z 置信度 0.70
• Opportunities and challenges for young physicians in the era of artificial intelligence: current status and future perspectives
  Abstract Artificial Intelligence (AI) has witnessed rapid evolution in recent years and is gradually integrated into healthcare systems worldwide. For young physicians, navigating this landscape requires a delicate balance. They must weigh the potential benefi…
  crossref Bo Gao 2025-04-11T03:30:06Z 置信度 0.70
• MedLoRA: Exploring LoRA and Quantization Combinations for Medical QA
  Large Language Models (LLMs) have achieved remarkable progress across various NLP tasks. However, their adaptation to domain-specific applications such as medical question answering (MQA) faces two major bottlenecks: the cost of fine-tuning and the demand for …
  crossref Kun Liu, Chengyuan Wen 2025-10-08T17:35:46Z 置信度 0.70
• Revolutionizing Pharmacovigilance: The Role of Artificial Intelligence in Enhancing Patient Safety
  Background: Pharmacovigilance (PV) is responsible for monitoring drug safety, and Artificial Intelligence (AI) is a promising technology that has the potential to transform this field.Objective: This article will investigate the role of AI in PV and its potent…
  crossref Sachin Kumar 2025-07-14T05:56:11Z 置信度 0.70
• Artificial intelligence in CT scan range delineation: A systematic review and meta-analysis
  Objectives To thoroughly investigate the impact of artificial intelligence (AI) algorithm-assisted scan range (SR) determination techniques on scan length, anatomical coverage accuracy, and radiation dose (RD) on computed tomography (CT) scans. Methods The lit…
  crossref Mo’men Bani-Ahmad, Andrew England, Laura McLaughlin, Marwan Alshipli 等 2025-11-08T10:36:29Z 置信度 0.70
• A novel framework for improving railway driver performance based on emotional intelligence and job-driven factors: An artificial neural network method
  crossref Narges Hajloo, Behnaz Salimi, Mahdi Hamid, Masoud Rabbani 2025-08-26T16:01:44Z 置信度 0.70
• New challenges and opportunities to explainable artificial intelligence (XAI) in smart healthcare
  crossref Armin Shoughi, Mohammad Bagher Dowlatshahi, Arefeh Amiri 2025-05-07T06:21:44Z 置信度 0.70
• Optimizing MCMC-Driven Bayesian Neural Networks for High-Precision Medical Image Classification in Small Sample Sizes
  This paper discusses the application of a Bayesian neural network based on the Markov Chain Monte Carlo method in medical image classification with small samples. Experimental results on two medical image datasets, including lung X-ray images and breast tissue…
  crossref Mingyu Sun 2025-07-23T18:33:47Z 置信度 0.70
• Explainable Artificial Intelligence for Quality Estimation of MARSIS Observations
  Planetary remote sensing missions are critical for advancing our understanding of extraterrestrial systems. They operate in highly uncertain environments where reliability and resolution are not always guaranteed, often compromising data analysis and scientifi…
  crossref Benedetta Ferrari, Marco Lippi, Giulio Ganzerli, Manuel Iori 等 2025-10-22T10:04:11Z 置信度 0.70
• Macroeconomic productivity gains from Artificial Intelligence in G7 economies
  The paper studies the expected macroeconomic productivity gains from Artificial Intelligence (AI) over a 10-year horizon in G7 economies. It builds on our previous work that introduced a micro-to-macro framework by combining existing estimates of micro-level p…
  crossref Francesco Filippucci, Peter Gal, Katharina Laengle, Matthias Schief 2025-06-26T08:00:53Z 置信度 0.70
• Integrating Vision Transformers and Autoencoders for Liver Image Segmentation in Medical Imaging
  Medical image segmentation is recognized as a critical task in medical imaging, crucial for enabling diagnosis, disease monitoring, and treatment planning. Liver image segmentation is particularly challenging due to the sophisticated structure of the liver and…
  crossref Tai-Jung Chen, Tong Liu 2025-06-17T17:37:57Z 置信度 0.70
• Computational Simulations and Structural Analysis of Bispecific Aptamers Targeting Dual Biomarkers for Enhanced Ovarian Cancer Diagnosis
  Ovarian cancer ranks as the third most common gynecological malignancy. It presents significant global health challenges due to its high mortality rates, mainly resulting from late-stage diagnoses and inadequate early detection methods. Existing diagnostic tec…
  crossref Vyom Sharma, Gaurav Sharma 2026-01-27T04:49:42Z 置信度 0.70
• Incorporating Artificial Intelligence in Stroke Imaging and Treatment
  Artificial intelligence technology is rapidly expanding and has various uses in acute stroke imaging, covering ischemia and haemorrhage subtypes. Early identification of acute stroke is essential to swiftly initiate treatment and reduce the risk of catastrophi…
  crossref Rishabha Malviya, Shivam Rajput 2025-07-17T09:37:01Z 置信度 0.70
• Facial Detection Based on Deep Learning for Emotion Recognition of Medical Staff
  Based on the large amount of sample information from deep learning to establish a face detection model, the emotions of medical staff are detected. To address the issue of insufficient feature information fusion during the deep learning face detection process,…
  crossref Qiangguang Zhang, Wei Zhang 2025-06-23T17:24:40Z 置信度 0.70
• On mining clinical pathway patterns from medical behaviors
  Objective Clinical pathway analysis, as a pivotal issue in ensuring specialized, standardized, normalized and sophisticated therapy procedures, is receiving increasing attention in the field of medical informatics. Clinical pathway pattern mining is one of the…
  crossref Zhengxing Huang, Xudong Lu, Huilong Duan 2012-07-18T15:09:23Z 置信度 0.70
• Artificial Intelligence in Physical Education: Research Trends and Knowledge Structure
  Amid the digital revolution and rapid advancement of artificial intelligence (AI), physical education is undergoing substantial transformation. This study conducts a bibliometric analysis of English-language literature (2000–2025) indexed in the Web of Science…
  crossref Jing Xu, Fengmei Li, Zhenzhen Duan 2026-04-23T08:35:40Z 置信度 0.70
• Research and Application of Artificial Intelligence Assisted Language Education Technology Based on Big Data
  In order to understand artificial intelligence assisted language education technology, a research and application of AI assisted language education technology based on big data has been proposed. The paper first analyzes the key technologies and methods requir…
  crossref Yijun Zhou 2025-11-27T12:18:09Z 置信度 0.70
• The Use of Artificial Intelligence in Medical Technology
  Artificial Intelligence (AI) is transforming the landscape of medical technology by offering innovative solutions for diagnostics, treatment, patient care, and administrative tasks. This paper explores the multifaceted roles of AI in healthcare, its current ap…
  crossref Seema Rani, Sajad Ahmad Malik, Saytam kumar 2025-06-03T05:54:57Z 置信度 0.70
• Artificial Intelligence-Based Detection of Pulmonary Vascular Disease
  crossref Martine Remy-Jardin, Jacques Remy 2022-04-22T01:03:34Z 置信度 0.70
• Research on Unified Appointment Service System of Medical Institutions Based on Cloud Platform and Artificial Intelligence Technology
  crossref Zonghua Zhang, Han Wang, Xijie Dong, Zhen Zhang 等 2025-09-30T22:52:10Z 置信度 0.70
• Cognitive LLMs: Toward Human-Like Artificial Intelligence by Integrating Cognitive Architectures and Large Language Models for Manufacturing Decision-Making
  Resolving the dichotomy between the human-like yet constrained reasoning processes of cognitive architectures (CAs) and the broad but often noisy inference behavior of large language models (LLMs) remains a challenging yet exciting pursuit, aimed at enabling r…
  crossref Siyu Wu, Alessandro Oltramari, Jonathan Francis, C Lee Giles 等 2025-10-21T11:20:19Z 置信度 0.70
• Ethical Challenges in AI–IoT Healthcare Applications
  Artificial Intelligence (AI) and the Internet of Things (IoT) intersect and have transformed healthcare to become an interconnected ecosystem, based on data, intelligent, and smart. The AI-IoT integration can allow a greater level of accuracy and efficiency in…
  crossref M.Mary Linda, Vishnu B, MUTHUPANDI G, P.VIDHYA LAKSHMI 2026-01-23T15:52:54Z 置信度 0.70
• Privacy Preserving Medical Image Classification and Steganography Using Deep Learning Architecture: a Pipeline
  Secure transfer of medical data over unsecured networks is a crucial concern in telemedicine, as it involves the transmission of sensitive patient information that must be protected from unauthorized access. Generative adversarial networks help in hiding arbit…
  crossref Kamal KC, Kushal Devkota, Kalyan Singh Karki, Alaka Acharya 2025-07-07T17:47:34Z 置信度 0.70
• Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
  crossref Chen Qin, Daniel Rueckert 2022-04-22T01:03:34Z 置信度 0.70
• Application of Artificial Intelligence and Wavelet Analysis to Medical Image Analysis
  With the rapid development of artificial intelligence (AI) technology, the application of deep learning in medical image analysis, which is part of AI technology, has become a research hotspot, while traditional signal processing methods such as wavelet analys…
  crossref Luo Sui, Li Jianping 2026-01-28T20:57:11Z 置信度 0.70
• Investigation of Artificial Intelligence Anxiety and Awareness Among Medical Residents
  Aim: Nowadays, when medical specialization is being reshaped with artificial intelligence technologies, this study aimed to evaluate medical residents' concerns about artificial intelligence, their future anxiety about their professional roles, and their ethic…
  crossref Merthan Tunay, Sifa Durna 2025-12-30T08:57:10Z 置信度 0.70
• Research and Exploration on Intelligent Management of Medical Waste: A Case Report
  This study addresses the complexity and challenges of hospital medical waste management and proposes a new intelligent medical waste management system construction scheme based on the Internet of Things (IoT) and artificial intelligence (AI). The system integr…
  crossref Muqing Niu, Zhiyuan Zhao 2025-03-11T13:15:34Z 置信度 0.70
• Artificial intelligence, job seeker, and career trajectory: How AI-based learning experiences affect commitment of fresh graduates to be an accountant?
  Integrating Artificial Intelligence (AI) into the accounting professions is reshaping traditional roles and skill requirements, prompting a reassessment of how graduates are prepared for these changes. However, a significant gap exists in understanding how AI-…
  crossref Agung Maulana, Rakotoarisoa Maminirina Fenitra, Slamet Sutrisno, Kurniawan 2025-05-06T19:30:02Z 置信度 0.70
• Practice and Exploration of Teaching Python Programming for Business Majors Based on Artificial Intelligence Assistance
  This study focuses on evaluating the effectiveness of AI-assisted AI-based instructional practices for teaching Python programming to business majors. The study analyzed the distribution of students’ final grades by comparing the class that used the traditiona…
  crossref Jixu Zhu, Jiawen Li 2025-04-11T13:45:11Z 置信度 0.70
• Fair Contribution Evaluation in Federated Learning for Medical Image Analysis Using the Banzhaf Index
  This paper explores the application of Federated Learning (FL) in medical image analysis, with a focus on how the Banzhaf Index can be used to assess participants' contributions. Federated Learning, as a distributed machine learning approach, allows for collab…
  crossref Boyang Deng 2025-06-23T17:24:40Z 置信度 0.70
• AI-Driven OCR for Comprehensive Medical Label Interpretation
  This paper presents a comprehensive analysis of Optical Character Recognition (OCR) technology and its relevance to the healthcare industry with a specific emphasis on recognition of medical tags and texts. OCR technology considerably facilitates the process o…
  crossref Aditya Kushwaha, Pranjal Prasad, Aarna Singh, Tanu Sharma 等 2025-07-14T17:40:02Z 置信度 0.70
• Prompt-Driven Knowledge Retrieval in Arabic Medical Agents via Graph-RAG and LLM
  crossref Ahlem Khlifi, Rebh Soltani, Hela Ltifi 2026-03-12T00:11:41Z 置信度 0.70
• Foundational artificial intelligence models and modern medical practice
  Abstract Our opinion piece pays homage to the evolution of medical practices, tracing back to the era of Hippocrates, through significant historical milestones, and drawing parallels with the principles underpinning foundational artificial intelligence (AI) mo…
  crossref Alpay Medetalibeyoglu, Yury S Velichko, Eric M Hart, Ulas Bagci 2024-12-18T16:36:33Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING: ENHANCING DIAGNOSTIC ACCURACY
  The healthcare industry underwent revolutionary changes because medical imaging systems enable early disease identification combined with precise diagnoses while planning successful treatments. The development of MRI, CT scanning, and ultrasound technologies b…
  crossref Dr. Kanak Soni, Dr. Keerthana R, Rahul Gangwar, Rashmi Singh 等 2025-03-06T05:59:18Z 置信度 0.70
• Artificial intelligence as another set of eyes in breast cancer diagnosis
  Breast cancer is the most common cancer in women worldwide and the second most common cancer overall, hence it is a significant public health concern. According to Global Health Estimates (1), over half a million women died in 2011 due to breast cancer.
  crossref Syed M. Anwar, Ulas Bagci 2019-05-08T08:05:16Z 置信度 0.70
• The Inevitable Artificial Intelligence Revolution in Healthcare
  The diagnosis of a disease is the first and the most important phase of a patient’s treatment. Human errors can lead to miscalculated detection of disease, causing a delay in treatment, which can lead to irreversible damage like death. While physicians may dia…
  crossref Sarthak Goel, Anamika Guha, B. K. Tripathy 2024-11-19T14:08:57Z 置信度 0.70
• Security-based explainable artificial intelligence (XAI) in healthcare system
  Explainable Artificial Intelligence (XAI) is one of the most advanced research areas of Artificial Intelligence (AI). To explain the deep learning (DL) model is the main objective of XAI. It deals with artificial models which are understandable to humans, incl…
  crossref Hüseyin Gürüler, Naveed Islam, Alloud Din 2022-11-23T03:11:32Z 置信度 0.70
• Perceptions and Intentions to Use Generative Artificial Intelligence Among First-Year Medical Students in Japan: Cross-Sectional Survey Study (Preprint)
  BACKGROUND The rise of generative artificial intelligence (gAI) has created both opportunities and challenges in higher education. Although the potential benefits of learning support are widely recognized, little is known about how incoming medical students in…
  crossref Hiroshi Tajima, Hajime Kasai, Kiyoshi Shikino, Ikuo Shimizu 等 2025-05-20T12:35:06Z 置信度 0.70
• Mobile Telemedicine Systems with Artificial Medical Intelligence
  We consider mobile telemedicine systems with artificial medical intelligence (MTMS with AMI) the best solution for mass screening of the population in rural, remote and hard-to-access areas. In Russia, more than 110,000 settlements with about 33 million people…
  crossref Sergey Garichev, Viktor Klassen, Michael Natenzon, Artem Safin 等 2020-02-25T04:44:38Z 置信度 0.70
• Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions
  Artificial intelligence in ophthalmology and visual sciences: Current implications and future directions
  crossref Smaha Jahangir, Hashim Ali Khan 2021-10-27T05:04:19Z 置信度 0.70
• Cardiac Nuclear Medicine: The Role of Artificial Intelligence
  crossref Marina Piccinelli, Ernest V. Garcia 2022-04-22T01:03:34Z 置信度 0.70
• Corrigendum to “Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology” [Eng. Appl. Artific. Intellig. 150 (2025) 1–19 110580]
  crossref Guolong Wang, Kelvin C.P. Wang, Guangwei Yang 2025-06-24T23:46:27Z 置信度 0.70
• Utility of Generative Artificial Intelligence for Japanese Medical Interview Training: A Randomized Crossover Pilot Study (Preprint)
  BACKGROUND The medical interview remains a cornerstone of clinical training. There is growing interest in applying generative artificial intelligence (AI) in medical education, including medical interview training. However, its utility in culturally and lingui…
  crossref Takanobu Hirosawa, Masashi Yokose, Tetsu Sakamoto, Yukinori Harada 等 2025-05-12T14:10:09Z 置信度 0.70
• Practical implementation of artificial intelligence technologies during preventive medical examination
  Introduction. Preventive medicine in Russia is a priority area, the key task of which is to combat the spread of chronic noncommunicable diseases (CKD). The latter are the cause of the premature death of hundreds of people. In this regard, the issues of develo…
  crossref P. V. Seliverstov, E. V. Kryukov, V. B. Grinevich 2025-09-10T06:44:03Z 置信度 0.70
• Using artificial intelligence to provide a ‘flipped assessment’ approach to medical education learning opportunities
  PURPOSE: Generative AI can potentially streamline the creation of practice exam questions. This study sought to evaluate medical students' confidence using generative AI for this purpose, and overall attitudes towards its use. MATERIALS AND METHODS: The study …
  openalex Samuel Birks, James Gray, Claire Darling-Pomranz 2024-12-01 置信度 0.72 Generative grammarFlipped learningMedical educationArtificial intelligencePsychology
• Analysis of Vocal Training Feedback Mechanisms Assisted by Artificial Intelligence
  With the rapid advancement of artificial intelligence (AI) and computer technologies, AI-powered systems are increasingly being integrated into vocal training to enhance the effectiveness and accuracy of lessons. This article explores how AI-driven feedback me…
  crossref Conghe Feng, Xia Tian 2026-01-12T10:15:34Z 置信度 0.70
• Constraint-Based Optimization for Scheduling Medical Appointments
  crossref George Assaf, Sven Löffler, Petra Hofstedt 2025-02-28T12:43:20Z 置信度 0.70
• Construction and Empirical Research of Adaptive Learning System Empowered by Artificial Intelligence
  This paper constructs an AI-enabled adaptive learning system that integrates multimodal perception and deep reinforcement learning. This system adopts a four-layer closed-loop architecture of perception, decision, making, execution, feedback. The core modules …
  crossref Hui Zhang, Dong-jun Wei 2026-04-23T08:35:40Z 置信度 0.70
• Research Status of International Sports Artificial Intelligence: Visualization Analysis Based on the WoS Database
  Artificial intelligence (AI) technology is reshaping research paradigms and industrial practices in sports science. However, current research in sports AI exhibits fragmentation, lacks systematic interdisciplinary integration and theoretical development, and s…
  crossref Yuehang Diao 2026-01-30T09:50:45Z 置信度 0.70
• Dual Cross-Attention for medical image segmentation
  crossref Gorkem Can Ates, Prasoon Mohan, Emrah Celik 2023-09-20T13:47:28Z 置信度 0.70
• How to Write and Review an Artificial Intelligence Paper
  crossref Thomas Weikert, Tim Leiner 2022-04-22T01:03:34Z 置信度 0.70
• Design strategies for artificial intelligence based future learning centers in medical universities
  BACKGROUND: This study explores the acceptance of artificial intelligence(AI) tools in medical students and its influencing factors, thus providing theoretical basis and practical guidance for the construction of future learning centers in medical universities…
  openalex Yang Xiaowen, Ding Jingjing, Wang Biao, Zhang Shenzhong 等 2025-01-31 置信度 0.72 ContinuanceExpectancy theoryUnified theory of acceptance and use of technologyKnowledge managementStructural equation modeling
• The prospect of artificial intelligence in the differential diagnosis of pancreatic cysts
  The title of the work we are here presenting “ Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions ” immediately strikes the interest of readers, especially…
  crossref Marco Montorsi, Giovanni Capretti 2019-10-12T03:16:41Z 置信度 0.70
• Connectionist expert systems as medical decision aid
  In this paper neural networks are used as associative memories to build an expert system for aiding medical diagnosis. As in expert systems using symbolic manipulation, the knowledge is introduced by a knowledge engineer using a collection of known cases. The …
  crossref Jorge M. Barreto, Fernando M. de Azevedo 2004-04-23T05:53:05Z 置信度 0.70
• Artificial intelligence in medical education
  crossref Priyanga Subbiah, Lakshmi Kanthan Narayanan, Rengaraj Alias Muralidharan Ramanujam, Arun Prasad Baskaran 等 2024-05-31T06:51:29Z 置信度 0.70
• Literature Review of Segmentation and Classification of Medical Images
  The brain tumor segmentation is one of the highly focused regions in the community of medical science. Brain tumor segmentation has been employed to define the tumor area to help for disease diagnosis and select the best methods for the treatment of diseases. …
  crossref Noha A. El-Hag 2022-07-01T20:40:02Z 置信度 0.70
• Artificial Intelligence-Enabled IOMT for Medical Application
  The present pandemic has put the whole of humanity under threat of getting infected by a deadly coronavirus. Remote health monitoring systems can help such patients to get advice related to the required treatment from doctors at remote locations. The first par…
  crossref Lochan Jolly, Niket Amoda, K. Mishra 2023-10-13T09:29:49Z 置信度 0.70
• Automated MRI-Based Brain Tumor Classification Using CNN Models
  crossref Shaga Anoosha, B. Seetharamulu 2025-10-01T00:12:24Z 置信度 0.70
• Cardiac Ultrasound Imaging: The Role of Artificial Intelligence
  crossref Karthik Seetharam, Partho P. Sengupta 2022-04-22T01:03:34Z 置信度 0.70
• Enhancing medical image classification through controlled diversity in ensemble learning
  crossref Manojeet Roy, Ujwala Baruah 2024-02-26T09:59:30Z 置信度 0.70
• Artificial Intelligence, Authorship and Aesthetic Responsibility in Art
  crossref Catrin Misselhorn 2025-10-13T02:00:41Z 置信度 0.70
• VAdvances in artificial intelligence risk management
  crossref Kurt J. Engemann 2025-11-19T13:36:46Z 置信度 0.70
• Teaching Strategies for Improving Memory Effect of College English Vocabulary Based on Artificial Intelligence Algorithm
  With the rapid development of artificial intelligence technology, the field of education has also ushered in a new round of change, especially in English vocabulary learning, the auxiliary role of artificial intelligence algorithms has become increasingly appa…
  crossref Zhang Yuanwei 2025-07-23T18:33:47Z 置信度 0.70
• Empowering Geography Education with Artificial Intelligence: Exploring Application Practices and Reform Pathways
  With the rapid development of artificial intelligence technology, the field of education is experiencing a transformative opportunity. This paper explores the application practices and reform pathways of AI in geography education. By analyzing the intersection…
  crossref Jia Yu, Dalong Ma, Xiangwen Wu 2025-09-23T17:24:05Z 置信度 0.70
• Data Security and Privacy Protection of Artificial Intelligence from the Perspective of Collaborative Governance
  This research systematically explores the issues of data privacy protection and security governance in the era of artificial intelligence (AI), revealing three core contradictions within the realm of data security: the conflict between the efficiency demands o…
  crossref Zhi Sheng 2025-12-16T18:30:12Z 置信度 0.70
• La inclusión de la diversidad en los sistemas de inteligencia artificial de soporte a decisiones sanitarias como manifestación del enfoque de derechos humanos
  This paper analyzes the relevance of diversity inclusion as a principle and how it can contribute to preventing bias in health care decisions supported by artificial intelligence-based systems. First, it is proposed to address the content of the principle of d…
  crossref Edison Calahorrano Latorre 2025-08-08T14:13:33Z 置信度 0.70
• An interpretable fuzzy rule-based classification methodology for medical diagnosis
  Objective The aim of this paper is to present a novel fuzzy classification framework for the automatic extraction of fuzzy rules from labeled numerical data, for the development of efficient medical diagnosis systems. Methods and materials The proposed methodo…
  crossref Ioannis Gadaras, Ludmil Mikhailov 2009-06-19T08:45:21Z 置信度 0.70
• MLEF: Multi-Level Emotion Feature Representation for Depression Detection Leveraging Fine-Grained Emotion Lexicon
  Depression is a prevalent mental health condition, and by analyzing social posts to detect depression can be a promising approach to address this issue. Currently, mainstream detection methods focus on analyzing how people express themselves in posts, includin…
  crossref Shuangwei Tang 2026-01-14T18:07:00Z 置信度 0.70
• Towards Data-Driven Chronic Disease Prevention: Interpretable Machine Learning Models for Diabetes Risk Screening
  With the continuous rise in the incidence of diabetes in recent years, establishing efficient and accurate early prediction models has become a key task in chronic disease prevention and control. Traditional statistical methods face limitations in capturing no…
  crossref Yuejia Wang 2026-01-14T18:07:00Z 置信度 0.70
• Smart artificial pancreas: Sensor-based glucose and insulin control by deep stochastic policy learning
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