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• KNOWLEDGE OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN HEALTH CARE WORKERS
  Objective: To assess the knowledge and extent of application of artificial intelligence among healthcare workers along with comparison between male and female gender as well as seniority of healthcare workers. Materials and Methods: A cross-sectional study was…
  crossref Shamsa Arshad Butt 2026-06-15T05:43:38Z 置信度 0.70
• A constrained-syntax genetic programming system for discovering classification rules: application to medical data sets
  This paper proposes a new constrained-syntax genetic programming (GP) algorithm for discovering classification rules in medical data sets. The proposed GP contains several syntactic constraints to be enforced by the system using a disjunctive normal form repre…
  crossref Celia C. Bojarczuk, Heitor S. Lopes, Alex A. Freitas, Edson L. Michalkiewicz 2003-12-04T11:59:03Z 置信度 0.70
• An Artificial Intelligence Solution For Reduce Complications at Tissue Expansion
  In this study, a robust artificial intelligence system which aims to minimize the common complications in the application of balloon plasty method which has been used for more than half a century and its application is explained. The system was tested as a pro…
  crossref Rıfat Uğurlutan, Murat Ayaz 2019-11-13T09:53:58Z 置信度 0.70
• Bridging artificial intelligence in medicine with generative pre-trained transformer (GPT) technology
  Abstract: Since its public release in November 2022, the usage of ChatGPT (Open AI, USA) has been unprecedented. This large language model (LLM) can produce human-like text from deep-learning techniques. LLMs are rapidly approaching human-level performance. Ch…
  crossref Ethan Waisberg, Joshua Ong, Sharif Amit Kamran, Mouayad Masalkhi 等 2023-08-04T08:53:32Z 置信度 0.70
• Artificial Intelligence as an Enabler of Smart Medical Tourism: A Comparative Study of India and Uzbekistan
  crossref Jiyanov Uktam Panjiyevich, Nidhi Singh, Esonboev Bakhodir Bakir Ugli 2026-08-03T15:55:02Z 置信度 0.70
• An Empirical Comparison of Topic Models: LDA, NMF, and BERTopic Applied to Hotel Customer Reviews
  crossref Salwa Khalyl, Zoubir Zarrouk 2026-07-14T13:54:25Z 置信度 0.70
• Theme Identification for Linked Medical Data
  crossref Siham Eddamiri, Elmoukhtar Zemmouri, Asmaa Benghabrit 2020-07-18T15:03:55Z 置信度 0.70
• Rethinking Privacy in Medical Imaging AI: From Metadata and Pixel-Level Identification Risks to Federated Learning and Synthetic Data Challenges
  This report reviews methods for preparing imaging data for artificial intelligence applications, focusing on the need for robust privacy protection through de-identification, federated learning, and synthetic data generation, while highlighting the potential r…
  crossref Konstantina Giouroukou, Kostas Marias, Manolis Tsiknakis, Michail E. Klontzas 2025-11-26T14:47:53Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE IN MEDICAL SCIENCE: EARLY LUNG CANCER CELL DETECTION USING DEEP LEARNING
  Artificial intelligence is currently playing a key and important part in medical science. The medical industry is undergoing a significant transformation due to evolution. This chapter mostly contributes to the advancement of lung cancer research. Lung cancer …
  crossref Shalini Wankhade, Dr. Manohar Kodmelwar, Dr. Pravin Futane, Kishor Pathak 等 2024-06-13T06:13:35Z 置信度 0.70
• Artificial Intelligence for Medical Image Interpretation Using Expert Knowledge and Machine Learning
  In 2022 268,490 new cases and 34,500 deaths was estimated for prostate cancer in the United States. Diagnosis of prostate cancer is primarily based on prostate-specific antigen (PSA) screening and trans-rectal ultrasound (TRUS)-guided prostate biopsy. PSA has …
  crossref Lars E.O. Jacobson, Adrian A. Hopgood, Mohamed Bader-El-Den, Vincenzo Tamma 等 2023-08-02T17:34:37Z 置信度 0.70
• Big Data Framework Using Spark Architecture for Dose Optimization Based on Deep Learning in Medical Imaging
  Deep learning and machine learning provide more consistent tools and powerful functions for recognition, classification, reconstruction, noise reduction, quantification and segmentation in biomedical image analysis. Some breakthroughs. Recently, some applicati…
  crossref Clémence Alla Takam, Aurelle Tchagna Kouanou, Odette Samba, Thomas Mih Attia 等 2021-05-14T06:45:45Z 置信度 0.70
• Comparative Analysis of Large Language Models (LLMs) in Generating Medical Board-Style Assessment Items
  This study explores the emerging field of artificial intelligence (AI) in medical education, with a focus on the application of large language models (LLMs) in creating and explaining medical school-level assessment items. Recent attention has focused on how L…
  crossref Sage Arbor, Mariluz Henshaw, Raquel Ritchie, Verena Van Fleet 等 2026-03-25T13:00:09Z 置信度 0.70
• An interpretable multimodal transformer for medical report generation via hierarchical semantics and clinical labeling
  crossref Jia Sheng Yang, Chenbo Xia, Wei Li, Xu Xiao 2026-04-10T10:16:31Z 置信度 0.70
• A Compartmental Model for the Transition from Healthy to Sarcopenia and Type 2 Diabetes
  crossref Abdesslam Boutayeb, Wiam Boutayeb, E. N. Mohamed Lamlili 2026-05-27T00:36:57Z 置信度 0.70
• Do Japanese word-embedded representations obtained in the academic corpus retain the medical concepts of “infarction”?
  Objective The pathophysiological concepts of diseases are encapsulated in patients' medical histories. Whether information on the pathophysiology or anatomy of "infarction" can be preserved and objectively expressed in the distributed representation obtained f…
  crossref Daiki Yokokawa, Kazutaka Noda, Takanori Uehara, Yasutaka Yanagita 等 2023-06-10T11:36:01Z 置信度 0.70
• Measurement of Integrity Genes in Family Businesses Based on Artificial Intelligence
  The unique governance model and integrity crisis of family businesses have been deeply analyzed. The concept of the “integrity gene” of family businesses has been systematically proposed and quantified. According to the enterprise gene theory and the developme…
  crossref Fu Han, Ganglan Wei 2026-01-16T11:06:56Z 置信度 0.70
• Artificial intelligence meets medical expertise: evaluating GPT-4's proficiency in generating medical article abstracts
  Purpose: The advent of large language models like GPT-4 has opened new possibilities in natural language processing, with potential applications in medical literature. This study assesses GPT-4's ability to generate medical abstracts. It compares their quality…
  crossref Ergin Sağtaş, Furkan Ufuk, Hakkı Peker, Ahmet Baki Yağcı 2024-06-03T06:31:38Z 置信度 0.70
• AI-Ready Physicians: Designing Entrustable Professional Activities on Utilizing Artificial Intelligence in Clinical Practice for Post-Graduate Medical Trainees
  crossref Russell D'Souza 2025-06-16T09:37:10Z 置信度 0.70
• From Open Conversion to Artificial Intelligence Override: Preventing Cognitive Deskilling in AI-Augmented Surgical Education (Preprint)
  UNSTRUCTURED Artificial intelligence (AI) is rapidly entering surgical education through video-based skill assessment, robotic performance analytics, simulation-based feedback, computer vision, augmented reality overlays, and decision-support tools. These syst…
  crossref Dabeluchi Ngwu 2026-06-19T20:25:07Z 置信度 0.70
• Brain MRI Segmentation
  This chapter presents a critical overview of brain MRI segmentation, a foundational technique in contemporary neuroscience with wide-ranging clinical and research applications. Magnetic Resonance Imaging (MRI) is particularly valued for its ability to produce …
  crossref Tanmoy Debnath, Shayne Chau, Md Geaur Rahman 2026-04-21T09:15:48Z 置信度 0.70
• The Characteristics of the Non-Linear Dynamics of the Electroencephalograms of Patients with Trigeminal Neuralgia
  This article examines the application of nonlinear dynamics methods to the study of the electroencephalograms (EEG) of patients with trigeminal neuralgia (TN). The author has calculated delay time and embedding dimensions values and constructed recurrent EEG d…
  crossref Vitaly P. Omelchenko, Irina O. Mihalchich 2014-09-06T03:29:25Z 置信度 0.70
• The Evolution of Artificial Intelligence in Pediatric Medical Imaging and Diagnostics: A Bibliometric Analysis
  crossref Aya Al-Alwani, Hanan Shaher Almarashdi, Najah Al Mohammedi, Maha Alhabbash 等 2026-08-04T19:18:30Z 置信度 0.70
• Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer
  Objective Machine learning techniques can be used to extract predictive models for diseases from electronic medical records (EMRs). However, the nature of EMRs makes it difficult to apply off-the-shelf machine learning techniques while still exploiting the ric…
  crossref Mark Hoogendoorn, Peter Szolovits, Leon M.G. Moons, Mattijs E. Numans 2016-04-02T02:34:55Z 置信度 0.70
• Artificial Intelligence: The New Frontier in Surgery
  This review aims to discuss the advances in artificial intelligence (AI) and the role it now plays in surgery. The discussion outlines the many capabilities of AI in improving the way in which surgery is conducted and a critical review of new AI developments. …
  crossref MICHAEL MCFARLANE 2020-07-29T05:23:25Z 置信度 0.70
• Artificial Intelligence in Medical Imaging
  Artificial intelligence (AI) in cancer image interpretation continues to evolve with complementary advances in image acquisition systems, imaging protocols, and machine learning tools, as well as expanding clinical tasks. AI can be defined as having computers …
  crossref Heather M. Whitney, Maryellen L. Giger 2021-10-05T18:24:33Z 置信度 0.70
• Domain Knowledge-Aided Explainable Artificial Intelligence
  crossref Sheikh Rabiul Islam, William Eberle 2022-04-18T12:03:16Z 置信度 0.70
• Impact of Artificial Intelligence in Healthcare
  The application of artificial intelligence (AI) in the healthcare sector has brought about a revolution in the early prediction of various diseases. The chapter explores the transformative potential of artificial intelligence in the early diagnosis and predict…
  crossref Abhirup Bhattacharya, Zdzislaw Polkowski 2024-06-26T20:58:52Z 置信度 0.70
• Artificial Intelligence in Dentistry: The Current Concepts and a Peek into the Future
  Introduction: Humans have recreated intelligence for effective human decision making and to unburden themselves of the stupendous workload.Artificial intelligence can act as a supplemental tool to improve diagnosis and treatment care but intelligent machines c…
  crossref Shilpi Sharma 2020-04-13T20:35:15Z 置信度 0.70
• Role of Explainable Artificial Intelligence (XAI) in Prediction of Non-Communicable Diseases (NCDs)
  Explainable artificial intelligence (XAI) concentrated on methods and models that simplify the comprehending and analysis of the ML models operation. Using XAI, systems deliver the essential facts to defend outcomes, mostly when unpredicted conclusions are mad…
  crossref Jana Shafi, Shamayita Basu, Selvani Deepthi Kavila 2022-05-16T09:48:23Z 置信度 0.70
• Competitive dual-students using bi-level contrastive learning for semi-supervised medical image segmentation
  crossref Gang Hu, Feng Zhao, Essam H. Houssein 2025-01-26T01:55:25Z 置信度 0.70
• Unlocking the potential of qualitative research for the implementation of artificial intelligence-enabled healthcare
  Artificial intelligence (AI)-enabled clinical decision support tools (CDSTs) are complicated technologies, which form the basis of complex AI-enabled healthcare interventions.Research of AI-enabled CDSTs has proliferated, with 57,844 model development studies …
  crossref Henry David Jeffry Hogg, Mark Philip Sendak, Alastair Keith Denniston, Pearse Andrew Keane 等 2023-06-27T08:10:53Z 置信度 0.70
• Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
  The full acceptance of Deep Learning (DL) models in the clinical field is rather low with respect to the quantity of high-performing solutions reported in the literature. End users are particularly reluctant to rely on the opaque predictions of DL models. Unce…
  crossref Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene 等 2024-03-04T07:36:33Z 置信度 0.70
• Benefits of using artificial intelligence in medical predictions
  Medicine is a domain where predictions are very important. This paper encourages the use of artificial intelligence (AI) as technological support for decision-making in medical life. Not because the human intelligence would not be enough, but because the mecha…
  crossref Adriana Albu, Loredana Stanciu 2016-03-25T21:10:08Z 置信度 0.70
• Dialectical models in artificial intelligence and law
  crossref Jaap Hage 2002-12-22T14:41:38Z 置信度 0.70
• Artificial nonmonotonic neural networks
  crossref B. Boutsinas, M.N. Vrahatis 2002-10-14T13:01:41Z 置信度 0.70
• Intelligence, Artificial Intelligence and 6G Cellular Networks
  crossref Haesik Kim 2026-01-10T04:47:44Z 置信度 0.70
• A trusted medical image super-resolution method based on feedback adaptive weighted dense network
  High-resolution (HR) medical images are preferred in clinical diagnoses and subsequent analysis. However, the acquisition of HR medical images is easily affected by hardware devices. As an effective and trusted alternative method, the super-resolution (SR) tec…
  crossref Lihui Chen, Xiaomin Yang, Gwanggil Jeon, Marco Anisetti 等 2020-05-16T12:25:00Z 置信度 0.70
• Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences
  Objectives Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model, and whethe…
  crossref Anthony Costa Constantinou, Barbaros Yet, Norman Fenton, Martin Neil 等 2015-09-08T15:46:10Z 置信度 0.70
• Interactive medical image segmentation via a point-based interaction
  Due to low tissue contrast, irregular shape, and large location variance, segmenting the objects from different medical imaging modalities (e.g., CT, MR) is considered as an important yet challenging task. In this paper, a novel method is presented for interac…
  crossref Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang 等 2020-11-28T11:16:14Z 置信度 0.70
• Examining Ghana's Health Professions Regulatory Bodies Act, 2013 (Act 857) To Determine Its Adequacy in Governing the Use of Artificial Intelligence in Healthcare Delivery and Medical Negligence Issues
  This analysis examines Ghana’s Health Professions Regulatory Bodies Act, 2013 (Act 857) to assess its fitness to govern the ascent of artificial intelligence (AI) in reshaping healthcare delivery. As advanced algorithms supplement or replace human judgments, d…
  crossref George Benneh Mensah 2024-03-22T06:33:45Z 置信度 0.70
• Informed Consent and Medical Artificial Intelligence: What to Tell the Patient?
  crossref I. Glenn Cohen 2020-02-27T11:31:14Z 置信度 0.70
• Digitalization and artificial intelligence in laboratory medicine
  crossref Banu Isbılen Basok 2020-05-27T07:09:26Z 置信度 0.70
• Geometric reasoning and artificial intelligence: Introduction to the special volume
  crossref Deepak Kapur, Joseph L. Mundy 2003-03-14T08:02:52Z 置信度 0.70
• The impact of artificial intelligence on human memory and intelligence
  crossref Luca Saba 2026-02-20T12:39:58Z 置信度 0.70
• Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders
  Classification systems such as ICD-10 for diagnoses or the Swiss Operation Classification System (CHOP) for procedure classification in the clinical treatment are essential for clinical management and information exchange. Traditionally, classification codes a…
  crossref Yihan Deng, André Sander, Lukas Faulstich, Kerstin Denecke 2018-10-29T18:39:48Z 置信度 0.70
• Artificial Intelligence in Health Care – A Study on Perceptions of and Readiness for Artificial Intelligence in Health-care Professionals
  Abstract Background: With a call to action from the health-care industry and the Indian government, there are significant gaps in health-care professionals’ uptake and utilization of artificial intelligence (AI)-based tools. This study attempts to explore the …
  crossref Manvinder Tezpal, Subhodeep Ghosh, Radhika Lalwani, Jyoti Yadav 等 2024-03-26T09:01:09Z 置信度 0.70
• Applications of Artificial Intelligence (AI) in Medical Education: A Scoping Review
  Artificial Intelligence (AI) is increasingly used to support medical students’ learning journeys, providing personalized experiences and improved outcomes. We conducted a scoping review to explore the current application and classifications of AI in medical ed…
  crossref Fatima Nagi, Rawan Salih, Mahmood Alzubaidi, Hurmat Shah 等 2023-06-30T07:55:01Z 置信度 0.70
• When Artificial Intelligence Meets Daoism
  crossref Fei Gai 2021-09-08T12:11:34Z 置信度 0.70
• Uncertainty, Safety, and Performance: A Generalizable Approach to Risk- Based (Therapeutic) Decision Making
  From a perspective of applying deterministic, physiological models to clinical scenarios, the application of artificial intelligence (AI) in medicine is currently focused on decision support (DS) tools that provide guidance and “human-in-the-loop” feedback for…
  crossref 2013-10-11T17:35:58Z 置信度 0.70
• Artificial Intelligence Integration in Medical Education: A Landscape with HOT Dimensions in Viet Nam
  The study adopted a mixed-methods approach to: (i) describe the landscape of Artificial Intelligence (AI) adoption in medical schools in Viet Nam; (ii) analyze critical factors affecting the integration of AI in medical education; (iii) present key strategic a…
  crossref Sang Minh Le, Giang Bảo Kim 2026-06-13T02:11:51Z 置信度 0.70
• Image Processing and Analysis
  crossref Euclid Seeram, Vijay Kanade 2024-08-14T10:02:01Z 置信度 0.70
• Utilizing Artificial Intelligence to Revolutionize Cancer Screening Through the Application of Predictive Analytics in Public Health
  crossref Tarun Madan Kanade, Radhakrishna Batule, Payal Sanan, Jonathan Sudhir Joseph 2025-10-01T00:28:50Z 置信度 0.70
• Artificial Intelligence-Based Systems for Combating COVID-19
  crossref Sandeep Kr. Sharma, S. Rakesh kumar, N. Gayathri, Rajiv Kumar Modanval 等 2021-09-29T15:28:56Z 置信度 0.70
• The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare and clinical trials in skeletal dysplasia: a paradigm for treating rare diseases
  These important subjects have been chosen to have free online access. In addition, the Bulletin has a section to celebrate its amazing archive, (see end of this section). The British Medical Bulletin (BMB) on its website also has a fascinating section on the N…
  crossref Norman Vetter 2021-09-10T12:57:46Z 置信度 0.70
• Ethical AI: A qualitative study exploring ethical challenges and solutions on the use of AI in medical imaging
  Artificial Intelligence (AI) is being rapidly deployed in clinical practice in medical imaging settings worldwide. AI applications have the potential to transform this discipline and provide better patient outcomes. However, many ethical challenges exist when …
  crossref Nikolaos Stogiannos, Eleni Georgiadou, Nikoleta Rarri, Christina Malamateniou 2025-01-25T18:22:41Z 置信度 0.70
• Ethical Considerations of Artificial Intelligence Applications in Healthcare
  crossref Judy Wawira Gichoya, Carolyn Meltzer, Janice Newsome, Ramon Correa 等 2022-04-22T01:03:34Z 置信度 0.70
• Response to: Impact of ChatGPT and Artificial Intelligence in the Contemporary Medical Landscape
  crossref José Darío Martínez-Ezquerro 2023-06-24T19:14:17Z 置信度 0.70
• Intelligence news letter
  crossref Laurence Leff 2003-04-07T16:11:55Z 置信度 0.70
• The impact of artificial intelligence on human life
  crossref M. Rani 2026-01-29T14:21:15Z 置信度 0.70
• Annals of Mathematics and Artificial Intelligence
  crossref 2002-12-29T19:13:07Z 置信度 0.70
• Artificial Intelligence in Medicine in Europe AIME’03
  crossref Michel Dojat, Elpida Keravnou 2004-12-16T00:42:41Z 置信度 0.70
• Clinical Governance, Quality Management, and Radiation Protection in Diagnostic and Interventional Radiology: A Scoping Review within the Italian National Health Service (SSN), 2016–2026
  TITLE: Clinical Governance, Quality Management, and Radiation Protection in Diagnostic and Interventional Radiology: A Scoping Review within the Italian National Health Service (SSN), 2016–2026 DESCRIPTION / ABSTRACT: Background: In modern healthcare settings,…
  datacite MARZIA RECCHIA 2026 置信度 0.66 RadiologyPublic HealthMedicine and Health SciencesMedical SpecialtiesRadiological Governance; Clinical Risk Management; Quality Management Systems; Radiation Protection; Legislative Decree 101/2020; Law 24/2017; Diagnostic Reference Levels (DRLs); Radiation Dose Monitoring Systems (RDMS); Scoping Review; Italian National Health Service (SSN).
• Data for:GenAI-Assisted Learning Behaviors and Systems Thinking of Medical Students in Ill-Structured Problem Solving
  This dataset contains the research data used in the study entitled “Learning Behaviors Related to Systems Thinking and Cognitive Perceptions of Undergraduates in GenAI-Assisted Ill-Structured Problem Solving.” The dataset was collected from undergraduate stude…
  datacite Gao, Zitong, Zhang, Pingmei, Tan, Jiaxi, Shi, Wen 等 2026 置信度 0.66 Artificial IntelligenceMedical Education
• Data for:GenAI-Assisted Learning Behaviors and Systems Thinking of Medical Students in Ill-Structured Problem Solving
  This dataset contains the research data used in the study entitled “Learning Behaviors Related to Systems Thinking and Cognitive Perceptions of Undergraduates in GenAI-Assisted Ill-Structured Problem Solving.” The dataset was collected from undergraduate stude…
  datacite Gao, Zitong, Zhang, Pingmei, Tan, Jiaxi, Shi, Wen 等 2026 置信度 0.66 Artificial IntelligenceMedical Education
• Role of Artificial Intelligence in COVID-19 Detection
  The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stopping the s…
  openalex Anjan Gudigar, U. Raghavendra, Sneha Nayak, Chui Ping Ooi 等 2021-12-01 置信度 0.72 Coronavirus disease 2019 (COVID-19)PandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Livelihood2019-20 coronavirus outbreak
• Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence
  Due to the rapid growth of the elderly around the world, the artificial intelligence control framework can collect information and apply it and perform other tasks. Artificial intelligence plays an important role in focusing on the elderly. For example, it can…
  openalex Jinjin Rong, Xu Ji, Fang Xin, Moon-Hwan Jee 2022-01-18 置信度 0.72 LonelinessFeelingElderly peoplePsychologyHealth care
• WHO and ITU establish benchmarking process for artificial intelligence in health
  openalex Thomas Wiegand, Ramesh Krishnamurthy, Monique M. Kuglitsch, Naomi Lee 等 2019-03-29 置信度 0.72 ScopusBenchmarkingEconomic shortageArtificial intelligenceHealth care
• Smart data processing for energy harvesting systems using artificial intelligence
  openalex S. Divya, Swati Panda, Sugato Hajra, Rathinaraja Jeyaraj 等 2022-12-09 置信度 0.72 Energy harvestingTriboelectric effectContext (archaeology)RoboticsArtificial intelligence
• The numeric representation of knowledge and logic—Two artificial intelligence applications in medical education
  MEDCAT (medical diagnosis, consultation, and teaching) is a program that makes diagnoses from empiric data stored in patient records, explains its reasoning in response to questions (consultant mode), and uses its logical and communicative skills to instruct m…
  openalex W. D. Hagamen, Martin Gardy 1986-01-01 置信度 0.72 MemorizationComputer scienceMedical diagnosisInterface (matter)Mode (computer interface)
• Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy
  Importance: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owing to limi…
  openalex Eli Ipp, David R. Liljenquist, Bruce W. Bode, Viral N. Shah 等 2021-11-15 置信度 0.72 Diabetic retinopathyMedicineEye examinationFundus photographyRetinopathy
• Medical imaging-based artificial intelligence in pneumonia: A narrative review
  openalex Yanping Yang, Wenyu Xing, Yiwen Liu, Yifang Li 等 2025-02-13 置信度 0.72 Artificial intelligenceComputer sciencePneumoniaNarrativeMedical imaging
• Artificial intelligence and COVID-19: A multidisciplinary approach
  The COVID-19 pandemic is taking a colossal toll in human suffering and lives. A significant amount of new scientific research and data sharing is underway due to the pandemic which is still rapidly spreading. There is now a growing amount of coronavirus relate…
  openalex Abhimanyu S. Ahuja, Vineet Pasam Reddy, Oge Marques 2020-05-27 置信度 0.72 PandemicCoronavirus disease 2019 (COVID-19)DisseminationComputer scienceData science
• Deep convolutional neural network based medical image classification for disease diagnosis
  Abstract Medical image classification plays an essential role in clinical treatment and teaching tasks. However, the traditional method has reached its ceiling on performance. Moreover, by using them, much time and effort need to be spent on extracting and sel…
  openalex Samir S. Yadav, Shivajirao M. Jadhav 2019-12-01 置信度 0.72 Computer scienceConvolutional neural networkArtificial intelligenceTransfer of learningSupport vector machine
• Data Analysis, Machine Learning and Applications
  openalex Christine Preisach, Burkhardt, Hans, Lars Schmidt-Thieme, Reinhold Decker 2008-01-01 置信度 0.72 Computer scienceArtificial intelligenceMachine learning
• Approaches Based on Artificial Intelligence and the Internet of Intelligent Things to Prevent the Spread of COVID-19: Scoping Review
  BACKGROUND: Artificial intelligence (AI) and the Internet of Intelligent Things (IIoT) are promising technologies to prevent the concerningly rapid spread of coronavirus disease (COVID-19) and to maximize safety during the pandemic. With the exponential increa…
  openalex Aya Sedky Adly, Afnan Sedky Adly, Mahmoud Sedky Adly 2020-06-25 置信度 0.72 Coronavirus disease 2019 (COVID-19)Computer sciencePandemicThe InternetControl (management)
• A reimbursement framework for artificial intelligence in healthcare
  Responsible adoption of healthcare artificial intelligence (AI) requires that AI systems which benefit patients and populations, including autonomous AI systems, are incentivized financially at a consistent and sustainable level. We present a framework for ana…
  openalex Michael D. Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli D. Goldstein 等 2022-06-09 置信度 0.72 ReimbursementWorkflowHealth careEquity (law)Business
• Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden
  OBJECTIVE: This study evaluates the pilot implementation of ambient AI scribe technology to assess physician perspectives on usability and the impact on physician burden and burnout. MATERIALS AND METHODS: This prospective quality improvement study was conduct…
  openalex Shreya Shah, Anna Devon-Sand, P. Stephen, Yejin Jeong 等 2024-11-18 置信度 0.72 UsabilityBurnoutDocumentationAmbient intelligenceMedicine
• Maps of Medical Reason: Applying Knowledge Graphs and Artificial Intelligence in Medical Education and Practice
  openalex Bill Cope, Mary Kalantzis, ChengXiang Zhai, Andrea Krussel 等 2022-01-01 置信度 0.72 OntologyFrame (networking)Computer scienceRepresentation (politics)Knowledge representation and reasoning
• The role of artificial intelligence in cosmetic dermatology—Current, upcoming, and future trends
  Within the field of cosmetic dermatology, several promising developments utilize artificial intelligence to better patient care. While many new treatments in cosmetic dermatology feature components of artificial intelligence, there is a knowledge gap within th…
  openalex Alexandra Elder, Christina Ring, Kerry Heitmiller, Zena Gabriel 等 2020-11-05 置信度 0.72 ModalitiesDermatologyMedicineField (mathematics)Skin care
• Advancements in Oncology with Artificial Intelligence—A Review Article
  Well-trained machine learning (ML) and artificial intelligence (AI) systems can provide clinicians with therapeutic assistance, potentially increasing efficiency and improving efficacy. ML has demonstrated high accuracy in oncology-related diagnostic imaging, …
  openalex Nikitha Vobugari, Vikranth Raja, Udhav Sethi, Kejal Gandhi 等 2022-03-06 置信度 0.72 MedicineMedical physicsStandardizationBreast cancerGrading (engineering)
• The dark side of artificial intelligence in services
  Artificial intelligence (AI) initiatives, including Generative AI, are being increasingly implemented in service industries, and are having a great impact on service operations and on customers’ reactions and behaviors. Previous literature is overoptimistic ab…
  openalex Daniel Belanche, Russell W. Belk, Luis V. Casaló, Carlos Flavián 2024-01-30 置信度 0.72 Great RiftFar side of the MoonArtificial intelligenceComputer scienceAstronomy
• Uses and limitations of artificial intelligence for oncology
  Modern artificial intelligence (AI) tools built on high-dimensional patient data are reshaping oncology care, helping to improve goal-concordant care, decrease cancer mortality rates, and increase workflow efficiency and scope of care. However, data-related co…
  openalex Likhitha Kolla, Ravi B. Parikh 2024-03-30 置信度 0.72 WorkflowMedicineSoftware deploymentLimitingArtificial intelligence
• Simulation-Based Education in the Artificial Intelligence Era
  Simulation-based medical education (SBME) has been widely implemented in skill training in various clinical specialties. SBME has contributed not only to patient and medical safety but also to undergraduate and specialist education in the healthcare field. In …
  openalex Nobuyasu Komasawa, Masanao Yokohira 2023-06-25 置信度 0.72 MedicineFidelityField (mathematics)Health careMedical education
• Role of Artificial Intelligence, Telehealth, and Telemedicine in Medical Virology
  openalex Jyotir Moy Chatterjee, R. Sujatha, Shailendra K. Saxena 2024-01-01 置信度 0.72 TelemedicineTelehealthVirologyCoronavirus disease 2019 (COVID-19)Computer science
• The role of artificial intelligence in business transformation: A case of pharmaceutical companies
  Artificial intelligence (AI) is of great interest to researchers and practitioners as a means of achieving the necessary progress in the pharmaceutical industry. However, the role of AI and ways of transforming companies are not well studied. The purpose of th…
  openalex Ignat Kulkov 2021-06-09 置信度 0.72 Pharmaceutical industryBusinessBusiness transformationMarketingResource (disambiguation)
• Guidelines on clinical research evaluation of artificial intelligence in ophthalmology (2023)
  With the upsurge of artificial intelligence (AI) technology in the medical field, its application in ophthalmology has become a cutting-edge research field. Notably, machine learning techniques have shown remarkable achievements in diagnosing, intervening, and…
  openalex Weihua Yang, Yanwu Xu 2023-08-22 置信度 0.72 MedicineGuidelineStandardizationMedical physicsArtificial intelligence
• Automated laparoscopic colorectal surgery workflow recognition using artificial intelligence: Experimental research
  BACKGROUND: Identifying laparoscopic surgical videos using artificial intelligence (AI) facilitates the automation of several currently time-consuming manual processes, including video analysis, indexing, and video-based skill assessment. This study aimed to c…
  openalex Daichi Kitaguchi, Nobuyoshi Takeshita, Hiroki Matsuzaki, Tatsuya Oda 等 2020-05-12 置信度 0.72 Computer scienceArtificial intelligenceConvolutional neural networkWorkflowTask (project management)
• Artificial Intelligence in Medical Education: A citation-based systematic literature review
  Purpose: This review aims to describe the existing and emerging role of Artificial intelligence (AI) in medical education, as this may help set future directions. Methodology: Articles on AI in medical education describing integration of AI or machine-learning…
  openalex Ikram Burney, Nisar Ahmad, Ikram A Burney 2022-09-03 置信度 0.72 CurriculumScopusSystematic reviewMedical educationCitation
• Artificial Intelligence/Machine Learning in Respiratory Medicine and Potential Role in Asthma and COPD Diagnosis
  Artificial intelligence (AI) and machine learning, a subset of AI, are increasingly used in medicine. AI excels at performing well-defined tasks, such as image recognition; for example, classifying skin biopsy lesions, determining diabetic retinopathy severity…
  openalex Alan Kaplan, Hui Cao, J. Mark FitzGerald, Nick Iannotti 等 2021-02-21 置信度 0.72 Context (archaeology)MedicineAsthmaIntensive care medicineArtificial intelligence
• Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
  Rational Deep learning (DL) has demonstrated a remarkable performance in diagnostic imaging for various diseases and modalities and therefore has a high potential to be used as a clinical tool. However, current practice shows low deployment of these algorithms…
  openalex Bart M. de Vries, Gerben J.C. Zwezerijnen, George L. Burchell, Floris H. P. van Velden 等 2023-05-12 置信度 0.72 ModalitiesComputer scienceMedical physicsAnalyticsArtificial intelligence
• Artificial Intelligence in Medicine: The Challenges Ahead
  The modern study of artificial intelligence in medicine (AIM) is 25 years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if suc…
  openalex Enrico Coiera 1996-11-01 置信度 0.72 Work (physics)Engineering ethicsFocus (optics)Field (mathematics)Computer science
• Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine
  Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolutionary changes in health care. These models excel in natural language processing (NLP), enhancing clinical support, diagnosis, treatment, and medical research. …
  openalex Kuo Zhang, Xiangbin Meng, Xiangyu Yan, Jiaming Ji 等 2024-09-10 置信度 0.72 PreprintTransformative learningHealth careMedicineInternet privacy
• Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data
  Medical image analysis remains a challenging application area for artificial intelligence. When applying machine learning, obtaining ground-truth labels for supervised learning is more difficult than in many more common applications of machine learning. This i…
  openalex Hoo-Chang Shin, Matthew Orton, David J. Collins, Simon Doran 等 2012-12-31 置信度 0.72 Artificial intelligenceComputer scienceDeep learningMachine learningCategorization
• Beginnings of Artificial Intelligence in Medicine (AIM): Computational Artifice Assisting Scientific Inquiry and Clinical Art – with Reflections on Present AIM Challenges
  BACKGROUND: The rise of biomedical expert heuristic knowledge-based approaches for computational modeling and problem solving, for scientific inquiry and medical decision-making, and for consultation in the 1970's led to a major change in the paradigm that aff…
  openalex Casimir A. Kulikowski 2019-04-25 置信度 0.72 Artificial intelligenceComputer sciencePsychology
• Applications of Generative Artificial Intelligence in Electronic Medical Records: A Scoping Review
  Electronic Medical Records (EMRs) are central to the modern healthcare system. Recent advances in artificial intelligence (AI), particularly generative artificial intelligence (GenAI), have opened new opportunities for the advancement of EMRs. This scoping rev…
  openalex Leo Morjaria, B. Gandhi, Nabil Haider, Matthew Mellon 等 2025-04-01 置信度 0.72 Generative grammarArtificial intelligenceComputer scienceData science
• The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization
  Abstract Future tools for supporting collaborations between technology and sustainable development include artificial intelligence (AI) applications in sustainable Urbanization roles. This article highlights the various applications of AI in advancing sustaina…
  openalex Marwan Al‐Raeei 2024-07-24 置信度 0.72 UrbanizationSustainable developmentSustainable citySmart cityBig data
• The Artificial Intelligence-Enabled Medical Imaging: Today and Its Future
  Medical imaging is now being reshaped by artificial intelligence (AI) and progressing rapidly toward future. In this article, we review the recent progress of AI-enabled medical imaging. Firstly, we briefly review the background about AI in its way of evolutio…
  openalex Shi Ying-huan, Qian Wang 2019-01-01 置信度 0.72 MedicineMedical imagingArtificial intelligenceNeuroimagingApplications of artificial intelligence
• The Future of Artificial Intelligence in Special Education Technology
  This manuscript presents a preliminary discussion of Artificial Intelligence (AI) as a disruptive technology with the potential to significantly change special education practices. The article begins with a brief description of the development of AI. The autho…
  openalex Matthew T. Marino, Eleazar Vasquez, Lisa Dieker, James D. Basham 等 2023-05-19 置信度 0.72 Special educationField (mathematics)Computer scienceEngineering ethicsMathematics education
• Artificial Intelligence and Primary Care Research: A Scoping Review
  PURPOSE: Rapid increases in technology and data motivate the application of artificial intelligence (AI) to primary care, but no comprehensive review exists to guide these efforts. Our objective was to assess the nature and extent of the body of research on AI…
  openalex Jacqueline K. Kueper, Amanda Terry, Merrick Zwarenstein, Daniel J. Lizotte 2020-05-01 置信度 0.72 MedicinePrimary careArtificial intelligenceHealth careData science
• Artificial intelligence in mathematics education: A systematic literature review
  The advancement of technology like artificial intelligence (AI) provides a chance to help teachers and students solve and improve teaching and learning performances. The goal of this review is to add to the conversation by offering a complete overview of AI in…
  openalex Riyan Hidayat, Mohamed Zulhilmi bin Mohamed, Nurain Nabilah binti Suhaizi, Norhafiza binti Mat Sabri 等 2022-06-01 置信度 0.72 Systematic reviewScopusArtificial intelligenceConversationComputer science