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• Deep learning in medical image registration: a review
  This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories accor…
  openalex Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran 等 2020-03-27 置信度 0.72 PopularityImage registrationBenchmark (surveying)Computer scienceDeep learning
• Mitigating the impact of biased artificial intelligence in emergency decision-making
  BACKGROUND: Prior research has shown that artificial intelligence (AI) systems often encode biases against minority subgroups. However, little work has focused on ways to mitigate the harm discriminatory algorithms can cause in high-stakes settings such as med…
  openalex Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia 等 2022-11-21 置信度 0.72 Framing (construction)HarmFraming effectPsychologyHealth care
• Using artificial intelligence to read chest radiographs for tuberculosis detection: A multi-site evaluation of the diagnostic accuracy of three deep learning systems
  Deep learning (DL) neural networks have only recently been employed to interpret chest radiography (CXR) to screen and triage people for pulmonary tuberculosis (TB). No published studies have compared multiple DL systems and populations. We conducted a retrosp…
  openalex Zhi Zhen Qin, Melissa Sander, Bishwa Rai, Collins N. Titahong 等 2019-10-18 置信度 0.72 TriageMedicineTuberculosisRadiographyArtificial intelligence
• Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (Preprint)
  BACKGROUND The significant advancements in applying Artificial Intelligence (AI) to healthcare decision-making, medical diagnosis, and other domains have simultaneously raised concerns about the fairness and bias of AI systems, particularly in areas like healt…
  openalex Emilio Ferrara 2023-04-21 置信度 0.72 PreprintTransparency (behavior)AccountabilityComputer scienceArtificial intelligence
• Effect of a flipped classroom course to foster medical students’ AI literacy with a focus on medical imaging: a single group pre-and post-test study
  BACKGROUND: The use of artificial intelligence applications in medicine is becoming increasingly common. At the same time, however, there are few initiatives to teach this important and timely topic to medical students. One reason for this is the predetermined…
  openalex Matthias Carl Laupichler, Dariusch R. Hadizadeh, Maximilian W. M. Wintergerst, Leon von der Emde 等 2022-11-17 置信度 0.72 Medical educationCurriculumTest (biology)Medical diagnosisFocus group
• Artificial intelligence in metabolomics: a current review
  openalex Jinhua Chi, Jingmin Shu, Ming Li, Rekha Mudappathi 等 2024-07-03 置信度 0.72 MetabolomicsCurrent (fluid)Computer scienceData scienceEngineering
• Artificial intelligence powered Metaverse: analysis, challenges and future perspectives
  Abstract The Metaverse, a virtual reality (VR) space where users can interact with each other and digital objects, is rapidly becoming a reality. As this new world evolves, Artificial Intelligence (AI) is playing an increasingly important role in shaping its d…
  openalex Mona Soliman, Eman Ahmed, Ashraf Darwish, Aboul Ella Hassanien 等 2024-02-05 置信度 0.72 MetaverseComputer scienceVirtual realityAugmented realityData science
• The threat, hype, and promise of artificial intelligence in education
  Abstract The idea of building intelligent machines has been around for centuries, with a new wave of promising artificial intelligence (AI) in the twenty-first century. Artificial Intelligence in Education (AIED) is a younger phenomenon that has created hype a…
  openalex Niklas Humble, Peter Mozelius 2022-11-10 置信度 0.72 SWOT analysisOptimismVariety (cybernetics)Artificial intelligenceThematic analysis
• Leveraging artificial intelligence in ischemic stroke imaging
  openalex Omid Shafaat, Joshua D. Bernstock, Amir Shafaat, Vivek Yedavalli 等 2021-05-10 置信度 0.72 Stroke (engine)MedicineIschemic strokeArtificial intelligenceMedical imaging
• Identifying fake conclusions of forensic medical examinations using an artificial intelligence technology based on the experience in the Republic of Kazakhstan: a Review
  This review discusses the legal aspects on the use of mathematical statistics and machine learning (hereinafter referred to as artificial intelligence) in forensic activities to identify both expert errors and fake expert opinions. An attempt has been made to …
  openalex Denis Voyevodkin, Gauhar Rustembekovna Rustemova, Yernar N. Begaliyev, Kussain A. Igembayev 等 2023-08-03 置信度 0.72 Objectivity (philosophy)Relevance (law)Artificial intelligenceComputer scienceForensic science
• Transforming Medical Microbiology: The Role of Artificial Intelligence
  Traditional microbiological techniques, while effective, are often time-consuming and labour-intensive. Machine learning and deep learning, enable rapid and accurate identification of microbial pathogens from complex datasets such as whole-genome sequencing, m…
  openalex Suvarna Sande, Manisha Rajguru 2025-08-30 置信度 0.72 MicrobiologyClinical microbiologyMedical microbiologyData scienceComputer science
• Artificial intelligence (AI) in medical robotics
  openalex Naman Gupta, Ranjan Jha 2024-01-01 置信度 0.72 Artificial intelligenceRoboticsComputer scienceRobot
• Artificial intelligence: revolutionizing cardiology with large language models
  Natural language processing techniques are having an increasing impact on clinical care from patient, clinician, administrator, and research perspective. Among others are automated generation of clinical notes and discharge letters, medical term coding for bil…
  openalex Machteld Boonstra, Davy Weissenbacher, Jason H. Moore, Graciela Gonzalez‐Hernandez 等 2023-12-06 置信度 0.72 MedicineNatural historyIdentification (biology)Medical physicsIntensive care medicine
• Exploring the Potential of Artificial Intelligence and Machine Learning to Combat COVID-19 and Existing Opportunities for LMIC: A Scoping Review
  Background: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine Learning …
  openalex Maleeha Naseem, Ramsha Akhund, Hajra Arshad, Muhammad Ibrahim 2020-01-01 置信度 0.72 MedicineCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakArtificial intelligence
• Medical exams in the era of accessible Artificial Intelligence
  Dear EditorChat Generative Pre-trained Transformer (ChatGPT) is a language model that uses training data to calculate the statistical structure of language and predict its output (Ramponi 2022). We...
  crossref Amir H. Sam, George Lam, Anjali Amin 2023-03-24T18:16:50Z 置信度 0.70
• Enhancing medical image segmentation using deep learning techniques
  This analysis examines the developments and hurdles of applying deep learning methods for medical image segmentation through a comprehensive and systematic literature review. A synthesis of research studies, review articles, and empirical analyses spanning 201…
  crossref Adithya Padthe, Rashmi Ashtagi, Ramya Thatikonda 2024-06-27T07:18:12Z 置信度 0.70
• About artificial intelligence...
  Early computers were used as automatic calculation tools. Later, as the Industrial Revolution began, manufacturing devices, were developed to automate more complex tasks, such as guiding weaving patterns on looms. It was not until 1950s, that the Computer Scie…
  crossref Sarwat Hussain 2022-03-25T16:29:35Z 置信度 0.70
• Annals of Mathematics and Artificial Intelligence
  crossref 2002-12-29T19:13:07Z 置信度 0.70
• Artificial Intelligence and High-Level Cognition
  crossref Marco Ragni 2020-05-07T23:05:27Z 置信度 0.70
• Bilattices and Reasoning in Artificial Intelligence: Concepts and Foundations
  crossref Kwang Mong Sim 2002-12-23T08:38:49Z 置信度 0.70
• Robotics and Artificial Intelligence
  crossref Malik Ghallab, Félix Ingrand 2020-05-07T23:05:27Z 置信度 0.70
• Building chain of medical AI innovations, Tencent establishes national new-generation medical imaging AI platform
  2018 China “Internet Plus” & Digital Economy Summit kicked off in Chongqing from 12–13 April. Tencent was approved to build an innovative, nationwide, new-generation artificial intelligence (AI) platform for medical imaging ( Figure 1 ).
  crossref 2018-07-23T08:20:46Z 置信度 0.70
• Exploring Deep Learning for De Novo Drug Design: A Brief Review of Chemical Property Optimization
  crossref Kaoutar M’Rhar, Mohamed-Amine Chadi, Hajar Mousannif 2026-05-27T00:36:48Z 置信度 0.70
• The Arabic Validation of Shinners Artificial Intelligence Perception Tool
  Objective: To assess the Arabic validation of shinners artificial intelligence perception tool. Methodology: The translation technique outlined here complied with the WHO guidelines on the development, translation, and validation of questionnaires, which has s…
  crossref Areej Meny 2026-02-22T06:01:31Z 置信度 0.70
• Revolutionizing Medical Imaging with Artificial intelligence Real-Time Segmentation for Enhanced Diagnostics
  Machine Intelligent or AI has become a proved tool with high accuracy and efficiency in medical imaging diagnoses. Thus, this paper aims at developing and analyzing the feasibility of using AI-based real-time image segmentation based on models such as Vision T…
  crossref Jungpil Shin 2024-12-11T12:43:25Z 置信度 0.70
• Artificial intelligence in emergency medicine: a welcome initiative
  crossref Yulin Li, Yonathan Freund 2026-01-28T00:45:35Z 置信度 0.70
• Forthcoming papersicial Intelligence 36 (1988) 177–221]
  crossref 2003-03-14T13:02:52Z 置信度 0.70
• Ethical Risks in Medical Artificial Intelligence and the Normative Function of Medical Humanities: A Study of AI and Emerging Medical Technologies
  The rapid expansion of artificial intelligence and emerging digital technologies in medicine has fundamentally reshaped clinical decision-making, healthcare governance, and biomedical knowledge production. While medical artificial intelligence promises enhance…
  crossref Liwei Liu 2026-02-06T04:21:16Z 置信度 0.70
• Improving Skin Cancer Management With Artificial Intelligence (04.17 SMARTI)
  crossref 2019-10-14T01:10:11Z 置信度 0.70
• The Santa Cruz Diabetic Retinopathy Utilizing Artificial Intelligence Study
  crossref 2019-04-12T17:33:49Z 置信度 0.70
• Artificial intelligence in health – the three big challenges
  The last twelve months have seen the already constrained Australian health space become an even more complex one.Faced by increasing demand for services, reduced funding and staffing, and pressures imposed by state and federal government health reform agendas,…
  crossref Sankalp Khanna 2013-06-01T04:00:10Z 置信度 0.70
• Chart review of patients with chronic obstructive pulmonary disease, using medical records and artificial intelligence
  crossref Robert Stockley 2020-01-24T04:20:06Z 置信度 0.70
• Fig. 2. Characteristic curves of artificial intelligence-based services for detecting adrenal tumors based on chest and abdominal computed tomography data: a — integrated artificial intelligence-based service-1 (for analyzing chest images); b — artificial intelligence-based monoservice-1 (for analyzing abdominal images); c — artificial intelligence-based monoservice-1 (for analyzing chest images); d — integrated artificial intelligence-based service-2 (for analyzing abdominal images); e — integrated artificial intelligence-based service-2 (for analyzing chest images); f — artificial intelligence-based monoservice-2 (for analyzing abdominal images).
  crossref 2025-11-14T11:47:55Z 置信度 0.70
• Similarity Redefined: A Robust Metric for Predicting Links in Complex Networks
  crossref Jibouni Ayoub, Nassiri Naoual, Lotfi Dounia, Saoud Sahar 等 2026-07-14T13:53:37Z 置信度 0.70
• Artificial Intelligence in Diagnostic Medical Image Processing for Advanced Healthcare Applications
  crossref Amlan Jyoti Kalita, Abhijit Boruah, Tapan Das, Nirmal Mazumder 等 2024-09-26T14:02:55Z 置信度 0.70
• Application of Artificial Intelligence in Medical Diagnosis and Patient Monitoring at Gitwe Hospital, Ruhango District, Southern Province
  Artificial Intelligence (AI) has become a transformative technology in healthcare worldwide, offering tools to improve medical diagnosis and patient monitoring. In the context of the of Gitwe Hospital , integrating AI can enhance the accuracy of diagnoses, red…
  crossref Philippe Hakizimana, Aime Fidele Ndayiragije Mvuyekure, Evariste Rukundo 2026-05-12T08:04:10Z 置信度 0.70
• Artificial Intelligence in Medical Imaging: Diagnosis and Beyond
  crossref Prof Jing Cai 2024-10-18T19:14:51Z 置信度 0.70
• The AID Study: Artificial Intelligence for Colorectal Adenoma Detection
  crossref 2019-09-20T16:01:15Z 置信度 0.70
• Ethics and Artificial Intelligence
  Artificial Intelligence (AI) is revolutionizing industries ranging from healthcare and finance to transportation and warfare. However, its rapid advancement presents profound ethical challenges, including algorithmic bias, privacy concerns, accountability, and…
  crossref Bhautik Modi 2025-10-31T20:06:47Z 置信度 0.70
• AI and Medical Informatics applications in Healthcare Systems
  Artificial intelligence (AI) and medical informatics are reshaping contemporary healthcare systems by enhancing diagnostic accuracy, strengthening clinical decision-making, and advancing personalized and data-driven care.As healthcare environments generate mas…
  crossref Sarah Allabun 2025-11-26T05:54:48Z 置信度 0.70
• Rethinking Medical Ethics: Artificial Intelligence and Healthcare – Confronting
  The ethical guidelines laid out in the Hippocratic Oath nearly 2,500 years ago are about to collide with 21st century artificial intelligence (AI).AI promises to be a boon to medical practice, improving diagnoses, personalizing treatment, and spotting future p…
  crossref Rounak Verma 2020-08-18T12:37:04Z 置信度 0.70
• Regulation of Health-Related Artificial Intelligence in Medical Devices The Canadian Story
  Artificial Intelligence (AI) may transform Canadian healthcare. The hope is that AI will enable more accurate and efficient care, thereby solving many access, quality, and safety problems. Yet, despite this tantalizing prospect, there are risks of unsafe AI ha…
  crossref Michael Da Silva, Colleen M. Flood, Matthew Herder 2022-03-04T22:09:35Z 置信度 0.70
• Artificial intelligence in ethical medical publishing: Assistance without abdication
  Artificial intelligence (AI) has rapidly invaded almost all areas of human existence, including scholarly medical publishing.It is now common to routinely use AI tools for language correction, translation, summarization, reference organization, drafting, and e…
  crossref Mridul Madhav Panditrao 2026-06-16T12:23:09Z 置信度 0.70
• Investigation on the Abilities of Artificial Intelligence Methods to Accommodate Bias in Medical Diagnostic Data
  crossref Faith Jordan Srour, Alaa Balaghi 2024-01-08T21:16:16Z 置信度 0.70
• Advancement in Artificial Intelligence for Early Detection and Personalized Treatment of Breast Cancer
  crossref Murat Emeç 2024-12-30T08:44:53Z 置信度 0.70
• Open-World Multimodal Artificial Intelligence for Smart Healthcare: Medical Imaging, Genomics, Trustworthy Evaluation, and Efficient Reasoning
  Medical artificial intelligence has made substantial progress in image analysis and clinical decision support, but most existing systems still rely on closed-world assumptions with predefined disease categories and stable data distributions. In real clinical e…
  crossref Ernie Lin, Leo Wang 2026-07-29T13:58:52Z 置信度 0.70
• Artificial Intelligence in Oral Medicine: A Review
  Artificial Intelligence (AI) is increasingly becoming a transformative force in various fields, including oral medicine. A systematic review of AI applications in oral medicine reveals significant advancements and diverse applications that promise to enhance d…
  crossref Sameen R. J. 2024-07-20T05:11:09Z 置信度 0.70
• Artificial intelligence and the future of physicians: replacement or partnership?
  As artificial intelligence (AI) tools are becoming more integrated in healthcare, claims that AI will soon displace physicians are also growing. We believe that this assertion is premature and warrants deeper examination. This viewpoint first acknowledges the …
  crossref 2026-03-30T19:55:58Z 置信度 0.70
• Dehumanization, Justice, and Humanity in the Age of Artificial Intelligence
  This essay explores how artificial intelligence (AI) challenges moral conceptions of justice by shifting decisions from contexts of human recognition to computational calculation. Drawing on John Rawls’s account of fairness and contrasting it with Paul Krugman…
  crossref Dragutin Novosel 2026-08-07T07:17:02Z 置信度 0.70
• Verifiable Artificial Intelligence for Medical Decision Making with an Application to Skin Cancer Diagnosis
  <div> <div> Artificial Intelligence as a Service is becoming a common deployment model for proprietary AI systems. In these settings, users can observe the returned output but cannot directly verify which model generated it or whether the underlyin…
  crossref Pooyan Kazemian, Hank Korth, Manoj Malhotra 2025-07-02T13:13:47Z 置信度 0.70
• Automated Role Classification in Security Policies: A Comparative Study of NLP Approaches
  crossref Anas Talhaoui, Mohamed Amine Madani, Abdelmounaim Kerkri, Asmae Benouda 2026-07-14T13:53:13Z 置信度 0.70
• Artificial Intelligence in Predictive Toxicology: Identifying influential topics based on science mapping
  This research paper delves into the transformative landscape of Predictive Toxicology, marked by the integration of Artificial Intelligence (AI) and cutting-edge technologies. The emergence of Predictive Toxicology, driven by computational models leveraging ma…
  crossref 2024-02-10T05:07:48Z 置信度 0.70
• Search and prevention of errors in medical databases
  crossref Saveli Goldberg 2022-01-21T06:00:49Z 置信度 0.70
• Principles of Deep Learning
  crossref Euclid Seeram, Vijay Kanade 2024-08-14T10:02:01Z 置信度 0.70
• Research on the Integration of Medical Device Safety and Artificial Intelligence
  This paper explores the integration of artificial intelligence (AI) technology in the field of medical devices and its impact on safety. It analyzes current challenges, successful cases, lessons learned from failures, and future development directions. AI tech…
  crossref 2024-06-03T11:59:07Z 置信度 0.70
• AIM in Medical Disorders in Pregnancy
  crossref Charles L. Bormann, Carol Lynn Curchoe 2021-09-01T12:04:23Z 置信度 0.70
• Using Digital Health Tools in Medical Practice
  crossref Elizabeth M. Bauer 2024-06-28T09:56:46Z 置信度 0.70
• Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing
  crossref Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi 2020-11-20T03:20:54Z 置信度 0.70
• Artificial Intelligence-Generated Facial Images for Medical Education
  We evaluated the use of text-to-image models (Microsoft's Bing Image creator (powered by DALL·E) and Shutterstock's AI image generator) to generate realistic images of human faces and their associated pathology, which may be useful for medical education, given…
  crossref Bingwen Eugene Fan, Minyang Chow, Stefan Winkler 2023-11-14T13:02:49Z 置信度 0.70
• Annals of Mathematics and Artificial Intelligence
  crossref 2003-03-21T00:56:49Z 置信度 0.70
• Deep learning algorithms for melanoma detection using dermoscopic images: A systematic review and meta-analysis
  Background Melanoma is a serious risk to human health and early identification is vital for treatment success. Deep learning (DL) has the potential to detect cancer using imaging technologies and many studies provide evidence that DL algorithms can achieve hig…
  crossref Zichen Ye, Daqian Zhang, Yuankai Zhao, Mingyang Chen 等 2024-07-26T13:41:31Z 置信度 0.70
• Artificial Intelligence-Driven Clinical Trials: Transforming Clinical Research Associate Methodology
  crossref 2024-10-31T10:36:32Z 置信度 0.70
• AIM and Explainable Methods in Medical Imaging and Diagnostics
  crossref Syed Muhammad Anwar 2021-08-27T16:07:20Z 置信度 0.70
• Spike source identification using artificial intelligence techniques
  We present a methodology for the automatic detection of target regions in the brain for ablation, stimulation and restorative surgery for Parkinson's disease and other neurological disorders. The methodology includes wavelets for the correct characterization o…
  crossref A.A. Orozco 2006-07-07T14:47:27Z 置信度 0.70
• An Investigation on Support Vector Machines and Wavelet Transform in Electroencephalogram Signal Classification
  Time series have been intensively studied in recent years in different areas, such as medicine, the financial market, and climatology. Many techniques have been used to extract the information encoded in time series, aiming to make some estimation (prediction)…
  crossref 2013-10-11T17:35:58Z 置信度 0.70
• Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging
  This comprehensive review unfolds a detailed narrative of Artificial Intelligence (AI) making its foray into radiology, a move that is catalysing transformational shifts in the healthcare landscape. It traces the evolution of radiology, from the initial discov…
  crossref Reabal Najjar 2023-08-28T03:45:42Z 置信度 0.70
• Artificial Intelligence: Will It Replace Human Medical Doctors?
  Development of artificial intelligence is expected to revolutionize today’s medicine. In fact, medicine was one of the areas to which advances in artificial intelligence technology were first applied. Recently, state-of-the-art artificial intelligence, especia…
  crossref Yoon Sup Choi 2016-07-27T00:52:24Z 置信度 0.70
• Medical student’s artificial intelligence education and research experiences
  crossref Chaeyeong Im 2022-11-29T23:51:02Z 置信度 0.70
• AIM in Medical Disorders in Pregnancy
  crossref Charles L. Bormann, Carol Lynn Curchoe 2022-02-18T14:08:09Z 置信度 0.70
• Machine Learning and Electronic Noses for Medical Diagnostics
  crossref Wojciech Wojnowski, Kaja Kalinowska 2021-08-05T16:04:29Z 置信度 0.70
• Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review (Preprint)
  BACKGROUND There is no doubt that the recent surge in artificial intelligence (AI) research will change the trajectory of next-generation health care, making it more approachable and accessible to patients. Therefore, it is critical to research patient percept…
  crossref Onur Asan, Euiji Choi, Xiaomei Wang 2023-08-30T14:47:22Z 置信度 0.70
• Future Trends and Challenges
  crossref Euclid Seeram, Vijay Kanade 2024-08-14T10:02:01Z 置信度 0.70
• Images in Logical-and-Linguistic Artificial Intelligence Systems
  Visual images are holistic, and when verbalized there is a partial loss of semantic content. However, it should be noted the lack of effectiveness of decision support systems only when using images without an effective context, and systems that do not include …
  crossref Boris A. Kobrinskii . 2019-03-10T01:30:18Z 置信度 0.70
• Artificial intelligence in medical imaging
  The medical specialty radiology has experienced a number of extremely important and influential technical developments in the past that have affected how medical imaging is deployed. Artificial intelligence (AI) is potentially another such development that wil…
  crossref John C. Gore 2019-12-16T12:18:59Z 置信度 0.70
• The trust gap in generative medical imaging: Evidence, risks, and a roadmap toward responsible adoption
  Generative artificial intelligence produces radiological images and clinical text with a level of realism that suggests broad utility in medical imaging. Early studies show promise in targeted data augmentation, assistive image enhancement and reconstruction, …
  crossref Somayeh Farahani, Antonio Di Ieva, Enrico Coiera, Sidong Liu 2026-04-03T16:01:06Z 置信度 0.70
• Technical Approach to Converting Medical Information System (MIS) "ESCULAP" Archives for Artificial Intelligence Tasks: Experience of State Institution of Science “Center of Innovative Healthcare Technologies” State Administrative Department
  The digital transformation of healthcare requires converting accumulated medical data into formats suitable for analysis. A significant portion of medical information in Ukraine is stored in archives of legacy systems, including the medical information system …
  crossref Horachuk A 2026-03-27T09:13:38Z 置信度 0.70
• Research trends and hotspots in the applications of artificial intelligence in CT based on Web of Science—bibliometric research (2015–2024)
  Background: Bibliometrics is a quantitative assessment that uses mathematical and statistical methods to evaluate the contribution of scientific literature. In recent years, the application of artificial intelligence (AI) in medical imaging has received extens…
  crossref Lian Peng, Xiangkai Zhong, Hui Zeng, Ruxian Zuo 2026-07-29T06:12:24Z 置信度 0.70
• Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review
  Background Artificial intelligence (AI) technology has the potential to transform medical practice within the medical imaging industry and materially improve productivity and patient outcomes. However, low acceptability of AI as a digital healthcare interventi…
  crossref David Hua, Neysa Petrina, Noel Young, Jin-Gun Cho 等 2023-11-09T03:39:35Z 置信度 0.70
• An Experimental Evaluation of GRU-Based Architecture for ICD-9 Code Assignment Using MIMIC-III Clinical Notes
  crossref Manale Chakir, Abdelwahab Naji 2026-05-27T00:37:40Z 置信度 0.70
• Probability Judgment in Artificial Intelligence
  crossref 2014-06-18T20:45:51Z 置信度 0.70
• Artificial Intelligence in Medicine AIME ’05
  crossref Silvia Miksch, Jim Hunter, Elpida Keravnou 2006-11-01T01:31:26Z 置信度 0.70
• Decision theory and artificial intelligence: I. A semantics-based region analyzer
  crossref Jerome A. Feldman, Yoram Yakimovsky 2003-03-14T08:02:52Z 置信度 0.70
• Artificial Intelligence in Dentistry: Toward a New Architecture of Clinical Knowledge
  Dentistry is undergoing a digital transformation marked by the integration of artificial intelligence. Since the foundational work in 1986, the growth of the field has been limited compared with that of other sectors. This paper presents SAP Artificial Intelli…
  crossref Thalia Garcia Contino 2026-04-22T15:09:09Z 置信度 0.70
• Artificial Intelligence: Achievements and Recent Developments
  crossref Anatolii I. Shevchenko, Yuriy P. Kondratenko 2026-07-30T19:23:09Z 置信度 0.70
• Enactive artificial intelligence: Investigating the systemic organization of life and mind
  crossref Tom Froese, Tom Ziemke 2008-12-26T09:17:26Z 置信度 0.70
• Artificial intelligence (AI) in the medical consultation: Friend or foe?
  crossref Salvatore Chirumbolo, Marianno Franzini, Umberto Tirelli 2023-09-19T13:17:51Z 置信度 0.70
• Artificial intelligence-driven advances in medical microbiology: a review on next-generation diagnosis, surveillance, and therapeutics
  The field of health science, medical microbiology is key aspect for diagnosis, pathogen surveillance, and therapeutic interventions. Integration of artificial intelligence undergoing a profound transformation in the advances of medical microbiology. Artificial…
  crossref Sandeep Kumar 2026-07-20T15:00:14Z 置信度 0.70
• Medical liability, digital technology and artificial intelligence
  crossref Chrystelle Boileau 2025-06-24T06:40:58Z 置信度 0.70
• Evaluating Artificial Intelligence Assisted Nursing Education: Student Perceptions, Ethical Concerns, and Pedagogical Implications
  Abstract Background Artificial intelligence (AI) tools are increasingly being integrated into nursing education to enhance learning and provide flexible academic assistance. However, little is known about how undergraduate nursing students perceive these tools…
  crossref Ramteja Sajja, Yusuf Sermet, Ibrahim Demir 2025-06-10T13:45:22Z 置信度 0.70
• Advantages of Artificial Intelligence in Dentistry
  Introduction: The use of subsidies and access to huge amounts of data around the world in the last decade has led to the advancement of artificial intelligence (AI) applications in the health and medical sciences sector. Although there is a need for detailed a…
  crossref Behnaz Behniafar 2025-06-30T03:01:01Z 置信度 0.70
• Applications of Artificial Intelligence in Medical Education: A Systematic Review
  Artificial intelligence (AI) models, like Chat Generative Pre-Trained Transformer (OpenAI, San Francisco, CA), have recently gained significant popularity due to their ability to make autonomous decisions and engage in complex interactions. To fully harness th…
  crossref Eric Hallquist, Ishank Gupta, Michael Montalbano, Marios Loukas 2025-03-01T15:03:41Z 置信度 0.70
• Distributed artificial intelligence series: Research notes in AI
  crossref L. Motus 2003-03-14T17:42:18Z 置信度 0.70
• Large Language Models and Medical Imaging: A Powerful Synergy
  Crimson Publishers is an Open-access academic publisher has a vision to establish Open Science platform that seeks to provide equal opportunity for all, share and create knowledge, and enables the scholarly world to engage in a dialogue with the science in a m…
  crossref Saqib Qamar 2025-02-24T09:55:32Z 置信度 0.70
• Music, mind and machine: Studies in computer music, music cognition and artificial intelligence
  crossref Stephen W. Smoliar 2003-09-12T13:20:58Z 置信度 0.70
• Artificial Intelligence-driven Smart Healthcare Services, Wearable Medical Devices, and Body Sensor Networks
  crossref 2019-10-31T20:58:17Z 置信度 0.70
• Artificial Intelligence in Medical OSCEs: Reflections and Future Developments
  With the advent of the age of Artificial Intelligence (AI), we seek to consider how AI could shape clinical examinations, specifically Objective Structured Clinical Examinations (OSCEs). OSCEs, whilst having its own limitations, could be further enhanced with …
  crossref Tse Kiat Soong, Cheng-Maw Ho 2021-02-17T20:46:53Z 置信度 0.70
• Hearing aid with artificial intelligence
  Artificial intelligence (AI) has recently increased in its use.2017 represents the start of this new era for the hearing aid industry, artificial intelligence H.A. and it offers great promise in overcoming hearing challenges. In our opinion, artificial intelli…
  crossref Gehad Fawzy, mohamed Abd Al Rahman, mostafa Youssif, Maha Ahmed 2023-03-27T07:10:57Z 置信度 0.70
• Medical laboratory monitoring and total quality management for a smart medical laboratory
  crossref Uchejeso Obeta, Alex Khang 2025-10-25T07:52:18Z 置信度 0.70
• ADVANCES IN ARTIFICIAL INTELLIGENCE RESEARCH IN HEALTH
  Griffith Sciences, School of Information and Communication Technology
  crossref Sankalp Khanna, Abdul Sattar, David Hansen 2017-11-15T07:53:30Z 置信度 0.70
• Artificial Intelligence and Data Analytics in Medical Imaging
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