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• Artificial Intelligence in Medical Writing: A Practical and Ethical Framework for Surgical Research and Publication.
  Background Artificial intelligence (AI) is rapidly transforming surgical research and medical publishing by changing how clinicians discover, evaluate, synthesize, and communicate scientific evidence. Despite widespread adoption, practical guidance on the resp…
  europepmc 2026 置信度 0.80
• Artificial intelligence applications in oxaliplatin-based chemotherapy for colon cancer: advancing prognosis, toxicity prediction, and dose personalization.
  Colorectal cancer (CRC) remains a significant cause of cancer deaths worldwide. Oxaliplatin-based regimens, such as FOLFOX, which form the cornerstone of therapy, are associated with variability in patient responses and toxicities, most notably peripheral neur…
  pubmed Jammoul D, Ajibuwa F, Jammoul M, Schlosser-Hupf S 等 2026 置信度 0.82
• Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.
  AI is increasingly encountered in clinical care and medical education, but medical students' attitudes, perceptions, and self-reported familiarity have been assessed using heterogeneous survey instruments, AI referents, and response scales. Prior reviews often…
  pubmed Zhang W, Han J, Han X, Xu H 等 2026 置信度 0.82
• The rise of AI companions: From prediction to surgery in the digital twin era.
  Artificial intelligence (AI) is rapidly reshaping orthopaedic surgery, supported by advances in data science, computational power, and perioperative digitalization. Within this evolving landscape, five "AI companions" structure the surgeon's workflow. The "AI …
  europepmc 2026 置信度 0.80
• Artificial intelligence for affective-domain development in healthcare professions education: a systematic review.
  Background Artificial intelligence (AI) is increasingly integrated into health professions education through generative AI, chatbots, virtual patients, automated feedback, and AI-enhanced simulation. While most discussions focus on cognitive and technical lear…
  europepmc 2026 置信度 0.80
• Can AI Make Paediatric PET/CT Lower Dose? Opportunities, Evidence and Cautions.
  Artificial intelligence (AI) has emerged as a potential enabling technology for lower-dose paediatric PET/CT, but its value depends on whether dose reduction can be achieved without compromising diagnostic accuracy, lesion detectability, quantitative reliabili…
  europepmc 2026 置信度 0.80
• Prediction of delayed graft function after kidney transplantation using artificial intelligence and machine learning: A Systematic Review.
  Delayed graft function (DGF) is a frequent early complication after kidney transplantation. We systematically reviewed artificial intelligence and machine learning (AI/ML) models that use routine clinical variables to predict DGF.
  pubmed Yadav S, Yadav A, Bais SS, Khurana U 等 2026 置信度 0.82
• A generative AI multi-agent framework with integrated XAI governance for cancer diagnostics: from multi-omics interpretation to lifestyle risk stratification.
  Cancer diagnostics is being reshaped by rapid advances in artificial intelligence, yet a persistent gap separates computational performance from clinical trust. Systematic reviews confirm that 83% of XAI studies in oncology excluded clinicians from development…
  pubmed Barki C, Chouchen M, Sediri A, Ceylan Hİ 等 2026 置信度 0.82
• Artificial intelligence vs. dermoscopy for malignancy risk stratification of pigmented skin lesions: a systematic review and meta-analysis for public health.
  Background Accurate risk stratification of pigmented skin lesions is essential for early melanoma detection and for reducing unnecessary excisions. Although artificial intelligence (AI) is increasingly applied to dermoscopic image analysis, its diagnostic perf…
  europepmc 2026 置信度 0.80
• Between the hype and harm: does artificial intelligence in health offer solace or further exclusion for marginalised populations in Sub-Saharan Africa? A scoping review.
  Artificial intelligence (AI) is increasingly being integrated into healthcare systems and has the potential to improve health outcomes. In Sub-Saharan Africa (SSA), however, concerns remain that AI may either reduce or exacerbate existing health inequities dep…
  europepmc 2026 置信度 0.80
• Artificial intelligence for carbon emissions management: advances, challenges, and future directions across monitoring, prediction, and reduction.
  Rising anthropogenic carbon emissions are a major driver of climate change and pose a critical challenge to global sustainable development. As a rapidly advancing technology, artificial intelligence (AI) has shown strong potential to enhance carbon emissions m…
  europepmc 2026 置信度 0.80
• A clinically grounded taxonomy and systematic review of artificial intelligence for cardiovascular diagnosis: From machine learning to multimodal and agentic systems.
  Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, creating an urgent need for accurate, trustworthy, and clinically deployable artificial intelligence (AI) systems capable of supporting complex diagnostic decision-making. Although…
  europepmc 2026 置信度 0.80
• The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.
  Background/Objectives : The application of artificial intelligence (AI) in the healthcare field continues to deepen, with the development paradigm gradually shifting from technology-driven innovation to design-driven innovation towards "human-centered artifici…
  europepmc 2026 置信度 0.80
• [Advances in the application of artificial intelligence in the whole-course management of bronchial asthma].
  Bronchial asthma (asthma) is a common chronic inflammatory airway disease with a steadily increasing global disease burden. Current asthma management continues to face multiple challenges, including underdiagnosis, limited individualization of treatment strate…
  europepmc 2026 置信度 0.80
• Artificial intelligence in medicine: a clinician-oriented guide and operational framework to evaluate new AI devices.
  Background Artificial Intelligence (AI) is rapidly transitioning from experimental research to daily medical practice, yet the medical community's understanding of these tools remains largely confined to visible 'front-end' applications with which the clinicia…
  europepmc 2026 置信度 0.80
• Time Is Aorta: Can Artificial Intelligence Improve Surgical Timelines in Acute Type A Aortic Dissection? A Comprehensive Review.
  Background and aims Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation increase mortality and organ damage. Artificial intelligence (AI) may support earlier recognition, faster imagin…
  europepmc 2026 置信度 0.80
• Artificial intelligence in haematology laboratory diagnosis: Current applications, challenges, and future directions.
  Background Artificial intelligence (AI) is transforming haematology diagnostics by improving accuracy, efficiency, and reproducibility in workflows traditionally reliant on manual microscopy and expert interpretation. Integrating AI into laboratory medicine pr…
  europepmc 2026 置信度 0.80
• Can AI-based chatbots enhance patient education and support nursing practice for hip replacement patients? A scoping review.
  Background Artificial intelligence (AI), particularly machine learning and large language models (LLMs), has seen rapid advancements and widespread adoption over the past decade, transforming many fields, including healthcare. ChatGPT is one of the prominent c…
  europepmc 2026 置信度 0.80
• Expert insights into AI-assisted platelet bioproducts for patient-centered care in selected clinical scenarios and regenerative applications: From conventional concentrates to regenerative medicine.
  The clinical use of platelet concentrate preparations has evolved within AI-informed, modernized practice, moving from classical formulations toward extracellular vesicle-based and engineered therapies and reflecting a major shift toward regenerative medicine.…
  europepmc 2026 置信度 0.80
• Cognitive Workload and Mental Burden in Health Care Professionals Interacting With AI: Systematic Review and Meta-Analysis.
  Background AI adoption in health care has accelerated rapidly, with ambient documentation tools, diagnostic imaging AI, and clinical decision support systems (CDSSs) entering routine practice. However, the cognitive demands placed on clinicians supervising the…
  europepmc 2026 置信度 0.80
• Tactile and haptic interaction in STEM learning: a scoping review of embodied and multisensory pathways for conceptual learning processes.
  Conceptual learning in science, technology, engineering, and mathematics (STEM) often involves phenomena that are abstract, dynamic, and not directly observable. Instruction in many STEM classrooms continues to rely predominantly on visual representations and …
  europepmc 2026 置信度 0.80
• Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.
  Background Widespread and sustained uptake of AI-based clinical decision support systems (CDSSs) in real-world health care settings is uncommon, despite their potential to improve patient care and reduce clinician burnout. Although previous studies have examin…
  europepmc 2026 置信度 0.80
• CAUSAL artificial intelligence and data-driven decision intelligence in personalized medicine: a review of healthcare informatics systems.
  This review examines the integration of causal artificial intelligence (AI) and data-driven decision intelligence within healthcare informatics systems to advance personalized medicine and clinical decision-making. A narrative review methodology was employed, …
  europepmc 2026 置信度 0.80
• Guiding student use of generative AI in undergraduate pharmacology: a narrative review and proposed source-checking process framework.
  Generative artificial intelligence (AI) has entered undergraduate pharmacology learning through chatbots, writing assistants and large language model (LLM) interfaces. Students now use these tools to clarify mechanisms, compare drug classes, draft case answers…
  europepmc 2026 置信度 0.80
• Artificial intelligence-augmented organ- and organoid-on-a-chip for drug screening.
  Organ- and organoid-on-a-chip technologies provide critical human-relevant models for drug screening. Despite their promise, translating their complex biological outputs into reproducible, quantifiable, and pharmacologically interpretable readouts remains a si…
  europepmc 2026 置信度 0.80
• Preferences for AI-Enabled Health Care Technologies: Systematic Review of Discrete Choice Experiments and Reporting Quality Assessment Using the DIRECT Checklist.
  Background AI is increasingly being integrated into health care, making it important to understand stakeholder preferences for AI-enabled technologies. Although discrete choice experiments (DCEs) are widely used to elicit preferences, evidence on preference at…
  europepmc 2026 置信度 0.80
• Human-Centered AI in Sleep Health Management: Scoping Review of Stakeholder Perspectives and Co-Design Practices.
  Background Sleep disorders represent a significant public health burden associated with cardiovascular and neurocognitive morbidities. While AI technologies offer potential for personalized sleep medicine, clinical integration remains limited. This translation…
  europepmc 2026 置信度 0.80
• Burden of Racial Disparities in Pediatric Traumatic Brain Injury Among American Indian/Alaska Native Children: A Scoping Review of the Literature.
  Background Traumatic brain injury (TBI) is a leading cause of morbidity and mortality in children worldwide. In the United States, and in the state of Alaska in particular, American Indian/Alaska Native (AI/AN) children experience a disproportionate burden of …
  europepmc 2026 置信度 0.80
• Artificial intelligence for early prediction of gestational diabetes mellitus and preeclampsia: a systematic review of machine learning models and clinical decision support systems.
  Gestational diabetes mellitus (GDM) and preeclampsia are among the most significant pregnancy complications, affecting approximately 5-15% and 2-8% of pregnancies worldwide, respectively. These disorders share overlapping metabolic, vascular, inflammatory, and…
  europepmc 2026 置信度 0.80
• AI for tumour proportion scoring of programmed death-ligand 1 immunohistochemistry in non-small cell lung cancer: a review of commercial and non-commercial tools.
  Programmed death-ligand 1 (PD-L1) expression, commonly quantified as tumour proportion score (TPS), is a key biomarker guiding immunotherapy in non-small cell lung cancer (NSCLC). Manual scoring of PD-L1 immunohistochemistry (IHC) is time-consuming and challen…
  pubmed Webers J, Martens S, Gervois P, Mertens I 等 2026 置信度 0.82
• Artificial intelligence and digital health competencies in undergraduate nursing education: A scoping review.
  Background The rapid digital transformation of healthcare is reshaping the capabilities required of the nursing workforce. Technologies such as artificial intelligence (AI), clinical decision-support systems, and digital health technologies are increasingly em…
  europepmc 2026 置信度 0.80
• Data Collection and Management for AI-Based Pharmaceutical Formulation Development: A Comprehensive Review.
  Traditional pharmacovigilance relies on slow clinical trials and post-marketing studies with limited coverage. This review synthesizes evidence on Real-World Data (RWD) integration with Artificial Intelligence (AI) for enhanced Adverse Drug Reaction (ADR) dete…
  pubmed Kayal P, Manna P, Rahaman R, Ramar MK 等 2026 置信度 0.82
• Telemedicine and artificial intelligence in family medicine practice: a systematic review and meta-analysis of barriers and enablers in routine primary care.
  Telemedicine and artificial intelligence (AI) are reshaping healthcare delivery, yet their integration into routine family practice remains inconsistent. This systematic review and meta-analysis aimed to identify barriers and enablers influencing the adoption …
  pubmed Albarqi MN 2026 置信度 0.82
• Editorial: Synergizing large language models and computational intelligence for advanced robotic systems.
  The convergence of foundation models, including Large Language Models (LLMs), Vision Language Action (VLA) models, with robotics and computational intelligence represents one of the most significant developments in modern AI research. Traditional robotic syste…
  europepmc 2026 置信度 0.80
• Dietary Polysaccharides Modulate Interactions between Bacteroides and the Gut Microbiota: Gene-Level Mechanisms and Perspectives on Genome-Scale Metabolic Modeling for Community Simulation.
  Bacteroides is a major gut genus involved in polysaccharide uptake and degradation, yet the gene-level mechanisms by which dietary polysaccharides modulate interactions between Bacteroides and other gut microbes remain insufficiently integrated. This review su…
  europepmc 2026 置信度 0.80
• From black-box prediction to transparent insight: the status quo and paradigm shift of explainable artificial intelligence in hepatocellular carcinoma research.
  Hepatocellular carcinoma (HCC) is a malignancy with high global incidence and mortality, whose significant heterogeneity and poor prognosis pose severe clinical challenges. While artificial intelligence (AI) shows potential in HCC imaging, pathology, and progn…
  europepmc 2026 置信度 0.80
• Beyond predictive performance: A systematic review and critical methodological appraisal of AI/ML and conventional modelling strategies in breast, colorectal, and pancreatic Cancer.
  Predictive modelling for cancer risk, treatment-related complications, and survival is central to precision oncology. Conventional logistic regression (LR) and Cox proportional hazards (CoxPH) regression remain widely used but are limited when modelling nonlin…
  pubmed Abidin NZ, Shariff NM, Zamri EN, Shamsuddin S 2026 置信度 0.82
• A primer on artificial intelligence for palliative care educators.
  Artificial intelligence (AI) is rapidly being adopted in education in the health care professions, including in palliative care. Yet existing AI primers for health professions education (HPE) are not specific to palliative care (PC) and overlook the relational…
  europepmc 2026 置信度 0.80
• Effects of AI on Nursing Education: Protocol for a Systematic Review and Meta-Analysis.
  Background AI demonstrates considerable potential in nursing education. However, its specific effects on knowledge acquisition, practical skills, satisfaction, competence, and confidence remain inadequately characterized. Objective This study aims to assess th…
  europepmc 2026 置信度 0.80
• AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.
  Proteins exist as conformational ensembles, with dynamic transitions governing biological processes. Deciphering these dynamics demands integrating experimental data, physics-based simulations, and artificial intelligence (AI)-each with distinct strengths and …
  europepmc 2026 置信度 0.80
• From greasiness to creaminess: multiscale mechanisms, structuring strategies, and AI‑assisted evaluation.
  Creaminess and greasiness are key fat-related mouthfeel attributes that contribute to food palatability, yet neither can be predicted reliably from a single variable such as fat content, apparent viscosity, oil droplet size, or friction coefficient. Based on a…
  europepmc 2026 置信度 0.80
• Low-cost social robot designs for education: a review.
  Social robots have shown promising potential in educational contexts worldwide, with studies reporting significant cognitive and affective gains when such robots are deployed. However, among other factors, the high cost of commercial robots limits this line of…
  europepmc 2026 置信度 0.80
• A scoping review of explainable artificial intelligence for medical multimodal data.
  Multimodal Artificial Intelligence (AI) models-integrating diverse data such as imaging and clinical records-are advancing rapidly in healthcare, yet a significant disconnection persists between these complex predictive architectures and the explainable AI (XA…
  europepmc 2026 置信度 0.80
• Authorship, Disclosures, and Conflicts of Interest in Papers Related to the Use of Artificial Intelligence.
  As artificial intelligence (AI), particularly generative AI, is being actively introduced and utilized in medical research and manuscript writing, new challenges are emerging in academic publishing, specifically regarding author attribution, transparency, and …
  europepmc 2026 置信度 0.80
• Self-rankings as a predictor of scientific impact beyond peer review.
  Peer review in academic research aims to ensure factual correctness and identify work of high scientific potential, but rapid submission growth has made this increasingly difficult. Here we investigate an additional measure for identifying high-impact research…
  europepmc 2026 置信度 0.80
• Looking to the brain to improve energy efficiency of AI.
  Modern artificial intelligence (AI) systems have achieved remarkable capabilities, but at an extraordinary energy cost. Training and running large-scale models can consume vast resources, posing environmental, economic, and societal challenges. In contrast, bi…
  europepmc 2026 置信度 0.80
• Artificial Intelligence in Self-Management of Gestational Diabetes Mellitus: A Systematic Review.
  The prevalence of gestational diabetes mellitus (GDM) continues to rise, necessitating reliable and effective self-management strategies to improve maternal and neonatal outcomes. However, current self-management models face challenges, including insufficient …
  europepmc 2026 置信度 0.80
• Artificial intelligence in neuroradiology: a review of Food and Drug Administration-regulated algorithms.
  Artificial intelligence (AI) is increasingly integrated into neuroradiology practice, with a growing number of FDA-cleared algorithms now supporting tasks ranging from acute triage to volumetric analysis. This review provides a structured overview of commercia…
  europepmc 2026 置信度 0.80
• A Review of Research on AI-Assisted Code Generation and AI-Driven Code Review
  With the significant breakthroughs of deep learning technologies such as large language models (LLMs) in the field of code analysis, AI has evolved from an auxiliary tool to a key technology that deeply participates in code optimization and resolving performan…
  crossref Yuzhi Wang 2025-11-29T01:13:20Z 置信度 0.70
• Why Are We Using Black Box Models in AI When We Don’t Need To? A Lesson From An Explainable AI Competition
  In 2018, a landmark challenge in artificial intelligence (AI) took place, namely, the Explainable Machine Learning Challenge. The goal of the competition was to create a complicated black box model for the dataset and explain how it worked. One team did not fo…
  crossref Cynthia Rudin, Joanna Radin 2019-11-21T17:47:40Z 置信度 0.70
• AI-driven semantic information retrieval for Arabic language- systematic literature review
  crossref Amany A. Slamaa 2026-02-04T20:04:27Z 置信度 0.70
• How to Define and Execute Your Data and AI Strategy
  Over the past decade, many organizations have come to recognize that their future success will depend on data and AI (artificial intelligence) capabilities. Expectations are high and companies are heavily investing in the area. However, our experience advising…
  crossref Ulla Kruhse-Lehtonen, Dirk Hofmann 2020-07-30T18:37:00Z 置信度 0.70
• Comments on Michael Jordan’s Essay “The AI Revolution Hasn’t Happened Yet”
  Comments on Michael Jordan' s Essay "The AI Revolution Hasn't Happened Yet" 2 This piece is a commentary on the article: "Artificial Intelligence-The Revolution Hasn't Happened Yet."The headline news is that, across a range of well-defined challenge tasks such…
  crossref David Donoho 2019-07-01T21:49:59Z 置信度 0.70
• Enhancing Cloud ERP Security with AI: A Review
  Cloud-based enterprise resource planning (ERP) systems contain valuable organizational data that faces various cybersecurity threats. Artificial intelligence (AI) technologies like machine learning, natural language processing, and predictive analytics can sig…
  crossref Michael Mills 2023-09-23T01:00:29Z 置信度 0.70
• A review about Green Marketing Studies with AI
  Marketing adalah proses bisnis yang melibatkan perencanaan, pengembangan, pelaksanaan, dan evaluasi strategi pemasaran untuk menciptakan nilai bagi pelanggan dan memenuhi tujuan organisasi. Pada awalnya, fokus pemasaran lebih banyak tertuju pada tujuan-tujuan …
  crossref Leonardus Jerry 2023-05-10T10:04:54Z 置信度 0.70
• AI Powered Robotics: Review of Technologies and Applications
  Artificial Intelligence (AI) has revolutionized the field of robotics, enabling unprecedented advancements in autonomy, adaptability, and efficiency. This paper provides a comprehensive review of AI-powered robotics, focusing on the underlying technologies and…
  crossref Sultana x, Mohammad Farish 2026-04-07T13:13:07Z 置信度 0.70
• A Unified Framework of Five Principles for AI in Society
  Artificial Intelligence (AI) is already having a major impact on society. As a result, many organizations have launched a wide range of initiatives to establish ethical principles for the adoption of socially beneficial AI. Unfortunately, the sheer volume of p…
  crossref Luciano Floridi, Josh Cowls 2019-07-01T21:48:21Z 置信度 0.70
• Does AI Usage Diminish Human Creativity?: How Goal Orientation Theory Moderates the Negative Effects Between AI Usage and Creative Output
  This study investigates a critical and previously unexplored question: Does habitual AI adoption diminish individual creativity? If so, what are the boundary conditions that may amplify or mitigate this negative effect? A total of 77 participants were recruite…
  crossref Letty Y. Y. Kwan, Yu Sheng Hung 2025-10-18T19:48:44Z 置信度 0.70
• Dr. AI or: How I Learned to Stop Worrying and Love Economics
  crossref Michael I. Jordan 2019-07-02T01:51:00Z 置信度 0.70
• Taking Up the Revolutionary Call: Principles to Guide a Purpose-Driven AI Future
  Professor Jordan's article, "Artificial Intelligence-The Revolution Hasn't Happened Yet," issues a timely call to action for the future of the field. Jordan dissects prior work in AI to show us that there is quite a long way to go and reminds us that many of t…
  crossref Brendan McCord 2019-07-01T21:50:32Z 置信度 0.70
• Recent Trends of AI in Pharmaceutical Industries: A Review
  Artificial intelligence (AI) algorithms have been used to evaluate actual knowledge, reports on unfavourable occurrences, and publications to monitor post-marketing medication safety and detect possible safety concerns concerning security and respect to standa…
  crossref Rutuja N* 2024-05-10T12:02:49Z 置信度 0.70
• Behavioural Science and AI-Driven Interventions in Energy Conservation: A Systematic Literature Review
  This systematic literature review synthesises findings from 45 peer-reviewed studies (2016–January 2026) on behavioural interventions for energy conservation. Key results show that social comparison nudges lower electricity use by 1.5% to 2.9%; about 52% of sa…
  crossref Eka Sudarmaji 2026-02-27T08:13:03Z 置信度 0.70
• AI techniques for IoT-based DDoS attack detection: Taxonomies, comprehensive review and research challenges
  crossref Bindu Bala, Sunny Behal 2024-03-30T12:38:11Z 置信度 0.70
• Science funding agencies say no to using AI for peer review
  crossref 2023-07-14T20:27:45Z 置信度 0.70
• ChatGPT, AI Tools, and Opportunities and Challenges for Research
  crossref Ador Revelar Torneo 2024-07-23T04:14:57Z 置信度 0.70
• Transforming Hiring and Retention: Mr. Edison Meets AI/ML
  Maryse Williams, founder and CEO of JobMorph, a job search company that combines automation, artificial intelligence (AI), and personalized services, prompts us to consider a future where AI is used to source talent.Whereas the job search industry has maintain…
  crossref Maryse Williams 2022-01-27T18:46:07Z 置信度 0.70
• A Review of AI-powered Diagnosis of Rare Diseases
  The diagnosis of rare diseases presents significant challenges due to their low prevalence, complex symptomatology, and the scarcity of specialized knowledge. However, advancements in Artificial Intelligence (AI) offer promising solutions to these challenges. …
  crossref Shanavaz Mohammed, Dr. Talmeez Ahmed Syed DDS, Nasar Mohammed, Waseem Sultana 2024-09-02T22:49:02Z 置信度 0.70
• Applications of Artificial Intelligence (AI) in healthcare: A review
  Artificial intelligence is revolutionizing — and strengthening — modern healthcarethrough technologies that can predict, grasp, learn, and act, whether it's employed toidentify new relationships between genetic codes or to control surgery-assisting robots.It c…
  crossref Mohammed Yousef Shaheen 2021-09-28T04:48:56Z 置信度 0.70
• PARTECIPAZIONE AI SINDACATI E AI PARTITI IN GERMANIA OCCIDENTALE E IN ITALIA
  Introduzione Uno dei legami piú promettenti tra ricerca micro-politica e ricerca macro-politica è rappresentato dallo studio degli atteggiamenti e delle esperienze di vita delle élites politiche e, in particolare, degli aderenti ai maggiori partiti politici. I…
  crossref Peter H. Merkl 2019-05-31T19:55:06Z 置信度 0.70
• Advancements in AI for cardiac arrhythmia detection: A comprehensive overview
  Cardiovascular diseases (CVDs) are a global health concern, demanding advanced healthcare solutions. Accurate identification of CVDs via electrocardiogram (ECG) analysis is complex. Artificial Intelligence (AI) offers potential in improving diagnostic accuracy…
  crossref Jagdeep Rahul, Lakhan Dev Sharma 2025-01-05T01:06:25Z 置信度 0.70
• A Review of AI-powered Diagnosis of Rare Diseases
  The diagnosis of rare diseases presents significant challenges due to their low prevalence, complex symptomatology, and the scarcity of specialized knowledge. However, advancements in Artificial Intelligence (AI) offer promising solutions to these challenges. …
  crossref Shanavaz Mohammed, Dr. Talmeez Ahmed Syed DDS, Nasar Mohammed, Waseem Sultana 2026-08-06T11:23:32Z 置信度 0.70
• ToonBook AI Review: The Ultimate ToonBook AI Review & OTO Upgrade Guide
  crossref Teresa Jenning 2026-02-27T08:38:08Z 置信度 0.70
• Мұғалімдер үшін жаңа өлшемдер : AR-VR & AI
  Мақалада білім беру саласындағы жаһандық тенденциялар мен жаңашыл ақпараттық технологияларды қолданудың маңыздылығы қарастырылған. Әр оқушының жеке оқу стилі мен қабілеттерін ескере отырып, білім беру процесіне жасанды интеллект (AI) технологияларын интеграция…
  crossref Айнагуль Алмуханбетова 2025-01-12T13:49:18Z 置信度 0.70
• Review of: "An AI-Human Collaborative Review of AI-Human Collaborative Reviews"
  The author gives a broad overview of the current conversation, touching on practical uses of AI tools, ethical concerns, and some of the tensions around co-authorship.The use of real tools (like ResearchRabbit and PaperFinder) to guide the review process is a …
  crossref Arpita Pathak 2025-08-05T19:18:45Z 置信度 0.70
• Review for "Data Integrity in Materials Science in the Era of AI: Balancing Accelerated Discovery with Responsible Science and Innovation"
  crossref 2025-11-04T21:09:15Z 置信度 0.70
• Review for "Data Integrity in Materials Science in the Era of AI: Balancing Accelerated Discovery with Responsible Science and Innovation"
  crossref 2025-11-04T21:09:15Z 置信度 0.70
• Comments on Michael Jordan’s Essay “The AI Revolution Hasn’t Happened Yet"
  This piece is a commentary on the article: "Artificial Intelligence-The Revolution Hasn't Happened Yet."We praise Jordan for bringing much-needed clarity about the current status of Artificial Intelligence (AI)-what it currently is and is not-as well as explai…
  crossref Emmanuel Candès, John Duchi, Chiara Sabatti 2019-07-01T21:49:38Z 置信度 0.70
• Review for "Data Integrity in Materials Science in the Era of AI: Balancing Accelerated Discovery with Responsible Science and Innovation"
  crossref 2025-11-04T21:09:15Z 置信度 0.70
• Integration of AI in Data Science: A Systematic Review
  This review paper discusses how Artificial Intelligence (AI) has been incorporated in data science and how it has influenced contemporary data-driven operations. It examines the important AI methods, such as machine learning, deep learning, natural language pr…
  crossref Surdesh Kumar Oad 2026-03-26T08:27:17Z 置信度 0.70
• LocalGenie AI Review: Fast Rankings With AI
  crossref sia mia 2026-02-26T21:52:27Z 置信度 0.70
• Challenges and Limitations of AI in Forensic Science: A Critical Review
  Artificial intelligence is a revolutionary technology that is changing the very fabric of conventional methods for evidence processing, pattern identification, and predictive modelling in forensic science.Implementation of artificial intelligence is likely to …
  crossref Kumar Shaswat Anand, Dr. Shailja Thakur 2025-02-10T15:17:20Z 置信度 0.70
• From mathematical to AI-based methods: A review of marine PNT data fusion and uncertainty handling
  The development of accurate and reliable Positioning, Navigation, and Timing (PNT) systems increasingly depends on advancements in computer science, particularly data fusion and uncertainty handling. Scientific research in maritime navigation focuses on trajec…
  crossref Natalia Ziółkowska, Joanna Szłapczyńska 2025-11-27T16:47:43Z 置信度 0.70
• AI readiness of Philippine Public Administration: A review of literature
  This literature review examines the AI readiness of the Philippine Public Administration by analyzing existing research. The review aims to answer the following questions: 1) How aware and knowledgeable are public administrators in the Philippines about AI? 2)…
  crossref Frede G. Moreno 2023-07-14T01:02:22Z 置信度 0.70
• Integrating Explainable AI with Federated Learning for Next-Generation IoT: A comprehensive review and prospective insights
  crossref Praveer Dubey, Mohit Kumar 2024-12-06T08:09:38Z 置信度 0.70
• Heterogeneous edge AI orchestration: A systematic review, taxonomy and future directions
  crossref Babar Ali, Sukhpal Singh Gill, Felix Cuadrado, Steve Uhlig 2026-08-14T09:40:49Z 置信度 0.70
• Edge-AI empowered Cyber-Physical Systems: A comprehensive review on performance analysis
  crossref Raj Kumar Baliyar Singh, K Hemant Kumar Reddy 2025-06-26T05:04:36Z 置信度 0.70
• AI Liability and Accountability: A Review of Emerging Legal Frameworks
  The abstract of this research paper delves into the evolving legal frameworks that are being established to address issues of liability and accountability concerning artificial intelligence (AI) systems. With the increasing integration of AI technology in vari…
  crossref Dwiti Gambhir, Raghu Raja Mehra 2025-09-22T11:26:25Z 置信度 0.70
• AI as a teaching augmentor: A review of the integration of AI in science education
  The integration of Artificial Intelligence (AI) in science education has witnessed significant advancements, transforming traditional teaching and learning practices. This narrative review examines the roles of AI in science education over a decade (2013–2022)…
  crossref Lindelani Mnguni 2025-07-01T16:52:29Z 置信度 0.70
• AI based advances in diagnosis of chronic obstructive pulmonary disease: A systematic review
  crossref Dhanashree Vipul Yevle, Palvinder Singh Mann, Dinesh Kumar 2025-09-11T10:00:06Z 置信度 0.70
• Methods and trends in detecting AI-generated images: A comprehensive review
  The proliferation of generative models, such as Generative Adversarial Networks (GANs), Diffusion Models, and Variational Autoencoders (VAEs), has enabled the synthesis of high-quality multimedia data. However, these advancements have also raised significant c…
  crossref Arpan Mahara, Naphtali Rishe 2026-01-21T14:40:41Z 置信度 0.70
• From AI Strategy to Executable Controls: A PRISMA-Guided Review of AI Governance for Cybersecurity Efficiency in Azerbaijan
  As Artificial Intelligence (AI) is rapidly being adopted into use throughout governments’ public services, critical infrastructure, and security capabilities it becomes increasingly important to define governance systems that operationalize strategy into execu…
  crossref Leyla Tarlan Dadashova, Rahid Zahid Alekberli 2026-06-08T02:07:00Z 置信度 0.70
• Data Protection and Generative AI: Inconclusive Answers to Unresolved Questions
  The article briefly discusses the challenges of data protection and the possible responses that this discipline can provide to generative AI regulations.
  crossref Romina Garrido 2024-05-31T21:52:15Z 置信度 0.70
• Carbon Emissions in the Tailpipe of Generative AI
  This essay responds to the call for exploring the wider societal risks and impacts of generative AI, particularly its environmental costs. Through a review of the available evidence on LLM’s carbon and water costs, we point out that generative AI technologies …
  crossref Tamara Kneese, Meg Young 2024-06-11T16:57:03Z 置信度 0.70
• “Leibniz, Computing, and AI”
  Centuries before the advent of computers, the German philosopher and mathematician Gottfried Wilhelm von Leibniz (1646–1716) sketched out a “computational ontology” whereby information operates as an organic principle imposing order, molding and driving it, in…
  crossref Audrey Borowski 2026-04-09T14:54:46Z 置信度 0.70
• How AI Detects Financial Fraud: A Review of Emerging Deep Learning Methods
  Financial fraud generates persistent risk and capital loss across sectors. This study investigates artificial intelligence (AI) methodologies for financial fraud detection, with emphasis on Retrieval-Augmented Generation (RAG). The review covers supervised cla…
  crossref Misato Mori 2025-07-16T13:34:20Z 置信度 0.70
• A Review of Aryabhata's Symbolic System and its Analogy with AI Encoding
  This Research note examines Aryabhata?s Varga?Avarga system as an early form of symbolic encoding, revealing structural parallels with modern principles of artificial intelligence, particularly in representation and reasoning. It highlights how Aryabhata?s int…
  crossref Tabsum B 2025-11-03T10:09:48Z 置信度 0.70
• How to Optimize the Systematic Review Process using AI Tools
  In this Papers Podcast, Dr. Nicholas Fabiano discusses his JCPP Advances Methodological Review ‘How to optimize the systematic review process using AI tools’. Nicholas is a co-first author of the paper, along with Arnav Gupta and Nishaant Bhambra. There is an …
  crossref 2024-06-24T11:29:00Z 置信度 0.70
• Generative AI and Large Language Models: A Comprehensive Scientific Review
  This systematic review examines the evolution, technical architecture, applications, limitations, and future directions of generative artificial intelligence (AI) and large language models (LLMs). Through comprehensive analysis of scientific literature, it was…
  crossref Bogdan-Iulian Ciubotaru 2025-04-14T01:06:41Z 置信度 0.70
• AI-Driven Advancements in Biomaterials Science: A Narrative Review
  INTRODUCTION Biomaterials have emerged as a key component of contemporary medicine, propelling advancements in drug delivery, implants, and regenerative medicine. But conventional trial-and-error methods of finding new materials are sometimes cumbersome, resou…
  crossref Sonali Patel, Akanksha Dwivedi, G.N. Darwhekar 2025-07-28T12:02:46Z 置信度 0.70
• Review for "Questioning the impact of AI and interdisciplinarity in science: Lessons from COVID-19"
  crossref 2024-09-18T17:08:28Z 置信度 0.70