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• Understanding and Using Artificial Intelligence in Libyan Dental Practice
  By improving patient engagement, treatment planning, and diagnostic accuracy, machine learning (AI) is quickly revolutionizing healthcare, including dentistry. However, nothing is known about Libyan dental professionals' and patients' awareness of and interact…
  crossref Abduladeem Gadad 2026-06-17T22:43:07Z 置信度 0.70
• Readiness and Anxiety among Medical Students Regarding Artificial Intelligence at a Medical College in Western India: A Cross-sectional Study
  Aims and background: Artificial intelligence (AI) is increasingly being integrated into medical education, clinical practice, and research.To be prepared for AI-related new roles and tasks in the future, medical students will need to be trained in AI, which wi…
  crossref Frederick Satiro Vaz, Yash G Tar, Ramsley M Cardozo, Shourya Gandhi 2026-08-11T10:35:06Z 置信度 0.70
• Integration Of Artificial Intelligence In Environmental Protection Technologies
  This research explores the integration of artificial intelligence (AI) into modern environmental protection technologies. It highlights how AI-driven systems—such as machine learning, computer vision, and data analytics—enhance environmental monitoring, pollut…
  crossref Jumaqulova Zulayho Bahodirjon kizi 2025-12-16T11:29:09Z 置信度 0.70
• Awareness of Artificial Intelligence in Medical Imaging Among Radiologists and Radiologic Technologists
  Background Current technological developments in medical imaging are primarily focused on increasing the integration of artificial intelligence (AI) into all medical imaging modalities. They are already considered capable of handling tasks such as image recons…
  crossref Kamal Alsultan 2023-04-30T11:39:00Z 置信度 0.70
• Enhancing Medical Image Recognition through Fuzzy Logic-Based Uncertainty Modeling in Artificial Intelligence Systems
  Medical image recognition has become a critical component in modern healthcare systems, enabling early diagnosis and improving clinical decision-making.However, traditional artificial intelligence (AI) models, particularly deep learning approaches, often strug…
  crossref Shabnam Hajieva 2026-05-15T06:08:52Z 置信度 0.70
• Artificial intelligence in land use prediction modeling: a review
  <p><span lang="EN-US">This study aims to review methods of artificial intelligence (AI) in land use modelling. Data were extracted from journals in the Scopus and Google Scholar databases using the preferred reporting items for systematic reviews a…
  crossref Westi Utami, Catur Sugiyanto, Noorhadi Rahardjo 2024-07-17T10:12:11Z 置信度 0.70
• Review for "The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group"
  crossref 2024-08-24T17:08:37Z 置信度 0.70
• Review for "Integrating Artificial Intelligence in the Diagnosis and Management of Metabolic Syndrome: A Comprehensive Review"
  crossref 2025-03-31T17:06:13Z 置信度 0.70
• A Methodological Framework for Integrating Artificial Intelligence Agents in Medical Device Design
  crossref 2025-12-06T07:11:31Z 置信度 0.70
• Stanford Emerging Technology Review 2025 Chapter 1: Artificial Intelligence
  crossref 2025-08-06T17:21:31Z 置信度 0.70
• Artificial Intelligence
  crossref Saleh Abbas 2025-07-24T11:35:29Z 置信度 0.70
• Too many ideas, just one word: a review of Margaret Boden's the Creative Mind: Myths and Mechanisms
  crossref Kenneth B. Haase 2003-09-11T23:30:03Z 置信度 0.70
• Policy Regulation of Artificial Intelligence: A Review of the Literature
  With the all-round penetration of new AI technologies into human society, the necessity of policy regulation is becoming more and more prominent. A review of the research results on policy regulation of AI in the West from 1992 to 2020 reveals that: the resear…
  crossref Mengdie Du 2023-02-10T06:54:44Z 置信度 0.70
• Anomaly detection in Smart-manufacturing era: A review
  crossref Iñaki Elía, Miguel Pagola 2024-11-21T20:04:56Z 置信度 0.70
• Artificial Intelligence in education: What are the opportunities and challenges?
  Objective:The paper aims to explore the integration of Artificial Intelligence (AI) tools in the educational sector. It underscores the urgent need for establishing proper regulations and checks to ensure the ethical and effective use of these tools. Method: T…
  crossref Altieres de Oliveira Silva, Diego dos Santos Janes 2023-08-30T21:24:28Z 置信度 0.70
• Artificial Intelligence for the Detection of Diabetic Retinopathy in Primary Care
  crossref 2019-10-19T03:26:54Z 置信度 0.70
• Knowledge, attitudes, and use of artificial intelligence by medical students: a mixed-method study (Preprint)
  BACKGROUND Artificial intelligence (AI) is transforming medicine by enhancing care and reducing administrative tasks, and facilitating research. AI also raises many concerns, including a lack of clinical context awareness, data dependence, and the absence of e…
  crossref Frédéric Paris, Laure Abensur Vuillaume 2026-01-14T15:40:08Z 置信度 0.70
• Generative artificial intelligence in postgraduate medical education
  Generative artificial intelligence is swiftly revolutionizing multiple areas, including healthcare and education. This research examines the possible advantages and hazards of generative artificial intelligence in graduate medical education. We examine the cur…
  crossref Nabi Akbarnezhad 2025-12-01T07:31:18Z 置信度 0.70
• Artificial Intelligence Tools: Utility in Quality Medical Education
  crossref P. Kruthika 2025-06-30T20:38:55Z 置信度 0.70
• Computational methods for Gene Regulatory Networks reconstruction and analysis: A review
  In the recent years, the vast amount of genetic information generated by new-generation approaches, have led to the need of new data handling methods. The integrative analysis of diverse-nature gene information could provide a much-sought overview to study com…
  crossref Fernando M. Delgado, Francisco Gómez-Vela 2018-11-09T08:55:06Z 置信度 0.70
• A Comprehensive Review of an Artificial Intelligence Assisted Resource Allocation Strategy in Wireless Sensor Networks
  In today’s world, the Wireless Sensor Network (WSN) is quite important. The implementation of sensor networks through wireless media has also risen, reflecting the growing importance of tracking and monitoring operations. Sensors are ubiquitous, but they come …
  crossref P. Packiyalakshmi, A. Ramathilagam 2024-07-02T18:01:35Z 置信度 0.70
• Artificial intelligence in the endoscopic approach of biliary tract diseases: A current review
  crossref Fábio Pereira Correia, Luís Carvalho Lourenço 2022-04-28T11:17:47Z 置信度 0.70
• Artificial intelligence strategies for simulating the integrated energy systems
  Abstract In recent decades, the operational impact of Artificial Intelligence (AI) strategies is massively dominating the scientific arena of improving the operation of energy systems and their hybrid integrations. Comprehensively, this paper highlights the fi…
  crossref M. Talaat, M. Tayseer, M. A. Farahat, Dongran Song 2024-04-01T12:01:52Z 置信度 0.70
• Cancer and Artificial Intelligence
  Cancer is a multifactorial group of diseases that are known to affect human life with incidence and mortality rates. Artificial Intelligence and the development of new strategies in cancer treatment are of great importance in helping physicians apply optimized…
  crossref Leyla Tutar 2024-06-24T11:54:08Z 置信度 0.70
• Deep semantic segmentation of natural and medical images: a review
  crossref Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad 等 2020-06-13T14:02:22Z 置信度 0.70
• Artificial Intelligence in Medical Imaging
  Choice Recommended Title, January 2021 This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exci…
  crossref Lia Morra, Silvia Delsanto, Loredana Correale 2019-11-26T08:29:57Z 置信度 0.70
• ARTIFICIAL INTELLIGENCE
  CHRISTOPHER LONGUET-HIGGINS, M.A. D.Phil. F.R.S.; ARTIFICIAL INTELLIGENCE, British Medical Bulletin, Volume 27, Issue 3, 1 September 1971, Pages 218–221, https:
  crossref CHRISTOPHER LONGUET-HIGGINS 2017-02-01T10:30:10Z 置信度 0.70
• Deep Learning for the Semiautomated Analysis of Pap Smears
  References ..................................................................................................................................... 211 The precision in distinguishing a cancerous structure from a benign structure has the potential to immediately …
  crossref 2013-10-11T17:35:58Z 置信度 0.70
• Role of artificial intelligence in medical IoT devices
  Artificial intelligence (AI) and Internet of Things (IoT) advancements are assisting the medical industry and allowing hospitals to utilize the data provided. Doctors are discovering AI applications all over the medical field. They may now simply monitor patie…
  crossref 2023-12-21T08:10:00Z 置信度 0.70
• Ethical Considerations in the Application of Artificial Intelligence in Health Systems: A Narrative Review
  Artificial Intelligence (AI) has emerged as a transformative technology in healthcare, enabling the management of vast data volumes and predictive analysis of the future of issues to support decision-making. This narrative review examines ethical dimensions of…
  crossref Saeedeh Saeedi Tehrani, Jannat Mashayekhi, Abdolhassan Kazemi, Saeed Biroudian 2025-05-31T07:08:25Z 置信度 0.70
• The Use of Artificial Intelligence in Facilities Management: Potential Applications from Systematic Literature Review
  The use of artificial intelligence (AI), which is in constant development, has impacted various spheres of society, profoundly reshaping how organizations conduct their business and bringing significant challenges. Understanding the applications and maturity l…
  crossref Robson Quinello, Paulo Tromboni de Souza Nascimento 2025-03-18T21:56:26Z 置信度 0.70
• List of contributors
  crossref 2021-02-10T13:23:46Z 置信度 0.70
• Patient Perspectives on Artificial Intelligence in Medical Imaging (Preprint)
  UNSTRUCTURED The integration of artificial intelligence (AI) into medical imaging has the potential to improve diagnostic accuracy, efficiency, and patient outcomes. However, its successful adoption may depend not only on technological advancements but also on…
  crossref Jeffry Glenning, Lisa Gualtieri 2024-11-06T11:53:35Z 置信度 0.70
• Call for papers: CSCSI-86 Canadian artificial intelligence conference
  crossref 2003-03-14T08:02:52Z 置信度 0.70
• Role of Artificial Intelligence in Newborn Screening: A Comprehensive Review
  Artificial intelligence (AI) is the capacity of computer systems to perform tasks typically associated with human cognition, including learning, reasoning, problem-solving, perception, and decision-making. The tools and software that allow computers to sense t…
  crossref Anurag Chakraborty, Archana Dhok, Ashish Anjankar 2026-02-23T20:43:58Z 置信度 0.70
• Intelligent optimization: Literature review and state-of-the-art algorithms (1965–2022)
  crossref Ali Mohammadi, Farid Sheikholeslam 2023-11-16T01:54:41Z 置信度 0.70
• Review for "Artificial intelligence for language learning: A systematic review of its design, theoretical foundations, implementation, and impact"
  crossref 2025-11-26T02:46:17Z 置信度 0.70
• A Scoping Review of Racial Bias Mechanisms and Mitigation Frameworks in Clinical Artificial Intelligence
  Abstract This scoping review synthesizes evidence on how racial bias arises in clinical artificial intelligence (AI) systems and how it can be mitigated through technical, governance, and policy approaches. We conducted a scoping review of clinical AI/ML studi…
  crossref Aayush Sisodia 2026-01-21T10:16:21Z 置信度 0.70
• Racial Bias Mechanisms and Mitigation Frameworks in Clinical Artificial Intelligence: A Structured Narrative Review
  Abstract This structured narrative review synthesizes evidence on how racial bias arises in clinical artificial intelligence (AI) systems and how it can be mitigated through technical, governance, and policy interventions relevant to health system deployment. …
  crossref Aayush Sisodia 2026-05-22T06:32:56Z 置信度 0.70
• A Brief Review of Artificial Intelligence for Sport Informatics in the Scope of Human–Computer Interaction
  crossref Marco Speicher, Patrick Berndt 2024-09-02T19:02:26Z 置信度 0.70
• Editorial – The 15th Artificial Intelligence and Cognitive Science Conference (AICS-04)
  crossref Lorraine McGinty, Brian Crean 2005-10-20T14:05:37Z 置信度 0.70
• Artificial Intelligence in Science Education: An Integrative Review of Personalized Learning, Ethics, and Policy Challenges
  Artificial intelligence (AI) is swiftly revolutionizing science education through the implementation of adaptive and generative technologies that personalize learning, automate assessment, and facilitate inquiry-based experimentation. This integrative review c…
  crossref Konstantinos T. Kotsis 2026-02-13T19:13:31Z 置信度 0.70
• Artificial Intelligence Applied to Medical Imaging and Computational Biology
  Medical imaging and computational biology continuously pose new fundamental medical and biological questions that often give rise to novel challenges in Artificial Intelligence. These research fields present an increasing need for the application of cutting-ed…
  crossref 2023-03-10T02:37:24Z 置信度 0.70
• Medical Data Analysis and Processing using Explainable Artificial Intelligence
  crossref Om Prakash Jena, Mrutyunjaya Panda, Utku Kose 2023-09-15T21:05:06Z 置信度 0.70
• The AID Study 2: Artificial Intelligence for Colorectal Adenoma Detection 2
  crossref 2020-02-08T03:51:46Z 置信度 0.70
• IJCAI-79, Sixth international joint conference on artificial intelligence
  crossref 2005-02-10T09:09:02Z 置信度 0.70
• Deep Learning Algorithms in Medical Image Processing: A Critical and Comprehensive Review
  Deep learning has soon taken medical image processing to the cutting-edge, with stateof-the-art performance in classification, segmentation, and anomaly detection. Convolutional neural networks (CNNs) led early breakthroughs, then generative adversarial networ…
  crossref Mohammed Ahmed Alharbi, Morched Derbali, Rayed Alakhtar, Mutasem Jarrah 2025-11-10T11:12:18Z 置信度 0.70
• A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
  The increasing number of medical devices in the Internet of Medical Things (IoMT) environment has raised significant cybersecurity concerns. These devices often have weak security features, poor design, and insufficient authentication protocols, making them vu…
  crossref Arezou Naghib, Farhad Soleimanian Gharehchopogh, Azadeh Zamanifar 2025-01-30T00:47:03Z 置信度 0.70
• Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review
  The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews. Here sentiment analysis plays an important…
  crossref Komang Wahyu Trisna, Huang Jin Jie 2022-01-07T16:01:25Z 置信度 0.70
• A review of Brain Cancer Detection and Classification Using Artificial Intelligence and Machine Learning
  Brain cancer is a devastating and life-threatening disease that affects millions of individuals worldwide. Timely and accurate detection of brain tumors is crucial for effective treatment and patient outcomes. In recent years, there has been a growing interest…
  crossref Sanjukta Chakraborty, Dilip Kumar Banerjee 2024-05-17T13:02:23Z 置信度 0.70
• A scoping review of emerging benefits and challenges of generative artificial intelligence in postgraduate research supervision
  The integration of generative artificial intelligence (GenAI) tools is rapidly transforming higher education. While these technologies offer promising opportunities to enhance research practices, they also raise essential challenges and ethical concerns. This …
  crossref D. Gumede, P. R. Gumede 2026-05-29T03:47:48Z 置信度 0.70
• Artificial intelligence techniques and their application in oil and gas industry
  crossref Sachin Choubey, G. P. Karmakar 2020-11-16T08:18:45Z 置信度 0.70
• Review for "Artificial Intelligence in Wire Arc Additive Manufacturing: A Systematic Review and Patent Landscape Analysis"
  crossref 2025-12-12T21:12:02Z 置信度 0.70
• Review for "The Use of Artificial Intelligence for Complete Cytoreduction Prediction in Epithelial Ovarian Cancer: A Narrative Review"
  crossref 2023-02-28T16:01:37Z 置信度 0.70
• Review for "Artificial intelligence for language learning: A systematic review of its design, theoretical foundations, implementation, and impact"
  crossref 2025-11-26T02:46:17Z 置信度 0.70
• Review for "Artificial intelligence for language learning: A systematic review of its design, theoretical foundations, implementation, and impact"
  crossref 2025-11-26T02:46:17Z 置信度 0.70
• Context-dependent immune regulation: a mechanistic and AI-enabled integrative framework.
  The immune system functions as a dynamic, multiscale, and context-sensitive network whose outputs depend on cellular composition, spatial organization, metabolic state, host background, and temporal trajectory. These properties have long been investigated thro…
  pubmed Chen Q, Zhu Y, He Y, Wang Y 等 2026 置信度 0.82
• Agentic Artificial Intelligence in Eye Banking: A Proposed Workflow.
  To develop an agentic artificial intelligence (AI) framework that streamlines and standardizes eye bank operations by automating donor screening, image analysis, and tissue suitability assessment under expert supervision.
  pubmed Karmakar R, Kiros EK, Nath S, Keane PA 等 2026 Jun 置信度 0.82
• The role of Epstein-Barr virus in NK/T cell lymphoproliferative disorders: molecular mechanisms and potential therapeutic strategies.
  Epstein-Barr virus (EBV) is a widely prevalent lymphotropic γ-herpesvirus, with approximately 95% of the population showing evidence of infection at some point during their lifetime. While most infections are asymptomatic or follow a self-limiting clinic…
  pubmed Fan M, Kou H, Tang LV 2026 置信度 0.82
• From serum inflammatory markers to fluid, tissue, and molecular assays: current advances in the laboratory diagnosis of bone and joint infections.
  Bone and joint infections (BJIs), including periprosthetic joint infection (PJI), fracture-related infection (FRI), and osteomyelitis, present persistent diagnostic challenges driven by biofilm formation and a high incidence of culture-negative cases. Traditio…
  pubmed Li J, Lian S, Liu Y, Yang X 等 2026 置信度 0.82
• Descriptive analysis of prescription interception patterns: characterizing medication safety risks in an outpatient setting.
  Prescription errors remain a significant challenge to medication safety in hospital settings. Forced Interception (FI) systems, which automatically flag and block potentially problematic prescriptions, serve as critical safeguards against adverse drug events. …
  pubmed Li N, Tang W, Li N, Gong C 等 2026 置信度 0.82
• Interpretable and explainable artificial intelligence for wearable sensor-based fall risk assessment in older adults: a systematic review with considerations for prosthetics and orthotics.
  Falls among older adults are a leading cause of morbidity and loss of independence. Wearable sensors combined with machine learning (ML) offer opportunities for objective fall risk evaluation, but low model transparency limits clinical adoption. Interpretable …
  pubmed Samdani AH, Khan SJ, Farhan M, Yusuf KQ 等 2026 置信度 0.82
• Evidence integration: The transformative role of artificial intelligence in maternal health.
  Global maternal health outcomes remain inequitable, particularly in low- and middle-income countries, due to persistent gaps in access, care continuity, and postpartum follow-up. Digital health tools, especially mobile health and artificial intelligence, offer…
  pubmed Baniasadi M, Radfar A, Najafi K, Aftabi H 等 2026 Jan-Dec 置信度 0.82
• LLM-as-a-judge for infection prevention and control and antimicrobial resistance impact: comparing three main LLMs vs. human experts' assessment.
  Large language models (LLMs) are increasingly used to generate health information, yet their reliability as evaluators remains unclear. This study investigated the feasibility of an LLM-as-a-judge methodology in the context of infection prevention and antimicr…
  pubmed Di Pumpo M, Villani L, Gualano MR, Buonsenso D 等 2026 置信度 0.82
• The trends of retinoblastoma research in the past decade.
  To conduct a bibliometric analysis of retinoblastoma (RB) research to delineate global research trends, identify key research contributors, and highlight emerging research directions in this field.
  pubmed Yang YH, Zhou WD, Zhao HQ, Zhang RH 等 2026 置信度 0.82
• AI literacy in undergraduate medical education: a competency-based interpretive framework for curriculum and assessment.
  Artificial intelligence (AI) is becoming a core educational concern in undergraduate medical education as AI-enabled tools increasingly shape clinical workflows, learning environments, and patient care. The challenge is no longer simply whether AI should be in…
  pubmed Fu C, Li J, Fan H, Ren R 等 2026 置信度 0.82
• Nurses' AI training acceptance and tool usage: a structural equation model of individual and hospital-level factors.
  With the rapid advancement of artificial intelligence (AI), it has exerted a profound influence on the medical field. Currently, AI applications in nursing remain nascent in China. This study aimed to investigate nurses' attitudes and anxiety levels toward AI …
  pubmed Guo L, Ding Q, Tang M, Wei S 等 2026 置信度 0.82
• Trauma behind the algorithm: a phenomenological analysis of violent content data work.
  One of the promises of artificial intelligence (AI) is that it can automate many roles currently performed by humans. However, in the ethics of AI, increased attention is given to the vast amount of labour required for the development, processing, annotation, …
  pubmed Ryan M 2026 置信度 0.82
• Analysis of latent profiles and influencing factors of artificial intelligence anxiety among newly recruited nurses: a cross-sectional study.
  To investigate the current status of artificial intelligence (AI) anxiety among newly recruited nurses, explore its latent categories and characteristics, and analyze related influencing factors, thereby providing a scientific basis for promoting the acceptanc…
  pubmed Ma X, Wang H 2026 置信度 0.82
• From Intensive Care Unit Prediction to Intensive Care Unit Accountability: A Global Readiness Passport for Machine-learning Prognostication.
  pubmed Vijayasimha M, Srikanth M, Kaur R, Thukral B 等 2026 Jun 置信度 0.82
• AI in transplantation: levelling the playing field and raising the methodological standards.
  pubmed Pilat N, Bellini MI, Berney T, Aubert O 2026 置信度 0.82
• A hybrid ViT-L/32-MaxViT-L architecture with adaptive gated fusion for multiclass gastrointestinal disease detection and multi-method post-hoc explainability.
  Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture…
  pubmed Ganie SM, Dutta Pramanik PK, Zhao Z 2026 置信度 0.82
• Stage-specific machine learning prediction of cumulative live birth in women with diminished ovarian reserve.
  Women with diminished ovarian reserve (DOR) experience cumulative live birth (cLBR) rates below 30% following embryo transfer, yet existing prediction tools rely on static baseline parameters and lack interpretability, limiting their clinical utility for couns…
  pubmed Liu L, Liu B, Huang Q, Qin L 等 2026 置信度 0.82
• Interpretable machine learning-driven multi-omics risk stratification and drug repurposing nominates Treg/Th17 with gluconeogenesis/lactylation integration as a prognostic and druggable biomarker for glioblastoma patients.
  Dysregulation of Treg/Th17 balance and gluconeogenesis/lactylation contributes to glioblastoma (GBM) progression. Hence, it is essential for gaining insights into their mechanisms in GBM.
  pubmed Xie S, Chen W, Zhang B, Weng S 2026 置信度 0.82
• Beyond static biomarkers: systems biology and AI for decoding cancer dynamics.
  Precision oncology has been built largely on static biomarkers, including mutational profiles, receptor status, histopathologic classes, and single-time-point molecular signatures. These readouts have transformed diagnosis and treatment selection, but they rem…
  pubmed Dutta S, Goli A 2026 置信度 0.82
• Large-Scale Multi-Cancer Detection by Learning Segmentation from Reports.
  More than 300 million computed tomography (CT) scans are performed worldwide each year, yet many early or incidental tumors in these scans remain undetected. Artificial intelligence (AI) could help: segmentation models can surpass radiologists and alternative …
  pubmed Bassi PRAS, Zhou X, Li W, Płotka S 等 2026 Jul 15 置信度 0.82
• A Synchronization-Driven Learning Rule for Pattern Separation in Self-Organizing Probabilistic Spiking Neural Networks.
  Neuroscience-inspired neural networks provide a promising framework for bridging biological principles and adaptive artificial intelligence systems. Here, we propose a novel synchronization-based synaptic learning rule for self-organizing probabilistic spiking…
  pubmed Faghihi F, Moustafa A, Neymotin S 2026 Jul 14 置信度 0.82
• Exploring Attitudes of Primary Caregivers Towards Pediatric Tissue-Based Research using Large Language Models: Insights from Rural and Urban Community Calls and Surveys.
  Explore the perspectives of primary caregivers towards pediatric tissue-based research participation.
  pubmed Chotani A, Moradinasab N, Sullivan BH, Griffin-Scudari L 等 2026 Jul 13 置信度 0.82
• The topology of adolescent mental health.
  The increased vulnerability to mental health problems in adolescence is frequently reported but poorly understood, hampered by a rigid diagnostic system which fails to capture intertwining symptoms and only loosely aligns with biological axes of variability. H…
  pubmed Jelen MB, Mousley A, Fakhar K, Trachtenberg E 等 2026 Jul 15 置信度 0.82
• Reproducible-by-design: Romics Processor, a FAIR ecosystem for multi-omics and spatial-omics analysis.
  Multi-omics and spatial-omics technologies are exploding in use, producing increasingly complex datasets. Existing bioinformatics tools are developing rapidly but fail to fully enforce the FAIR principles, leaving the field vulnerable to escalating issues in c…
  pubmed Gorman BL, Bhotika H, Jehrio M, Purkerson JM 等 2026 Jul 15 置信度 0.82
• Transplant-Agents: A Multi-Agent Artificial Intelligence Framework for Reproducibility Assessment of Post-Transplant Risk Prediction and Rejection Biomarkers.
  Reproducible biomarker identification and transplant rejection risk prediction remain fundamental yet unsolved challenges in transplantation medicine. Traditional approaches rely on hypothesis-driven analyses and domain expertise, limiting scalability and gene…
  pubmed Ding S, Bhattacharya S, Sarwal MM, Sirota M 等 2026 Jul 14 置信度 0.82
• Surgery Versus Radiotherapy in Older Adults with Oral Cavity Cancer: A Nationwide Comparative Effectiveness Study.
  Older adults with oral cavity squamous cell carcinoma (OCSCC) are underrepresented in clinical trials, and the comparative effectiveness of surgery versus definitive radiotherapy with or without chemotherapy (RT ± CT) remains uncertain.
  pubmed Lin KC, Chang CL, Chen WM, Shia BC 等 2026 Jan-Dec 置信度 0.82
• Mortality risk estimation for autistic older adults: comparing novel machine-learning derived weights versus standard weights for the Charlson Comorbidity Index.
  Aim: We aimed to compare Quan and colleagues (2011) established weights for the Charlson Comorbidity Index (CCI) conditions to autism-specific weights for predicting mortality risk in autistic older adults. Materials & methods: We used inpatient healthcare…
  pubmed Blake M, Nikahd M, Hyer JM, Patterson BW 等 2026 Aug 置信度 0.82
• Radiolabeling of clinically approved nanomedicine carriers: lessons from albumin- and liposome-based systems for biomaterial design and translational imaging.
  Radiolabeling is a powerful approach for investigating the in vivo behavior of nanomedicine carriers beyond conventional pharmacokinetic analysis. This review examines clinically approved nanocarrier platforms, particularly albumin-bound nanoparticles and PEGy…
  pubmed Han YR, Lee SB 2026 Aug 置信度 0.82
• Glomerular Crescents in Adult Lupus Nephritis: Clinical and Pathological Insights From Saudi Arabia.
  Crescent formation is a marker of severe kidney injury in lupus nephritis (LN), but data from Saudi Arabia are scarce. We studied how crescents affect clinical features, pathology, and outcomes in Saudi patients.
  pubmed Al-Qurashi SH, Khalil MAM, Mahmood HHK, Alrowaie FA 等 2026 置信度 0.82
• Enhancing Deep Learning Chest Disease Diagnosis through Adversarial Training for Robust and Reliable Medical Imaging.
  Chest X-ray imaging is widely used for the diagnosis of thoracic diseases; however, developing reliable automated systems remains challenging due to variability in imaging conditions and disease presentation.
  pubmed Al Omar AF, Aljawarneh SA 2026 Jul 26 置信度 0.82
• Artificial intelligence-enhanced electrocardiography for prediction of cancer therapy-related cardiac dysfunction.
  pubmed Zeidaabadi B, Glen C, Barker J, Peck OH 等 2026 Aug 4 置信度 0.82
• Intelligent Automation Improved Efficiency in Pharmacovigilance Safety Signal Assessment.
  Pharmacovigilance is the science involving the detection, assessment, understanding, and prevention of adverse events associated with drugs, biologics, or medical devices. In pharmacovigilance, information that suggests a new potential causal relationship betw…
  pubmed Warner J, Teodoro LHS, Jardim AP, Albera C 2026 Jul 29 置信度 0.82
• Clinical justification for osteoporosis investigation: transitioning from opportunistic to diagnostic referrals from alternative forms of imaging.
  Clinical justification remains fundamental to the safe use of imaging involving ionising radiation, requiring a favourable balance between diagnostic benefit and stochastic risk. Concurrently, advances in imaging technology and artificial intelligence have ena…
  pubmed Meertens R, Senior C 2026 Jul 29 置信度 0.82
• Patients might distrust honest doctors.
  Evidence-based medicine revolutionized clinical practice, bringing expectations that physician-patient communication should be similarly transparent about scientific evidence and uncertainty. However, the replication crisis has revealed significant weaknesses …
  pubmed Hyde B 2026 Jul 28 置信度 0.82
• Preliminary Evaluation of a Dental Virtual Standardized Patient in Endodontic Clinical Reasoning and Decision-Making: Face and Construct Validity.
  To develop and evaluate a dental virtual standardized patient (D-VSP) integrating natural-language intent recognition, a high-fidelity haptic simulator, and chairside visuals, to establish its face validity as a training tool for endodontic clinical reasoning …
  pubmed Yuan Z, Zhu Q, Ren Y, Xu Y 等 2026 Jul 28 置信度 0.82
• The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI) to Support Decision Making in Emergency Departments: Model Explainability and Feature Importance Analysis.
  Evaluate the importance of specific variables contributing to a recently reported Artificial Intelligence (AI) prediction model called Sydney Triage to Admission Risk Tool with Artificial Intelligence (START-AI) to predict inpatient admission from the Emergenc…
  pubmed Dinh M, Corbett E, Ngo TT, Salmon E 等 2026 Aug 置信度 0.82
• Combining Artificial Intelligence and Indocyanine Green-Dyed Gauze for Dual-Navigation in Minimally Invasive Gastrointestinal Surgery: A Preliminary Study.
  This preliminary study evaluated the feasibility of a dual-navigation strategy that integrates artificial intelligence (AI)-assisted identification of safe dissection planes with indocyanine green (ICG)-dyed gauze-based localization of anatomical targets durin…
  pubmed Tashiro Y, Aoki T, Watanabe R, Yamazaki K 等 2026 Jul 28 置信度 0.82
• Reducing healthcare emissions in the United States in the era of federal environmental deregulation: established and emerging mitigation opportunities and concomitant benefits.
  The United States (US) healthcare sector leads the world in per capita greenhouse gas emissions, contributing disproportionately to global climate change. The recent reversal of federal climate regulations has increased the need for voluntary and urgent action…
  pubmed Mascarenhas E, Fayanju OA, Arroyo AC, Tirumalasetty J 2026 Jul 28 置信度 0.82
• Artificial Intelligence in Psychiatric Graduate Medical Education.
  Psychiatry graduate medical education (GME) faces converging pressures of increasing clinical demand, rising administrative burden, and workforce burnout. The emergence of artificial intelligence (AI), particularly large language models (LLMs), offers new poss…
  pubmed Khan M, Edgcomb J, Heldt J, Yang Y 等 2026 Jul 28 置信度 0.82
• AI proteomics: from protein identification to virtual cells.
  Artificial intelligence (AI) is transforming scientific research, including proteomics. In this Perspective, we highlight key mass spectrometry (MS)-based proteomics areas where AI is driving innovation, ranging from protein identification to building AI virtu…
  pubmed Sun Y, A J, Liu Z, Sun R 等 2026 Jul 28 置信度 0.82
• High incidence of colorectal cancer in Japanese individuals with hypertension.
  The association between hypertension and the incidence of colorectal cancer remains controversial. This study aimed to clarify this relationship in a Japanese population using two large-scale cohort datasets. We conducted a population-based retrospective cohor…
  pubmed Mizuno H, Nakatani E, Oze I, Fujii R 等 2026 Jul 28 置信度 0.82
• Machine learning approaches to predict early cardiac immune-related adverse events in patients receiving immune checkpoint inhibitors.
  Immune checkpoint inhibitor (ICI)-induced cardiac immune-related adverse events (cardiac irAEs) are rare yet serious complications. Clinical assessment tools to identify at-risk patients would allow for more effective prevention strategies, thus improving…
  pubmed Sayer M, Chang PD, Hamano H, Yamamoto R 等 2026 Jul 29 置信度 0.82
• Machine learning reveals biocontrol agents shaping disease outcome in natural Arabidopsis populations.
  Plants recruit antagonistic microbes to defend against phytopathogens, offering a route to rational biocontrol beyond empirical screening. Here, using six generations of leaf-microbiome data from natural Arabidopsis populations infected by the oomycete Albugo …
  pubmed Mahmoudi M, Hu Y, Almario J, Stincone P 等 2026 Jul 28 置信度 0.82
• Artificial intelligence and asthma: Pros, cons, and potential impact on community outcomes.
  pubmed Covington C, Mueller KS, Acevedo J 2026 Jul 2 置信度 0.82