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• Computational study of the kinetics and mechanism of radical polymerization of acrylic acid and derivatives in organic solvents.
  Free-radical polymerization of acrylic acid derivatives (AADs), such as acrylic acid (AA), methyl acrylate (MA), acrylamide (AM), methacrylic acid (MAA), and methyl methacrylate (MMA), proceeds through radical addition of monomers during initiation and propaga…
  pubmed Bay MV, Linh PTT, Tram TLB, Hoa NT 等 2026 Feb 5 置信度 0.82
• Nighttime lights as a proxy for conflict intensity and infrastructure recovery in Yemen and Ukraine.
  Quantifying the impacts of armed conflict on civilians and infrastructure remains a major challenge, particularly where reporting is limited. Most conflict measurement tools require affected populations to report events and are limited by short time series, un…
  pubmed Tarnas MC, Vasylyeva TI, Minin VM, Parker DM 2026 Feb 6 置信度 0.82
• Leveraging artificial intelligence policy for inclusive and sustainable youth entrepreneurship: micro evidence from China.
  Artificial intelligence (AI) policy is increasingly used to align digital transformation with the Sustainable Development Goals by fostering decent work, innovation, and reduced inequality. Youth entrepreneurship is a key channel through which these objectives…
  pubmed Wang L 2026 置信度 0.82
• Human Factors Influencing Trust in Healthcare Artificial Intelligence: Systematic Literature Review.
  OCCUPATIONAL APPLICATIONSThe adoption of AI in healthcare depends on calibrated trust-trust that matches the system's reliability and context. This review shows that clinicians value workload reduction, explainability, and alignment with clinical judgment, whi…
  pubmed Choudhury A, Shamszare H 2026 Apr-Jun 置信度 0.82
• Discovery of potential antiviral compounds and accelerating the therapeutic discovery against monkeypox virus.
  Monkeypox virus is a zoonotic virus of the genus Orthopox viruses. It can be transmitted through direct or indirect contact with animals or infected ones. Owing similarity of pathogenesis with smallpox, the same drugs can be used for both viruses, but they are…
  pubmed Ahmad F, Navid A, Irfan M, Almajhdi FN 等 2026 Feb 11 置信度 0.82
• Navigating innovation: the lived experiences of orientation & mobility specialists using assistive technology and virtual reality.
  The purpose of this study was to explore the lived experiences of Certified Orientation and Mobility Specialists (COMS) integrating assistive technology (AT) and virtual reality (VR) into their practice. Drawing from broader research on AT adoption, these find…
  pubmed Beach P, Lytle B, Ness N, Leung S 等 2026 Jul 置信度 0.82
• Hormonal rewiring of immunity during dietary restriction ensures host defense and systemic glucose conservation.
  Food shortages and infectious diseases were constant threats throughout mammalian evolution and often occurred simultaneously. When food availability is reduced, it is unclear how the host adapts to support glucose-demanding immune processes while preventing h…
  pubmed Menezes-Silva L, Jeong M, Carr C, Schneider RM 等 2026 Mar 10 置信度 0.82
• Surgical Robotic System for Precision Femoral Fracture Reduction.
  Malalignment after femoral fracture repair remains common, with up to one-third of patients experiencing malrotations. Manual femoral fracture reduction remains physically demanding and fluoroscopy-dependent. Surgeons must apply traction forces to overcome for…
  pubmed Rezapour-Shafigh H, Patel A, Noupada S, Saeedi-Hosseiny MS 等 2026 Apr 15 置信度 0.82
• AI-powered detection of cyberbullying in short-form video content: A hybrid deep learning framework.
  The explosive rise of short-form video platforms such as Instagram Reels, TikTok, and YouTube Shorts has transformed digital expression while intensifying the spread of cyberbullying. Unlike video abuse conveys multimodal cues visual, text-based harassment, au…
  pubmed Mazhar AA, Zada I, Aldhayan M, Alsalamah S 等 2026 置信度 0.82
• Evaluating the reliability and guideline concordance of ChatGPT-5 in the management of vascular diseases: a cross-sectional expert-based assessment.
  Artificial intelligence (AI) tools such as large language models are increasingly used in clinical decision support, yet their reliability in vascular medicine remains uncertain. This study evaluated the accuracy and guideline concordance of ChatGPT-5 in vascu…
  pubmed Yilmaz Ü, Yeşilkaya MI 2026 Jun 置信度 0.82
• Multimodal human-in-the-loop artificial intelligence with affective feedback for accelerated high-entropy alloy discovery.
  High-entropy alloys (HEAs) are emerging as next-generation structural materials due to their outstanding mechanical and functional properties. However, their vast compositional and configurational complexity poses major challenges for conventional trial-and-er…
  pubmed Jiang J, Qian J, Xue R, Wang J 等 2026 Apr 27 置信度 0.82
• More details, less variability? A crossover design study on the impact of information granularity on ChatGPT's training program stability.
  This study aimed to evaluate how varying levels of information granularity affect the output variability and multidimensional quality - including Personality, Effectiveness, Safety, and Feasibility - of ChatGPT-generated training programs. A crossover design w…
  pubmed Yang Z, Zhang X, Li H, Ye J 2026 Jan 置信度 0.82
• Automated deep learning pipeline for measuring lumbar thecal sac AP diameter on mid-sagittal MR images.
  To develop and validate an automated, disc-level deep learning pipeline for quantitative measurement of anteroposterior (AP) thecal sac diameter on mid-sagittal lumbar T2-weighted MRI.
  pubmed Nixon A, Lazar VR, Pendem S, Sekar K 等 2026 Feb 10 置信度 0.82
• Quality by Design Integration of Design of Experiments for Tablet Formulation Optimization and Process Validation.
  Quality by design (QbD) and design of experiments (DoE) have become central to modern pharmaceutical development, yet most guidance and reviews treat formulation development, process optimization, and process validation as largely separate activities. This nar…
  pubmed Suksaeree J, Monton C, Maneewattanapinyo P 2026 Feb 10 置信度 0.82
• Structural Color Mixing in Single-Pitched Cholesteric Liquid Crystals with Dimple Arrays via Dual Retroreflection Pathways.
  Cholesteric liquid crystals (CLCs) exhibit structural colors through selective reflection at their photonic stopband. However, their single-band reflection within the visible spectrum restricts accessible color diversity. While multiple helical pitches can bro…
  pubmed Park S, Lee SS, Kim SH 2026 Feb 25 置信度 0.82
• Exploring the potential of explainable deep learning for EEG-based cognitive decline prediction.
  Detecting Alzheimer's disease (AD) at an early stage is essential for administering effective treatments and preventing neuronal damage. Unfortunately, current diagnostic techniques are often invasive and expensive. Our research focuses on creating a cost-effe…
  pubmed Grillenberger AJ, Shenton N, Lauritzen M, Benedek K 等 2026 Mar 置信度 0.82
• Beyond traditional stimuli: Validating AI-generated images for eliciting negative emotions in affect research.
  Studies of emotion often rely on standardized stimulus sets to elicit affective responses. Although established databases provide images with normative valence and arousal ratings, selecting suitable stimuli can be difficult when experiments require specific t…
  pubmed Chiu HT, Sou HI, Lam YW, Ng CSF 等 2026 置信度 0.82
• Smartphone-Based Portable Slit Lamp in Anterior Segment Diseases: A Narrative Review of Clinical Assessment and Integration with Artificial Intelligence.
  Smartphone-based portable slit lamps are rapidly evolving from simple add-ons into practical, low-cost front-line tools for anterior segment care beyond traditional clinical settings. By integrating high-performance smartphone cameras with compact optical atta…
  pubmed Liu X, Meng L, Chen Y, Chen H 2026 Mar 置信度 0.82
• Associations of AI-Based Facial Metrics With Patient-Reported Outcomes in Idiopathic Facial Paralysis.
  Conventional grading scales and static image assessments may not capture dynamic facial movement in facial paralysis. We developed a video-based, dynamic, artificial intelligence (AI) application, DynaFace, to objectively quantify facial metrics and determine …
  pubmed Renne A, Heaton J, Boahene KD 2026 Jul 置信度 0.82
• Experimental analyses of RFdiffusion designed Miniproteins for binding to SARS-CoV-2 nucleocapsid protein.
  Miniprotein designs are emerging as promising antibody alternatives for therapeutic and diagnostic use. Using RFdiffusion, we designed 538 binder candidates targeting both N and C-terminal domains of the SARS-CoV-2 nucleocapsid protein, selecting 19 for recomb…
  pubmed Khakerwala Z, Kumar A, Gaikwad SS, Barik T 等 2025 Dec 23 置信度 0.82
• Knowledge-Guided Machine Learning for Global Change Ecology Research.
  Global change ecology demands predictive models that reconcile data-driven learning with mechanistic theory to address complex, interconnected ecosystem challenges. Traditional process-based approaches struggle with spatiotemporal parameterization, while purel…
  pubmed Jin Z, Liu L, Yang Q, Jia X 等 2026 Feb 置信度 0.82
• Strategies for Embedding Prediction Models in Clinical Decision‑Making Workflows.
  Machine learning and statistical prediction tools proliferate across healthcare, yet the leap from development to sustained clinical impact remains elusive. This narrative review synthesizes empirical evidence on how prediction models have been embedded into r…
  pubmed Amusa T, Okunola D, Izinyon O, Alabi A 等 2026 Jan 置信度 0.82
• Rehabilitation Course Through Compassionate Use of JenaValve Trilogy Heart Valve System in a Patient With Left Ventricular Assist Device: A Case Study.
  Aortic insufficiency (AI) develops in approximately one-third of patients 3 years after continuous-flow left ventricular assist device (LVAD) implantation. Transcatheter aortic valve replacement (TAVR) has recently emerged as a potential option. However, the u…
  pubmed Eid K, Conti P, Robbins T 2026 Feb 10 置信度 0.82
• Genetic insights into radiomic and proteomic changes under β1-blockers treatment in hypertensive heart disease and hypertrophic cardiomyopathy.
  Hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) are characterized by left ventricular hypertrophy and diastolic dysfunction. Despite overlapping remodeling features, their distinct mechanisms and therapeutic responses remain unclear. Thi…
  pubmed Chen Z, Tang Y, Li S, Pan L 等 2026 Feb 9 置信度 0.82
• Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.
  The paramount challenge in precision oncology lies in further improving quality of life and response rates for individual patients. Efforts toward these goals are steadily expanding the scope of clinical implementation, despite ongoing challenges such as stand…
  pubmed Hamamoto R, Koyama T, Takahashi S, Yasuda T 等 2026 Feb 9 置信度 0.82
• Development of a controlled ex vivo human skin platform for quantitative evaluation of age-related functional biomarkers following application of topical treatments.
  Targeting cellular senescence presents a promising approach to slow visible skin aging and promote tissue repair. However, most preclinical models fail to capture the full architecture of human skin or accommodate diverse skin types, limiting their translation…
  pubmed Zhang XD, Atalla N, Rodriguez E, Teng C 等 2026 Feb 10 置信度 0.82
• Circuit-informed modulation of traumatic memory in PTSD: integrating extinction, suppression, and reconsolidation.
  Post-traumatic stress disorder (PTSD) persists when stress biases memory systems-broadening threat engrams, weakening context-appropriate inhibition, and rendering extinction fragile. Integrating preclinical and human evidence, we argue that these liabilities …
  pubmed Yi X, Zhang YB, Yu TZ, Yang X 等 2026 Jun 置信度 0.82
• Generative Artificial Intelligence for Medical Image Creation in Health Professions Education: a Scoping Review.
  Generative artificial intelligence (AI) can create synthetic medical images, enabling new educational applications, but current tools have not been systematically validated for educational fidelity, safety, or equity. This scoping review maps how generative AI…
  pubmed Gupta K, Latinovich MF, Latinovich MF, Singh K 等 2026 Feb 10 置信度 0.82
• Reconfigurable Dual-Terminal WSe(2)/h-BN p-n Photodetectors for In-Sensor Red-Green-Blue Convolution and Motion Detection.
  The growing demand for real-time, energy-efficient vision processing in autonomous systems, robotics, and edge AI applications has exposed critical limitations in conventional von Neumann architectures, where the physical separation of sensing, memory, and com…
  pubmed Dou C, Wang Y, Lu H, Sun R 等 2026 Feb 24 置信度 0.82
• Real-world evaluation of large language models in detecting drug-related problems: A clinical pharmacist-AI concordance study in hematology care.
  IntroductionLarge language models (LLMs) offer potential as clinical decision support systems (CDSS) for detecting drug-related problems (DRPs), yet their real-world performance compared to clinical pharmacists (CPs) remains unclear, especially in complex hema…
  pubmed Demirpolat E, Tuncel MS, Gurer F, Sanli NM 2026 Feb 9 置信度 0.82
• Generative Artificial Intelligence for Environmental Assessment: A New Paradigm for Sustainability Analysis.
  This study presents a comprehensive review of the emerging role of Generative Artificial Intelligence (GenAI) in environmental assessment and sustainability analysis. Positioned within a new paradigm of environmental management, GenAI redefines traditional sta…
  pubmed Rahman SM, Raihan A, Abudalfa S, Syed Masiur Rahman 等 2026 Feb 9 置信度 0.82 SustainabilityCitizen journalismEnvironmental governanceGenerative grammarComputer science
• Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review.
  Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) exemplify the diagnostic and long-term care complexity typical of rare diseases, and digital health technologies (DHTs), e…
  pubmed Spreafico AM, Neri L, Angel K, Bellettato CM 等 2026 Apr 2 置信度 0.82
• Leveraging AI-enabled learning health systems to advance value-based health care: A conceptual framework.
  Despite rapid innovation, health care systems face a persistent 17-year gap between evidence discovery and implementation, undermining efforts to deliver value-based care. Bridging this "know-do gap" is essential to improving outcomes and reducing waste. Exist…
  pubmed Ko DG, Tachinardi U, Warm EJ, Kissela BM 2026 Apr-Jun 01 置信度 0.82
• AI-RADS: A Framework for Assessment of Artificial Intelligence Output in Radiology-Development and Multireader Evaluation.
  Despite the growing number of artificial intelligence (AI)-based applications used in radiology, no structured framework exists to assess their case-level reliability or to document overridden outputs in reports.
  pubmed Russe MF, Fink A, Simon CP, Rau S 等 2026 Feb 9 置信度 0.82
• Gene-centered representation of coding and regulatory variation enables outcome prediction.
  Integrating coding and regulatory variation into unified, interpretable representations remains a challenge in functional genomics. Current approaches either focus on common variants or analyze individual variants in isolation, missing the cumulative, cell-typ…
  pubmed Sokolova K, Kristensen VN, Park CY, Theesfeld C 等 2026 Jan 29 置信度 0.82
• Advancing battery research through large language models: A review.
  Rechargeable batteries are pivotal for achieving carbon neutrality and enabling the renewable energy transition. Their advancement requires innovations at micro (materials), device (manufacturing), and system (control and optimization) levels. However, traditi…
  pubmed Chen J, Wang Y, Guo D, Liu Z 等 2026 Feb 2 置信度 0.82
• Streamlining urology cancer multidisciplinary team meetings: Implementation and outcomes.
  This work aimed to evaluate the implementation and impact of a pre-multidisciplinary team (MDT) triage model using Standards of Care (SoC) for streamlining in a urology cancer service.
  pubmed Arang H, Pratt A, Parappan MR, Syed MN 等 2026 Feb 置信度 0.82
• AI trust and protean career among university students: the mediating role of intrinsic motivation and the moderating role of job insecurity.
  Amid the growing integration of artificial intelligence (AI) into the labor market, university students have to develop career orientation that aligns with the constant state of technological change. Drawing on self-determination theory and conservation of res…
  pubmed Jiang J, Chen J 2025 置信度 0.82
• Artificial Intelligence-driven Detection, Mapping, and Personalized Therapy for Atrial Fibrillation.
  Atrial fibrillation (AF), the most common arrhythmia worldwide, affects approximately 59 million people globally. It poses a significant health burden by increasing morbidity and mortality. Artificial intelligence (AI) is emerging as a potentially transformati…
  pubmed Gonzalez DJ, Kambampati S, Godinez E, Paranjpe I 等 2026 Jan 置信度 0.82
• Lifestyle Medicine and Mitigating the Rising Cost of Healthcare.
  The United States continues to face rising healthcare costs, with Federally Qualified Health Centers (FQHCs) disproportionately affected by the complexity of the populations they serve. Traditional payment models often fail to reflect these realities, limiting…
  pubmed Bettini R, Sehgal V, Esquivel MK, Abraham AJ 2026 Feb 5 置信度 0.82
• [A multimodal disease-specific cohort for melanoma research: Construction, governance, and preliminary report].
  Given the high incidence, poor prognosis, and scarcity of high-quality multimodal research data for acral melanoma in the Chinese population, this study aims to build a representative multimodal disease-specific cohort to provide a high-quality data foundation…
  pubmed Xie D, Yuan Y, Zhao S, Zheng W 等 2025 Nov 28 置信度 0.82
• Artificial Intelligence in Public Health: Reimagining the Role of Primary Care.
  Artificial intelligence (AI) is becoming integral to public health by enabling more precise, proactive, and population-scale interventions. In this article, the authors describe the application of AI tools-particularly those using data from primary care settin…
  pubmed Bennett IM, Matyas B 2026 Mar 置信度 0.82
• Oxytocin and direct reciprocity in rats.
  Cooperation is an important dimension of social behavior in humans and animals. Reciprocal altruism provides an evolutionary basis for cooperation between unrelated organisms, but the neuroendocrine mechanisms driving these behaviors are not fully understood. …
  pubmed Tanchanco T, Wood RI 2026 May 1 置信度 0.82
• Artificial intelligence in medical ethics education: a descriptive study of eight models in multiple choice question generation.
  Integrating artificial intelligence (AI) into medical education poses barriers and opportunities for medical educators. One of those opportunities is content creation for medical ethics assessment. Assessing the performance of AI in generating multiple choice …
  pubmed Obeid J, Bobier C, Gillham A, Omelianchuk A 等 2026 Feb 7 置信度 0.82
• Part-level 3D shape generation driven by user intention inference with preferential Bayesian optimization.
  Advancements in generative artificial intelligence have introduced state-of-the-art models capable of producing impressive visual shape outputs. However, when it comes to supporting decisions during the three-dimensional shape creation process, prioritizing ou…
  pubmed Lee SW, Choi J, Hyun KH 2026 Feb 7 置信度 0.82
• Closing the loop: A systematic review of artificial intelligence in circular e-waste management.
  The proliferation of technological advancements, knitted with volatile consumption patterns and poor end-of-life management of discarded electronics, is currently outpacing sustainability transitions, putting increasing strain on finite material resources and …
  pubmed Jano T, Sayed AN, Hossen MM, Sardianos C 等 2026 Mar 15 置信度 0.82
• Structural and functional insights into CD3 bispecific antibodies targeting DLL3 in cancer immunotherapy.
  CD3 bispecific antibodies (BsAbs) targeting delta-like ligand 3 (DLL3) have emerged as promising candidates in cancer immunotherapy by enabling T-cell-mediated tumor lysis. A critical unmet need is to establish structural correlates of their preclinical activi…
  pubmed Chen S, Zhang G, He X, Li Y 等 2026 Feb 7 置信度 0.82
• Structure-Based Prediction of QT Prolongation Risk Using Graph Neural Networks: An Integrative Approach Combining In Vitro hERG Assays and Pharmacovigilance Data.
  Drug-induced QT-interval prolongation, a non-specific biomarker of increased risk for Torsades de Pointes (TdP), is a major safety concern in drug development. While in vitro hERG inhibition assays are required for early-phase screening, pharmacovigilance data…
  pubmed Enokiya T, Kunitomo R, Yamaguchi T 2026 Jun 置信度 0.82
• Circulating tumor DNA-guided early detection and minimal residual disease monitoring in pancreatic and biliary cancers: evidence, barriers, and opportunities.
  Pancreatic ductal adenocarcinoma (PDAC) and biliary tract cancers (BTCs) are characterized by dismal prognoses, largely because effective strategies for early detection are lacking and post-surgical relapse is common. Liquid biopsy—particularly circulat…
  pubmed Liu R, Yang Y, Hu Z, Fu Y 2026 Feb 6 置信度 0.82
• Use of AI within COA linguistic validation and eCOA migration processes: analysis and good practice recommendations.
  BACKGROUND: While there has been much discussion around the use of Artificial Intelligence (AI) for multilingual translations in other areas, recommendations pertaining specifically to the use of AI in the context of Clinical Outcome Assessment (COA) translati…
  pubmed McKown S, Arnold B, Boucher F, Correia H 等 2026 Feb 6 置信度 0.82
• MRI findings for differentiating benign and malignant soft tissue tumors: a systematic review-part 2: key imaging findings.
  To synthesize magnetic resonance imaging (MRI) features and their reported diagnostic performance that differentiate benign from malignant soft-tissue tumors in alignment with the 2020 World Health Organization classification.
  pubmed Wahid M, Sharma A, Rehman M, Ramachandran S 等 2026 Jun 置信度 0.82
• The missing link in FAIR data policy: biodata resources in life sciences.
  In the life sciences, FAIR principles have reshaped research policy, but their implementation still relies largely on individual researchers – many of whom lack the expertise or support needed to make data truly reusable. Realising FAIR’s promise…
  pubmed Poveda L, Farrell G, Tosatto SCE, Zahn-Zabal M 等 2026 Feb 6 置信度 0.82
• Technical accuracy of AI-based patient autopositioning in Computed Tomography: An evaluation with dose monitoring system data.
  Recent advancements in Artificial Intelligence (AI)-driven algorithms have improved patient alignment in Computed Tomography (CT) imaging. However, studies mainly focus on single scanners or specific body areas, indicating a need for broader evaluations. Our s…
  pubmed Biondi M, Bortoli E, Avitabile R, Bartoli A 等 2026 May-Jun 置信度 0.82
• Teaching artificial intelligence to future radiographers: Curriculum enhancement in a New Zealand radiography course.
  Artificial intelligence (AI) is increasingly transforming radiography practice, creating a need for radiography students to develop foundational AI literacy. While it is acknowledged that AI is gaining momentum in radiography education and training initiatives…
  pubmed Wang A, Pontre B, Mdletshe S 2026 Mar 置信度 0.82
• Uncertainty in deep learning for EEG under dataset shifts.
  As artificial intelligence (AI) is increasingly integrated into medical diagnostics, it is essential that predictive models provide not only accurate outputs but also reliable estimates of uncertainty. In clinical applications, where decisions have significant…
  pubmed Tveter M, Tveitstøl T, Hatlestad-Hall C, Hammer HL 等 2026 Apr 置信度 0.82
• Embracing a New Frontier: Generative AI in Nursing Education.
  This article explores the educational implications of incorporating generative artificial intelligence (AI) into a prelicensure baccalaureate nursing program, demonstrating how AI-enhanced resources can bridge gaps in nursing education and improve workflow eff…
  pubmed Hobbick SA, Shapiro SD, Shoemake D, Vizgirda J 2026 Feb 3 置信度 0.82
• Orthodontic derived microplastics impact macrophage differentiation and homeostasis.
  Synthetic polymers are widely used in medical and dental appliances, including clear aligners, retainers, splints, and sleep devices. Despite their widespread use, little is known about the release of microplastics from traditional thermoformed polymers compar…
  pubmed Warunek J, Warunek S, Calderon M, Franks J 等 2026 Feb 6 置信度 0.82
• Development of BERT-based large language models for emergency department triage using real-world conversations.
  Accurate triage in emergency departments (ED) is critical for appropriate resource allocation. While artificial intelligence (AI) has been explored for triage, prior models relied on summarized clinical scenarios. We aimed to develop and evaluate large languag…
  pubmed Lee S, Jung S, Park JH, Cho H 等 2026 Apr 1 置信度 0.82
• Sustainable PFAS Removal from Electronics Wastewater through a Cost-Health Trade-Off Framework.
  The rapid iteration of electronics and semiconductor technologies has brought convenience to daily life. However, the resulting large-scale production may pose health risks due to per- and polyfluoroalkyl substances (PFAS) emissions. Here, we present the first…
  pubmed Wang B, You F 2026 Feb 17 置信度 0.82
• From black box to clear box: explainable AI for next-gen pharmacovigilance.
  Pharmacovigilance (PV) plays a vital role in post-marketing surveillance of drug safety; however, traditional methods are hindered by underreporting, data heterogeneity, and delayed signal detection. Artificial Intelligence (AI) has been increasingly employed …
  pubmed Suryadevara N, Priya V, Sharma S 2026 Jul 置信度 0.82
• Efficacy of Ai Enabled Software in Automatic Segmentation for Orthognathic Surgery.
  The integration of artificial intelligence (AI) in orthognathic surgery has the potential to significantly enhance preoperative planning and postoperative evaluation by automating time-consuming tasks such as anatomical segmentation and alignment of imaging da…
  pubmed Claus JDP, Almeida MS, Lopes HJC, de Souza BB 2026 Feb 置信度 0.82
• Unifying phylogenetic traversal and deep learning to guide tree exploration.
  Deep learning offers hope for more efficient phylogenetic inference methods. However, it has yet to have the transformative effect on phylogenetics that it has had in other fields. Here we present a novel approach that combines deep learning with concepts behi…
  pubmed Collienne L, Richman H, Rich DH, Barker M 等 2026 Jan 14 置信度 0.82
• Spatially resolved transcriptome-metabolome integration reveals region-specific glial lipid dysregulation associated with Alzheimer's pathology.
  Glial cells maintain the brain's lipid and energy balance, and their breakdown is increasingly recognized as a causal contributor to Alzheimer's disease (AD). While this concept is established, no approach has directly shown how glial homeostatic failure manif…
  pubmed Xu L, Yang H, Leon J, Li X 等 2026 Jan 24 置信度 0.82
• Rethinking structural safety for a volatile century.
  Most structural design frameworks remain rooted in outdated assumptions: that hazards occur in isolation, materials do not degrade, and failure can be prevented through overdesign. In an era marked by accelerating climate volatility, cascading disasters, and m…
  pubmed Xu G, Guo T, Li AQ 2026 Jan 置信度 0.82
• Comparative Performance of agentic AI and Physicians in Taking Clinical History across Leading Large Language Models (LLMs).
  Comprehensive clinical history taking is essential for high-quality care. We hypothesized that large language models (LLMs), guided by a structured agentic framework, can efficiently obtain clinically meaningful patient histories. We developed an iterative pro…
  pubmed Steinbuch S, de Vos-Hillebrand L, O'Neill-Dee C, Wu I 等 2026 Jan 25 置信度 0.82
• Digital Biomarkers for Precision Early Detection of Lung Cancer: Integrating AI-Driven Multi-Omics Into Clinical Pathways.
  Lung cancer remains the leading cause of cancer-related mortality worldwide, highlighting the urgent need for earlier detection within real-world screening and patient management pathways. Recent advances in multi-omics technologies have created new opportunit…
  pubmed Bu F, Ling ZQ 2026 Feb 置信度 0.82
• Large reasoning models are autonomous jailbreak agents.
  Jailbreaking - bypassing built-in safety mechanisms in AI models - has traditionally required complex technical procedures or specialized human expertise. In this study, we show that the persuasive capabilities of large reasoning models (LRMs) simplify and sca…
  pubmed Hagendorff T, Derner E, Oliver N 2026 Feb 5 置信度 0.82
• Leveraging multi-modal foundation models for analysing spatial multi-omic and histopathology data.
  Recent advances in pathology foundation models, pre-trained on large-scale histopathology images, have greatly advanced disease-focused applications. At the same time, spatial multi-omic technologies now measure gene and protein expression with high spatial re…
  pubmed Liu T, Huang T, Ding T, Wu H 等 2026 Aug 置信度 0.82
• Artificial intelligence and machine learning in neurodegenerative disease management: A 21st century paradigm.
  Neurodegenerative diseases represent a major and growing clinical challenge due to their progressive nature, biological heterogeneity, and limited therapeutic options. Recent advances in artificial intelligence (AI) have introduced new analytical strategies fo…
  pubmed Basha S, Ks P, Chattopadhyay A, Pai AR 等 2026 Mar 置信度 0.82
• Large Language Models and Otolaryngology: A Review.
  Large language models (LLMs), a rapidly advancing domain of artificial intelligence (AI), are poised to transform administrative, clinical, and research paradigms. Although adoption across medicine has accelerated, otolaryngology represents only a fraction of …
  pubmed Bao JW, Jawad MN, Pavelchek C, Powell WJB 等 2026 Apr 1 置信度 0.82
• Plant-Protein Fortification of Cereal Foods: Market Insights and Nutritional Implications for the Dietary Exposome.
  Plant proteins can meet dietary needs when properly combined, but individuals who avoid legumes, tofu, or tempeh may struggle to maintain adequate protein intake. Some may turn to ultraprocessed foods, reducing their intake of fiber-rich, micronutrient-dense p…
  pubmed Parle F, Martinez MM, Roman L 2026 Apr 置信度 0.82
• ChatGPT and DeepSeek in Dermatologic Practice: Do Artificial Intelligence Models Adhere to Psoriasis Treatment Guidelines?
  The integration of artificial intelligence (AI), particularly large language models (LLMs), into healthcare has rapidly expanded. In dermatology, machine learning is increasingly employed for diagnosis, prognosis, and treatment planning. However, the reliabili…
  pubmed Demet AN, Kaynak E, Ahmet M 2026 Feb 1 置信度 0.82
• Harnessing artificial intelligence in gastroenterology and hepatology: Current applications and future perspectives.
  Artificial intelligence (AI) has made remarkable strides, becoming an essential tool in modern medicine. As AI continues to evolve, it is crucial to redefine its scope, classifications, and subtypes to better align with its clinical applications and potential.…
  pubmed Boutos P, Karakasi KE, Katsanos G, Antoniadis N 等 2026 Jan 27 置信度 0.82
• Embedding ethics up front in AI and robotics: evidence from future engineers.
  As artificial intelligence and robotics increasingly shape societies, ensuring that these technologies align with ethical and societal values is a pressing challenge. This paper presents survey findings from 98 MSc Robotics and Applied AI students at Cranfield…
  pubmed Oostveen AM, Eimontaite I 2026 置信度 0.82
• VsNsbench: evaluating AlphaFold3-embed induced-fit mechanism for enhanced virtual screening.
  While AlphaFold3 (AF3) extends AlphaFold2 (AF2) by predicting holo structures, it remains unclear whether its modeling process captures similar induced-fit mechanisms. In this study, we benchmarked the VS performance of ligand-induced AF3 holo structures on tw…
  pubmed Gu SK, Shen C, Yang YW, Zhai SL 等 2026 Jun 置信度 0.82
• Sustainable and interpretable heart disease prediction: a clinical decision support approach for biomedical healthcare applications.
  Cardiovascular disorders cause approximately 18 million deaths annually worldwide, underscoring the urgent need for precise and rapid diagnosis. Conventional machine learning does not automate feature extraction and does not capture complex non-linear relation…
  pubmed Kehkashan T, Abdelhaq M, Al-Shamayleh AS, Riaz RA 等 2026 Feb 4 置信度 0.82
• Text-image alignment for ILD imaging: linking CXR evidence to CT quantification.
  Assessment of Interstitial Lung Disease (ILD) relies on chest radiographs (CXR) for screening and computed tomography (CT) for definitive quantification. However, current AI pipelines typically treat these modalities in isolation, leading to report hallucinati…
  pubmed Gao J, Ren Y, Yang F, Hu X 等 2026 Feb 4 置信度 0.82
• XGeM: A multi-prompt foundation model for multimodal medical data generation.
  The adoption of Artificial Intelligence in medical imaging holds great promise, yet it remains hindered by challenges such as data scarcity, privacy concerns, and the need for robust multimodal integration. While recent advances in generative modeling have ena…
  pubmed Molino D, Di Feola F, Faiella E, Fazzini D 等 2026 Feb 置信度 0.82
• Patients' Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study.
  Artificial intelligence (AI) is being rapidly integrated into oncologic care, yet little is known about how patients perceive these applications. Understanding patient perceptions is critical to ensuring AI applications align with their needs and preferences.
  pubmed Santos Teles M, Bryl K, Chimonas S, Khan A 等 2026 Feb 4 置信度 0.82
• Visual security defense for industrial inspection based on computer vision.
  As intelligent manufacturing advances, computer vision-based defect detection systems have become essential components of industrial automation. However, this progress has also revealed new security vulnerabilities. In this work, we identify and examine a stea…
  pubmed Jiang Z, Yuan H, Zeng C, Fu L 2026 置信度 0.82
• SDXL model-based optimization for interior design: Data-driven and deep learning methods.
  This study proposes a novel, domain-specific optimization framework for the Stable Diffusion XL (SDXL) model, addressing the critical challenges of structural consistency and aesthetic fidelity in AI-assisted interior design. Unlike generic applications of dif…
  pubmed Zhou X, Kim S, Chen Y 2026 置信度 0.82
• Explainable AI reveals temporal risk pathways in fall prediction: Extracting clinical insights from multi-horizon machine learning models.
  Falls are a leading cause of injury in older adults, making risk prediction a clinical priority. While many machine learning (ML) models exist, they typically provide a static assessment, predicting risk for a single, fixed timeframe. This approach overlooks h…
  pubmed Khani M, Friedland DR, Widlansky M, Harris MS 等 2026 Feb 4 置信度 0.82
• Exploring Artificial Intelligence in Hospice and Palliative Care: An Integrative Review of Technological and Clinical Approaches.
  Artificial intelligence (AI) is transforming health care by enhancing diagnostics, improving patient outcomes, and reducing administrative burdens through advanced algorithms, with applications in medical imaging, virtual care, and automated data analysis. How…
  pubmed Xu T, Liu C, Li L, Song D 等 2026 Feb 4 置信度 0.82
• Teaching MRI to Read the Report: Text-Image Alignment for Brain MRI at Scale.
  pubmed Ghodasara S 2026 Mar 置信度 0.82
• Using Artificial Intelligence in Test Construction: A Practical Guide.
  Artificial Intelligence (AI) is increasingly used to enhance traditional assessment practices by improving efficiency, reducing costs, and enabling greater scalability. However, its use has largely been confined to large corporations, with limited uptake by re…
  pubmed Suárez-Álvarez J, He Q, Guenole N, D'Urso D 2026 Feb 置信度 0.82
• Building health system resilience in Romania: a consensus on policy priorities.
  Romania's healthcare system struggles with the EU's highest rates of treatable and preventable mortality and the lowest per capita health expenditure. Critical issues include unsustainable financing, an entrenched physician-centered model lacking institutional…
  pubmed Blidaru TC, Forray AI, Garofil D, Mezinu-Bălan L 等 2025 Dec 置信度 0.82
• The Nugent score is an inappropriate diagnostic tool for neovaginal bacteria in transfeminine people.
  Many transfeminine people (assigned male at birth with feminine gender identities) undergo vaginoplasty, a surgical procedure constructing a neovagina, typically using penile and scrotal tissue. In cisgender females, gynecological symptoms (pain, discharge, ma…
  pubmed Parmar R, Monari B, Potter E, Rojas-Vargas J 等 2026 Feb 3 置信度 0.82
• Towards accurate and interpretable competency-based assessment: enhancing clinical competency assessment through multimodal AI and anomaly detection.
  Artificial Intelligence (AI) is reshaping medical education, particularly in the domain of competency-based assessment, where current methods remain subjective and resource-intensive. We introduce a multimodal AI framework that integrates video, audio, and pat…
  pubmed Gershov S, Mahameed F, Raz A, Laufer S 2026 Feb 3 置信度 0.82
• Advanced natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA.
  This work introduces, LLaMAntino-3-ANITA-8B-Inst-DPO-ITA, a Large Language Model (LLM) adapted for the Italian language based on the Meta-AI LLaMA-3 model family. The original 8B parameter instruction-tuned model is first fine-tuned using the Supervised Fine-t…
  pubmed Polignano M, Basile P, Semeraro G 2026 Feb 3 置信度 0.82
• Evaluation of an Artificial Intelligence Conversational Chatbot to Enhance HIV Preexposure Prophylaxis Uptake: Development and Usability Internal Testing.
  The HIV epidemic in the United States disproportionately impacts gay, bisexual, and other men who have sex with men (MSM). Despite the effectiveness of HIV preexposure prophylaxis (PrEP) in preventing HIV acquisition, uptake among MSM remains suboptimal. Motiv…
  pubmed Tao J, Pavlick E, Grondin A, Bustamante JD 等 2026 Feb 3 置信度 0.82
• Multi-scale structural similarity embedding search across entire proteomes.
  The rapid expansion of three-dimensional (3D) biomolecular structure information, driven by breakthroughs in artificial intelligence/deep learning (AI/DL)-based structure predictions, has created an urgent need for scalable and efficient structure similarity s…
  pubmed Segura J, Sanchez-Garcia R, Bittrich S, Rose Y 等 2026 Feb 28 置信度 0.82
• Automated Detection of Cervical Spinal Cord Compression on MRI Using YOLO11 Deep Learning Architecture: A Two-Center External Validation Study.
  A retrospective two-center external validation study was conducted at two medical centers, collecting cervical spine MRI data from patients suspected of degenerative cervical myelopathy (DCM) between March 2022 and August 2024, forming a consecutive series wit…
  pubmed Du Q, Kong W, Chang Y, Xin Z 等 2026 May 1 置信度 0.82
• Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction.
  Chronic kidney disease (CKD) remains one of the costliest conditions in healthcare, yet value-based payment (VBP) reforms have produced limited improvements in cost or quality. Existing renal payment models rely on annual benchmarks that fail to reflect the lo…
  pubmed Baughman DJ, Nagy P, Parikh CR 2026 May 1 置信度 0.82
• Evaluating ChatGPT-5.0 in developmental dysplasia of the hip: A scenario-based validation study against AAOS and AAP guidelines.
  Developmental dysplasia of the hip (DDH) requires timely, guideline-concordant decisions to prevent long-term morbidity. ChatGPT-5.0 may support clinicians-especially where pediatric orthopedic expertise is limited, but their reliability across typical and dis…
  pubmed Kozlu S, Görgün B, Öner SK 2026 Apr 置信度 0.82
• K-MIMIC: a nationwide Korean multi-institutional Multimodal intensive care dataset.
  Recent advancements in critical care have highlighted the need for comprehensive, multimodal datasets to support clinical decision-making and advancing artificial intelligence (AI) research. However, such datasets are scarce in Asia. We developed the Korean Mu…
  pubmed Kim YG, Shin J, Won SM, Lee SM 等 2026 Feb 3 置信度 0.82
• Implementation of AI systems in the clinical laboratory: insights from an expert survey and recommendations for best practice.
  Despite growing interest in artificial intelligence (AI) and machine learning (ML), many laboratory professionals lack experience with developing in-house AI systems or implementing those supplied by external providers. The IFCC Committee on AI in Laboratory M…
  pubmed Yang HS, Çubukçu HC, Del Ben F, Duan X 等 2026 Jun 24 置信度 0.82
• Neuroimmune Mechanisms and Emerging Intervention Strategies for Post-Stroke Fatigue: A Narrative Review.
  Post-stroke fatigue is a prevalent sequela of stroke that substantially impairs patients' quality of life and rehabilitation progress, yet its mechanisms and management remain heterogeneous. This narrative review synthesizes current evidence on neuroimmune pat…
  pubmed Hu Z, Sun Q, Jin X, Zhuang J 等 2026 Feb 3 置信度 0.82
• Benchmark evaluation of deepseek AI models in antibacterial clinical decision-making for infectious diseases.
  Antimicrobial resistance (AMR) poses a global threat to public health, though AI models have shown transformative potential in combating AMR. China's DeepSeek, a novel open-source, low-cost, and locally deployable AI model, is increasingly integrated into clin…
  pubmed Zhang L, Pan Y, Lai W, Liang Z 等 2026 Feb 2 置信度 0.82
• Artificial intelligence agent for delirium screening among patients in oncology and cardiac intensive care units: a proof-of-concept study.
  This study aims to develop and initially test an autonomous artificial intelligence (AI) agent to support nurse-led delirium screening and guideline-concordant prevention and management.
  pubmed Zeng Y, Xie H, Gu F, Chen J 等 2026 Jul 16 置信度 0.82
• Biotechnology advances and the parasitology paradigm: From genomes to multi-omics and translation.
  Parasitic diseases impose a substantial and often underestimated burden on human and animal health, food security and economic development. Over recent decades, advances in biotechnology have expanded parasitology into a genomics-enabled field. Early progress …
  pubmed Gasser RB 2026 Jul-Aug 置信度 0.82