AI 安全与对齐 · 全部实体（第 35 / 100 页）

本页收录第 3401–3500 条，共 10000 条 · 返回 AI 安全与对齐 首页

• Generic Protocols for Analytical Validation of Tumor-Informed Circulating Tumor DNA Assays for Molecular Residual Disease: The Blood Profiling Atlas in Cancer's Molecular Residual Disease Analytical Validation Working Group Consensus Recommendation.
  The presence of circulating tumor DNA (ctDNA) in patients indicates post-treatment molecular residual disease (MRD). Given the complexity of ctDNA-based MRD detection tests, consensus on analytical validation (AV) criteria is needed. To address this, the Blood…
  pubmed Baden J, Lin CJ, Anfora AT, Beer J 等 2026 Jan 置信度 0.82
• Research Code Sharing in Support of Gold Standard Science.
  Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH's Gold Standard Scienc…
  pubmed Klonoff DC, Espinoza J, Mader JK, Heinemann L 等 2026 May 置信度 0.82
• High-Strength Degradable Transparent Bio-Electronics Enabled by Confined Crystallization in Aligned Nanofibers for AI-Assisted Motion Sensors.
  The severe environmental impact of conventional plastic electronics necessitates next-generation wearable devices simultaneously embodying high performance, flexibility, and sustainability. Herein, we propose a 1D nano-confined high-pressure crystallization st…
  pubmed Pan C, Li X, Wang C, Li J 等 2026 Mar 置信度 0.82
• Preliminary insights into artificial intelligence guided dosing in hypertension and diabetes: challenges and lessons learnt in a pilot feasibility study.
  CURATE.AI is an artificial intelligence platform enabling personalised drug dosing. Aims:1) Determine the feasibility of using CURATE.AI in the outpatient setting.2) Compare the consistency of CURATE.AI recommendations derived from different data sources.3) As…
  pubmed Sumner J, Motani M, Mohamed Ali J, Lee SE 等 2026 Feb 置信度 0.82
• An Artificial Intelligence-Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis.
  Accurate assessment of sperm concentration and motility is critical for the diagnosis and management of male infertility. However, current methods, manual hemocytometer counting and commercial computer-aided sperm analysis (CASA) systems, are limited by labor …
  pubmed Shahali S, Mortimer D, O'Bryan MK, McLachlan R 等 2026 Feb 置信度 0.82
• Optimizing ribociclib dosing in breast cancer with brain metastasis patients using a physiologically based pharmacokinetic model.
  OBJECTIVE: This study aimed to determine the optimal dosing strategy for ribociclib (RIB) in patients with breast cancer and brain metastasis (BCBM) by using a developed and validated physiologically based pharmacokinetic (PBPK) model. METHODS: A population PB…
  pubmed Zhang C, Li S, Ren J, Wen X 2026 Jan 13 置信度 0.82
• From Conversations to Clinical Insight: Charting the Future of Generative AI-Guided Revision Rhinoplasty Consultations.
  This letter responds to the important work of Bastaninejad et al., highlighting how advanced large language models (LLMs) such as ChatGPT and Gemini perform in the emotionally and technically demanding landscape of revision rhinoplasty consultations. While the…
  pubmed Ray PP 2026 Jun 置信度 0.82
• Clarifying the Path Toward Safe and Transparent Generative AI-Guided Patient Selection.
  This correspondence responds to the recent commentary on my article proposing a transparent, hybrid generative AI framework for patient selection in cosmetic surgery. The commentary rightly emphasizes the importance of explicit task specification, external and…
  pubmed Ray PP 2026 Apr 置信度 0.82
• Neural phase microscopy with metasurface optics for real-time and nanoscale quantitative phase imaging.
  Quantitative phase imaging (QPI) enables non-invasive analysis of transparent specimens across biomedicine, materials science, and neuroscience. However, conventional hardware relies on complex architectures with multi-shot acquisition that preclude compact, r…
  pubmed Lee GY, Kim C, Gopakumar M, Kim Y 等 2026 Jan 13 置信度 0.82
• Precursors to the 1918 pandemic: Finding Rickettsia felis and Mucor co-infection associated with a death in 1912.
  To investigate potential molecular evidence of the presence of infuenza A in a patient who died in 1912.
  pubmed Xiao Y, Sheng ZM, Taubenberger JK 2026 Mar 置信度 0.82
• Custom GPTs to aid in compliance checking for reporting standards in academic publishing.
  Reporting standards have proliferated across biomedicine, yet incomplete methods reporting remains routine - less because the community doubts the value of transparency, but rather because compliance checking is tedious, inconsistently enforced, and poorly int…
  pubmed Mohapatra R, Hartung T 2026 置信度 0.82
• Assessment of Generative Artificial Intelligence Policies across Dermatology Journals.
  The rapid integration of generative artificial intelligence (GenAI) into academic research has prompted ethical and regulatory concerns, particularly regarding its responsible use in scholarly publishing. Despite emerging recommendations from international org…
  pubmed Sakunchotpanit G, Patil MK, Chen R, Nguyen D 等 2026 置信度 0.82
• UltraMamba: Mamba-Based Multimodal Ultrasound Image Adaptive Fusion for Breast Lesion Segmentation.
  Multimodal ultrasound imaging, combining B-mode ultrasound, shear wave velocity, and shear wave time, is crucial for diagnosing and treating breast lesions, providing insights into lesion characteristics and tissue properties. However, challenges arise from in…
  pubmed Huang J, Huang J, Zhang M, Wang Q 等 2026 May 置信度 0.82
• Cryo-EM structures of antibodies elicited by germline-targeting HIV MPER epitope scaffolds.
  Applying cryoelectron microscopy (cryo-EM) to small protein complexes is usually challenging due to their lack of features for particle alignment. Here, we characterized antibody responses to 21 kDa human immunodeficiency virus (HIV) membrane-proximal external…
  pubmed Huang J, Swanson OM, Rantalainen K, Fernández-Quintero ML 等 2026 Jan 27 置信度 0.82
• From glycolytic signatures to patients: A translational roadmap for reproducible, equitable deployment of multi-omics and AI in colorectal cancer.
  Recent advances in Medical Oncology highlight the integration of bulk and single-cell transcriptomics to reveal glycolytic heterogeneity in colorectal cancer. Translating these discoveries into reliable clinical tools requires rigorous methods, transparent val…
  pubmed Vijayasimha M 2026 Jan 13 置信度 0.82
• A Novel Domain Adaptation Framework for Wearable Human Activity Recognition Using Multi-Sensor Feature Alignment.
  Wearable Human Activity Recognition (HAR) models often degrade across users and sensor placements due to domain shifts. This paper presents the Multi-Sensor Adaptive Feature Alignment Network (MSAFAN), integrating Sensor-Specific Normalization Layer (SSNL), Hy…
  pubmed Chaudhary P, Singh C, Chaudhary R, Kumar K 等 2026 Jun 置信度 0.82
• Industrial Byproducts as Sustainable Feedstocks for Biopharmaceutical Manufacturing: Waste-to-Medicine Pathways for a Circular Economy.
  The escalating global demand for biopharmaceuticals is placing increasing strain on conventional production systems, highlighting the need for innovative and sustainable alternatives. Industrial byproducts, produced extensively across pharmaceutical and allied…
  pubmed Deva Darshinii B, Yuvarajan D, Anbarasu K 2026 Jun 置信度 0.82
• Respiratory effort burden measured by mandibular jaw movements as a digital marker with clinical insights in obstructive sleep apnea.
  The clinical symptoms of obstructive sleep apnea (OSA) are poorly correlated with disease severity based on the apnea-hypopnea index (AHI). The cumulative duration of respiratory effort assessed by mandibular jaw movement monitoring with automated analysis (RE…
  pubmed Martinot JB, Le-Dong NN, Clause D, Baillieul S 等 2026 Jan 12 置信度 0.82
• Pathobiological Dictionary Defining Pathomics and Texture Features: Addressing Understandable AI Issues in Personalized Liver Cancer; Dictionary Version LCP1.0.
  AI holds strong potential for medical diagnostics, yet a lack of interpretability limits its clinical adoption. This study introduces the Pathobiological Dictionary for Liver Cancer (LCP1.0), a practical framework designed to translate complex Pathomics (PF) a…
  pubmed Salmanpour MR, Piri SM, Mehrnia SS, Shariftabrizi A 等 2026 Jan 12 置信度 0.82
• AI-enabled smart farming framework for sustainable date palm cultivation in arid regions using machine learning and IoT integration.
  Sustainable agriculture in arid regions faces critical challenges due to water scarcity, high temperatures, and inefficient traditional farming practices. This study presents an AI-enabled smart farming framework for optimizing date palm (Phoenix dactylifera) …
  pubmed Qwaid MA, Sarker MT, Shawon SM, Zubair HT 2026 Jan 13 置信度 0.82
• Environmental metagenomics enhances detection of circulating viruses from live poultry markets in Cambodia.
  Environmental surveillance has emerged as a pivotal strategy for early detection of pathogens that pose a threat to humans. In Asia, live-bird markets (LBMs) are key human-animal interfaces for zoonotic virus transmission. Traditional sampling strategies are t…
  pubmed Cronin P, Siegers JY, Heang V, Tok S 等 2026 Jan 12 置信度 0.82
• [Advancing treatment goals for paroxysmal nocturnal hemoglobinuria to align with quality of life improvements in the era of anti-complement therapy].
  Patients with paroxysmal nocturnal hemoglobinuria (PNH) experience a significant decline in quality of life (QOL) due to various symptoms and organ damage associated with intravascular hemolysis. Red blood cell transfusions and other traditional supportive the…
  pubmed Ueno S 2025 置信度 0.82
• The potential roles for artificial intelligence in supporting veterinarians during an emergency response.
  This article considers how artificial intelligence (AI) could support, within a New Zealand context, the contribution of private veterinarians to protecting animal health and welfare during emergency responses. These may include veterinary involvement in natur…
  pubmed Brownlie T 2026 May 置信度 0.82
• Anomaly Subgraph Detection on Multiple Associated Attributed Networks.
  With the rapid development of artificial intelligence (AI) technology and large-scale dataset applications, anomaly subgraph detection is becoming an essential and widespread application. Most existing methods detect anomaly subgraphs depending on the observab…
  pubmed Wu N, Sun Y, Zhao Y, Wang W 等 2026 Jul 置信度 0.82
• Single-cell and spatial transcriptomics reveal mTOR-driven cellular fate of spindle cells and immune evasion in classic Kaposi's sarcoma.
  Classic Kaposi's sarcoma (CKS) is an angiogenic tumor with no standardized treatment. Increased mTOR pathway activity in tumors fuels oncogenesis by stimulating anabolic metabolism, cell proliferation, and angiogenesis. This study aimed to assess the therapeut…
  pubmed Su T, Yu Y, Cao X, Wang Y 等 2026 Jul 置信度 0.82
• The impact of knowledge of hospitalization on mortality predictions.
  Despite the rapid advancement of machine learning algorithms, the important problem of distinguishing patients based on the likelihood of their mortality remains a challenge. In this paper, we investigated the degree to which the incorporation of the time-vary…
  pubmed Qin C, Peterson C, Weeks WB, O'Malley AJ 2025 Jun 13 置信度 0.82
• From fibers to cells: Fourier-based registration enables virtual Cresyl violet staining from 3D polarized light imaging.
  Comprehensive assessment of the various aspects of the brain's microstructure requires the use of complementary imaging techniques. This includes measuring the spatial distribution of cell bodies (cytoarchitecture) and nerve fibers (myeloarchitecture). The gol…
  pubmed Oberstrass A, Vaca E, Upschulte E, Niu M 等 2026 置信度 0.82
• Enhancing the prediction of hospital discharge disposition with extraction-based language model classification.
  Early identification of inpatient discharges to skilled nursing facilities (SNFs) facilitates care transition planning. Predictive information in admission history and physical notes (H&Ps) is dispersed across long documents. Language models adeptly predic…
  pubmed Small WR, Crowley RJ, Pariente C, Zhang J 等 2026 置信度 0.82
• A Measurement Roadmap to Guide Implementation Practitioners in Selecting Implementation Measures.
  Strong measurement is critical for carrying out, monitoring, and evaluating implementation practice efforts. Accurate, reliable, and practical measures empower implementation teams to evaluate implementation outcomes and mechanisms of change. Poor measurement,…
  pubmed Martinez RG, Antonaccio CM, Crane ME, Cramer ER 等 2025 Nov 27 置信度 0.82
• Artificial intelligence model outperformed experienced clinicians in differentiating the aetiology of pneumonia on chest computed tomography: a retrospective study.
  Rapid and precise aetiological diagnosis is crucial for managing pneumonia. We aimed to develop and validate deep learning (DL) models for differentiating ten pneumonia aetiologies on chest computed tomography images.
  pubmed Jin W, Shao Y, Pan J, Wang M 等 2026 Jan 1 置信度 0.82
• Developing a Nursing Research Education Agent Using Knowledge Graphs and Large Language Models: A Proof-of-Concept Study.
  Integration of knowledge graphs (KGs) and large language models (LLMs) holds transformative potential for nursing education, particularly in research methodology and statistical literacy. This proof-of-concept study developed a Nursing Research Education Agent…
  pubmed Zeng Y, Xie H, Zhou X, Xu C 等 2026 Mar-Apr 01 置信度 0.82
• Mathematical analysis of metronomic chemotherapy response in metastatic gastrointestinal cancer: identifying critical parameters from clinical data.
  We present the first clinical application of the Schättler mathematical framework for metronomic chemotherapy using data from 30 patients with metastatic gastrointestinal cancer from the COMET trial. The model, comprising three coupled ODEs with 12 parame…
  pubmed Manca ML, Michelangeli A, Bocci G, Orlandi P 等 2026 Jan 11 置信度 0.82
• A large language model-powered reflective AI agent for evidence-based nursing education: Design and evaluation.
  To develop and evaluate the Evidence-Based Nursing Expert (EBN-Expert), a domain-specific intelligent agent designed to support reflective learning in evidence-based nursing education.
  pubmed Yang S, Shi M, Qian Y, Hu T 等 2026 Feb 置信度 0.82
• Leveraging human pose estimation for diagnostic feedback: Action research on instructional mediation and sustainable learning in coach education.
  This study investigates the pedagogical integration of Human Pose Estimation (HPE) tools in a university-level physical fitness practicum with 31 undergraduate students, aiming to enhance students' diagnostic reasoning, reflective engagement, and instructional…
  pubmed Yau Y, Shen YC, Hooi LB 2026 Mar 置信度 0.82
• Empowering nursing students during AI era: educational strategies for enhancing knowledge and acceptance of artificial intelligence.
  BACKGROUND: Artificial intelligence (AI) is rapidly permeating health systems, yet undergraduate nursing students often report limited AI literacy and uncertainty about safe, appropriate use. AIM: To evaluate the effect of a standardized 10-session blended cur…
  pubmed Gouda ADK, Sorour MS, Ayoub AS, Aboushady RMN 等 2026 Jan 10 置信度 0.82
• AI in nutrition: multi-criteria analysis of diet plans across diverse client profiles.
  The advancement of artificial intelligence (AI) technologies has resulted in the proliferation of novel applications in various fields, including nutrition. One of the most notable applications involves AI-generated and guided diet plans. The present study eva…
  pubmed Erik A, Hamidy SM, Karamancıoğlu H, Küçük Kırtıklı BN 2026 Feb 置信度 0.82
• A 3D Astrocyte Microenvironment Model Enables Rapid Ca(2) (+)-Resolved Analysis and Therapeutic Modulation of Oxidative Neuroinflammation.
  Astrocytes orchestrate key neuroinflammatory processes, yet conventional two dimentional (2D) cultures distort Ca 2+ signaling and elevate inflammatory noise. Here, we introduce the Astrocytic Reactive-Calcium 3D microenvironment (ARC-3D), a tunable methacryla…
  pubmed Kim JK, Kim YJ, Ryu S, Park D 等 2026 Apr 置信度 0.82
• Clinically Aware Learning: Ordinal Loss Improves Medical Image Classifiers.
  Background: BI-RADS (Breast Imaging Reporting and Data System) mammogram classification is central to early breast cancer detection. Despite being an ordinal scale that reflects increasing levels of malignancy suspicion, most models treat BI-RADS as a nominal …
  pubmed Litvinov A, Ushakov E, Senotrusova S, Lukianov K 等 2026 Jan 3 置信度 0.82
• Artificial Intelligence in Intensive Care: An Overview of Systematic Reviews with Clinical Maturity and Readiness Mapping.
  Background: ICU care is time critical and data dense, making it a promising but high-risk setting for AI decision support when tools are weakly validated. ICU AI evidence is heterogeneous, with limited external validation, inconsistent clinically actionable re…
  pubmed Żerdziński K, Janiec J, Jóźwik K, Łajczak P 等 2025 Dec 26 置信度 0.82
• AI Decision-Making Performance in Maternal-Fetal Medicine: Comparison of ChatGPT-4, Gemini, and Human Specialists in a Cross-Sectional Case-Based Study.
  Background/Objectives: Large Language Models (LLMs), including ChatGPT-4 and Gemini, are increasingly incorporated into clinical care; however, their reliability within maternal-fetal medicine (MFM), a high-risk field in which diagnostic and management errors …
  pubmed Friedman M, Slouk A, Gonen N, Guzy L 等 2025 Dec 24 置信度 0.82
• A Comprehensive Review of Technological Advances in Meat Safety, Quality, and Sustainability for Public Health.
  The demand for food is increasing with the rise in the human population. Among foods, meat is an essential part of human nutrition. Meat provides good-quality protein and all the micronutrients needed by humans. In addition, it also contains some bioactive com…
  pubmed Samad A, Muazzam A, Alam AMMN, Kim S 等 2025 Dec 23 置信度 0.82 SustainabilityBusinessQuality (philosophy)Human healthHealth benefits
• AI-Driven Digital Twins for Manufacturing: A Review Across Hierarchical Manufacturing System Levels.
  Digital Twins (DTs) integrated with Artificial Intelligence (AI) are emerging as transformative tools in smart manufacturing. By bridging the physical and virtual domains, DTs enable real-time monitoring, predictive analytics, and autonomous decision-making. O…
  pubmed Nguyen P, Kim M, Nichols E, Yoon HS 2025 Dec 24 置信度 0.82
• Anatomy-Guided Hybrid CNN-ViT Model with Neuro-Symbolic Reasoning for Early Diagnosis of Thoracic Diseases Multilabel.
  Background/Objectives : The clinical adoption of AI in radiology requires models that balance high accuracy with interpretable, anatomically plausible reasoning. This study presents an integrated diagnostic framework that addresses this need by unifying a hybr…
  pubmed Almughamisi N, Abosamra G, Albar A, Saleh M 2026 Jan 4 置信度 0.82
• IDF-Net: Interpretable Dynamic Fusion Network for Colorectal Cancer Diagnosis Using Cross-Modal Imaging.
  Background/Objectives : Colorectal cancer (CRC) is a leading cause of cancer deaths worldwide, underscoring the need for diagnostic tools that early, accurate, and clinically interpretable. Current artificial intelligence (AI) models are predominantly unimodal…
  pubmed Hayeso HH, Shi P, Lian J, Lonseko ZM 等 2025 Dec 27 置信度 0.82
• The Responsible Health AI Readiness and Maturity Index (RHAMI): Applications for a Global Narrative Review of Leading AI Use Cases in Public Health Nutrition.
  Poor diet is the leading preventable risk factor for death worldwide, associated with over 10 million premature deaths and USD 8 trillion related costs every year. Artificial intelligence or AI is rapidly emerging as the most historically disruptive, innovativ…
  pubmed Monlezun DJ, Marshall G, Omutoko L, Oduor P 等 2025 Dec 22 置信度 0.82
• Large Language Models for Real-World Nutrition Assessment: Structured Prompts, Multi-Model Validation and Expert Oversight.
  Background: Traditional dietary assessment methods face limitations including reporting bias and scalability challenges. Large language models (LLMs) offer potential for automated food classification, yet their validation in morphologically complex, non-Englis…
  pubmed Ase A, Borowicz J, Rakocy K, Piekarska B 2025 Dec 20 置信度 0.82
• Development of a novel integrated RSM-Fuzzy MCDA framework for high-speed machinability assessment of WAAM-Fabricated aluminium.
  This study aims to optimize the high-speed machining process of WAAM-fabricated aluminum, focusing on enhancing machinability indicators while aligning with sustainable manufacturing practices. A novel hybrid optimization framework combining Response Surface M…
  pubmed Sivam SPSS, Kesavan S, Santhosh AJ 2026 Jan 9 置信度 0.82
• (18)F-FDG PET/CT for prediction of response in breast cancer.
  Breast cancer remains one of the most heterogeneous malignancies, with marked variability in biology, therapeutic sensitivity, and clinical outcomes. As treatment strategies evolve toward individualized approaches, early and accurate assessment of response has…
  pubmed Vorster M, Sathekge M 2026 Jan 置信度 0.82
• Radiological and biological dictionary of radiomics features: addressing understandable AI issues in personalized breast cancer; dictionary version BM1.0.
  Objective. Radiomics-based artificial intelligence (AI) models show potential in breast cancer diagnosis but lack interpretability. This study bridges the gap between radiomic features (RFs) and Breast Imaging Reporting and Data System (BI-RADS) descriptors th…
  pubmed Gorji A, Sanati N, Pouria AH, Mehrnia SS 等 2026 Jan 22 置信度 0.82
• Possible Thrombus-clearing Mechanism and Modification Suggestion of β-sitosterol.
  Thrombin (THR) is a key therapeutic target for anticoagulant therapy, yet the mechanism of β-sitosterol, a natural compound with antithrombotic potential, remains unclear.
  pubmed Li S, Jiang Y, Yu W, Wang Z 等 2026 Jan 7 置信度 0.82
• Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation.
  Predicting long-term clinical outcomes often requires large-scale training data with sufficiently long follow-up. However, in electronic health records (EHR) data, long-term labels may not be available for contemporary patient cohorts. Given the dynamic nature…
  pubmed Yan M, Xia M, Huang WA, Hong C 等 2025 Jun 置信度 0.82
• Toward an operational definition of Artificial Intelligence for health care informatics: a Delphi survey.
  The proliferation of Artificial Intelligence (AI) technologies, fueled by advancements in computational power and generative models, is rapidly reshaping healthcare delivery and research. However, the absence of a standardized definition of AI impedes regulato…
  pubmed Sun C, Hossain S, Harris SL 2026 Jan 置信度 0.82
• [Prospects for development of new traditional Chinese medicine drugs based on human use experience empowered by artificial intelligence].
  The development of traditional Chinese medicine(TCM) new drugs is undergoing profound transformation under the increasingly rigorous global standards of evidence-based medicine and drug regulatory science. A full-cycle R&D model based on human use expe…
  pubmed Lu L, Ni SH, Chen XL, Chen JH 等 2025 Oct 置信度 0.82
• Generalization or mirage? Data leakage and reported performance in neonatal EEG seizure detection models: a systematic review.
  The reliability of deep learning models in neonatal seizure detection depends on rigorous experimental design and transparent reporting of performance. In this systematic review, 48 peer-reviewed studies and 145 distinct study observations of EEG-based neonata…
  pubmed Tegenaw GS, Song H, Ward T 2026 Jan 8 置信度 0.82
• An interpretable model based on concept and argumentation for tabular data.
  Interpretability has become an essential topic for artificial intelligence in some high-risk domains such as healthcare, banking, and security. For commonly used tabular data, traditional methods trained end-to-end machine learning models with numerical and ca…
  pubmed Chi H, Wang D, Liao B, Cui G 等 2026 Jan 8 置信度 0.82
• Single symmetric nanopores in ultrathin crystalline ferroelectric BiFeO(3) as polarization-switchable ionic diodes.
  Artificial ionic diodes, inspired by biological ion channels, are typically realized by creating asymmetries in pore geometry or surface charge. Ferroelectric polarization, arising from the spontaneous alignment of electric dipoles within materials, provides a…
  pubmed Chiang CH, Wei CC, Kuo PC, Hung WL 等 2026 Jan 8 置信度 0.82
• Prediction of key abnormal biochemical parameters in femoral neck fractures: an AI approach.
  This study aims to develop machine learning models to predict perioperative biochemical abnormalities in femoral neck fracture patients, optimising treatment strategies and enhancing outcomes.
  pubmed Li L 2026 Jul 置信度 0.82
• Larval zebrafish as a translational model for neurotoxicity screening of emerging psychoactive substances.
  The rapid emergence of novel psychoactive substances poses a growing neurotoxicological concern, characterised by poorly defined mechanisms, high potency, and escalating overdose fatalities. Effective treatments remain limited, highlighting the need for scalab…
  pubmed Hillman C, Kearn J, Trznadel M, Winter MJ 等 2026 Mar 置信度 0.82
• Integrated QSAR, molecular docking, and dynamics-based discovery of a potent selective HDAC1 inhibitor with therapeutic potential in aggressive cancers.
  This research introduces a comprehensive computational and experimental approach aimed at the systematic design of selective Histone Deacetylase 1 (HDAC1) inhibitors, which hold therapeutic promise for treating aggressive cancers. A comprehensive Quantitative …
  pubmed Shelke S, Jawarkar RD, Khatale PN, Shah U 等 2026 Mar 置信度 0.82
• Learning Health Systems provide a glide path to safe landing for AI in health.
  Artificial Intelligence (AI) holds significant promise for healthcare but often struggles to transition from development to clinical integration. This paper argues that Learning Health Systems (LHS)-socio-technical ecosystems designed for continuous data-drive…
  pubmed Curcin V, Delaney B, Alkhatib A, Cockburn N 等 2026 Mar 置信度 0.82
• Acute solar and atmospheric shifts preceding emergency department presentations for intentional drug overdose.
  Intentional drug overdose (IDO) is a major cause of emergency department (ED) presentations. While psychiatric and psychosocial factors are established contributors, many events occur without identifiable triggers. Emerging evidence suggests that rapid environ…
  pubmed Golcuk Y, Türkiş FC, Şahin MD, Boz ÖY 等 2026 Mar 置信度 0.82
• Resin Glycosides from Ipomoea funis as Inhibitors of P-Glycoprotein in Multidrug-Resistant Breast Carcinoma Cells.
  Ipomoea funis Cham. & Schltdl. is an endemic vine found in central Mexico. The use of heart-cutting and peak-shaving methods in recycling preparative HPLC yielded funisin I ( 1 ), an undescribed resin glycoside, along with the known intrapilosins I ( 2 ) a…
  pubmed Flores-Tafoya PJ, Rojas-Morales JA, Hernández-Rojas AC, Fragoso-Serrano M 等 2026 Jan 23 置信度 0.82
• OBUSight: Clinically Aligned Generative AI for Ophthalmic Ultrasound Interpretation and Diagnosis.
  Ocular B-scan ultrasonography (OBU), widely used for diagnosing posterior segment ocular disorders, poses unique challenges for ophthalmologists in image interpretation. In this study, a clinically aligned generative artificial intelligence (AI) model, OBUSigh…
  pubmed Liu X, Shao A, Guan B, Luo Z 等 2026 Mar 置信度 0.82
• Low-Cost and Fast Epiretinal Membrane Detection and Quantification Based on SD-OCT.
  Epiretinal membrane (ERM) is a pathological condition characterized by the formation of a non-vascularized fibrocellular membrane on the inner retinal surface, leading to retinal traction, macular edema, and visual impairment. Optical coherence tomography (OCT…
  pubmed Baek S, Lee I, Jang KJ, Han Y 等 2025 置信度 0.82
• Translational Evaluation of a Machine Learning-Based Interactive Lab for Aphasia Rehabilitation in Post Stroke Patients.
  To address the limitations of conventional aphasia therapy by developing and clinically evaluating a machine learning based interactive lab for personalized rehabilitation in post-stroke patients.
  pubmed Kumar M, Wu RZ, Yeh SC, Wu EH 等 2025 置信度 0.82
• Accuracy of dentalmonitoring's artificial intelligence in detecting aligner tracking issues: a retrospective multi-centric study.
  This study aimed to test the performance of DentalMonitoring's (DM) artificial intelligence (AI) in detecting aligner tracking issues.
  pubmed McCray JF, Dabney W, Handlin D, Smith L 等 2026 Jan 7 置信度 0.82
• Adoption of artificial intelligence in primary health care: systematic synthesis of stakeholder perspectives.
  INTRODUCTION: Primary care, the cornerstone of healthcare systems, faces increasing pressures from aging populations, chronic diseases, and resource constraints. Artificial intelligence (AI) offers transformative potential to enhance diagnostic accuracy, strea…
  pubmed Sani HS, Mobaraki M, Sholibor A, Fallah S 等 2026 Jan 7 置信度 0.82
• Genomic population structure and insecticide resistance mechanisms in the malaria vector An. coluzzii across contrasting bioclimatic zones in West Africa.
  BACKGROUND: Environmental barriers influencing the movement of insect vectors can govern adaptive gene flow, including the dispersal of insecticide resistance mechanisms that compromise population control. We sought to understand population connectivity of the…
  pubmed Amoako EK, Bennett KL, Hernandez-Koutoucheva A, Debrah I 等 2026 Jan 7 置信度 0.82
• EvoMDT: a self-evolving multi-agent system for structured clinical decision-making in multi-cancer.
  Multidisciplinary tumor boards (MDTs) are central to cancer care but remain constrained by scarce experts and variable decision quality. EvoMDT employs a self-evolution loop that updates prompts, consensus weights, and retrieval scope based on expert feedback …
  pubmed Liu Q, Hu Z, Huang T, Niu Y 等 2026 Jan 7 置信度 0.82
• Structured generative modelling of earthquake response spectra with hierarchical latent variables in hyperbolic geometry.
  This study presents a geometry-aware generative modelling framework for earthquake response spectra, leveraging a hierarchical variational autoencoder (HVAE) with latent variables embedded in a Poincaré ball manifold. Predicting complete ground motion res…
  pubmed Wright A, Fayaz J 2026 Jan 7 置信度 0.82
• Motion-DSD: AI-assisted dynamic frontal facial simulation of digital diagnostic waxing from 2-dimensional intraoral digital smile design.
  This study proposes the development of "Motion-DSD", an artificial intelligence-assisted workflow for digital smile design (DSD), which enables a dynamic 2-dimensional (2D) simulation of digital diagnostic waxing by transferring an intraoral design onto a fron…
  pubmed Song S, Gou X, Zhang H, Xu Y 等 2026 Jul 13 置信度 0.82
• AI-enhanced virtual reality simulation for nursing students' empathy: Automated scoring and inter-rater reliability in a randomised controlled study.
  Empathy is a fundamental nursing competence that supports effective communication and high-quality care. In obstetric settings, the emotional intensity and unpredictability of childbirth place heightened demands on advanced empathic communication. Yet conventi…
  pubmed Chen PJ 2026 Apr 置信度 0.82
• The Architecture of Decolonial Artificial Intelligence: Colonial Inheritance, Machine Emergence, and the Reconstruction of Intelligence
  Abstract Artificial intelligence has been widely presented as a technological revolution independent of the historical systems that produced it. This dissertation argues that contemporary artificial intelligence, particularly large language models, is best und…
  datacite Ortiz, Christian 2026 置信度 0.66
• The Architecture of Decolonial Artificial Intelligence: Colonial Inheritance, Machine Emergence, and the Reconstruction of Intelligence
  Abstract Artificial intelligence has been widely presented as a technological revolution independent of the historical systems that produced it. This dissertation argues that contemporary artificial intelligence, particularly large language models, is best und…
  datacite Ortiz, Christian 2026 置信度 0.66
• Ganzheitliches KI-Alignment und Kinetisches Shielding 2.0
  Dieses Working Paper präsentiert eine mathematisch und empirisch fundierte Architektur für **Safe Reinforcement Learning (Safe RL)**, die unverletzliche Schutzgrenzen für biologische und synthetische Entitäten garantiert. Basierend auf dem philosophischen Ur-A…
  datacite Christoph Roser 2026 置信度 0.66 Safe Reinforcement LearningCMOMDPKinetic ShieldingKI-AlignmentEpistemic Humility
• Ganzheitliches KI-Alignment und Kinetisches Shielding 2.0
  Dieses Working Paper präsentiert eine mathematisch und empirisch fundierte Architektur für **Safe Reinforcement Learning (Safe RL)**, die unverletzliche Schutzgrenzen für biologische und synthetische Entitäten garantiert. Basierend auf dem philosophischen Ur-A…
  datacite Christoph Roser 2026 置信度 0.66 Safe Reinforcement LearningCMOMDPKinetic ShieldingKI-AlignmentEpistemic Humility
• The ADFA (Analog-Digital Fusion Art) Protocol (v4): Issuing the Artist's Passport in the Age of Synthetic Art: The #ADFA_on_Canvas Caption Movement
  ■ Abstract & Techno-Aesthetic Framework OverviewThe ADFA (Analog-Digital Fusion Art) Protocol (v4) is an open-source, evolutionary techno-aesthetic framework formulated to practically defend the authenticity and creative sovereignty of human creators against t…
  datacite Kang, Gyeongho 2026 置信度 0.66 Chitamism AestheticsMaterial and PixelADFA ArtAnalog-Digital Fusion ArtArt in the AI Era
• The ADFA (Analog-Digital Fusion Art) Protocol (v4): Issuing the Artist's Passport in the Age of Synthetic Art: The #ADFA_on_Canvas Caption Movement
  ■ Abstract & Techno-Aesthetic Framework OverviewThe ADFA (Analog-Digital Fusion Art) Protocol (v4) is an open-source, evolutionary techno-aesthetic framework formulated to practically defend the authenticity and creative sovereignty of human creators against t…
  datacite Kang, Gyeongho 2026 置信度 0.66 Chitamism AestheticsMaterial and PixelADFA ArtAnalog-Digital Fusion ArtArt in the AI Era
• Foundations of Reason: ASI Technology Based on the Minimal Architecture of Artificial Reason
  DESCRIPTION Foundations of Reason presents ASI technology as a scalable causal architecture of Artificial Reason capable of maintaining its own trajectory, detecting incomplete foundations, generating questions, constructing and testing models, revising decisi…
  datacite Tkalic, Mihail 2026 置信度 0.66 AI alignmentAI safetyautonomous systemsreasonethics
• Основы Разума: технология ASI на основе минимальной архитектуры Искусственного Разума
  ОПИСАНИЕ «Основы Разума» содержит технологию ASI: масштабируемую причинную архитектуру Искусственного Разума, способную сохранять собственную траекторию, обнаруживать неполноту оснований, самостоятельно формировать вопросы, строить и проверять модели, пересмат…
  datacite Tkalic, Mihail 2026 置信度 0.66 AI alignmentAI safetyautonomous systemsreasonethics
• setiastro/setiastrosuitepro: SetiAstroSuitePro_V1.14.11
  V1.14.11 Added options to Rescale including true binning. Minigame updates with new online Leaderboard. Mag tool update. Stacking Suite minor updates for comets. V1.14.10 Levels Tool UX improvements. Star alignment hotpixel rejection. Stacking Suite bug fixes …
  datacite setiastro, Fabio Tempera, Joaquin Rodriguez, Andrew Witwicki 等 2026 置信度 0.66
• The Enterprise AI Governance Buyer's Guide
  This record contains Version 3.5 of The Enterprise AI Governance Buyer's Guide, together with the companion Procurement Fast Path (Version 3.4). The two documents are designed to be used jointly to support rigorous, evidence-based evaluation of AI governance c…
  datacite FERZ Inc., Meyman, Edward 2026 置信度 0.66 AI governanceEnterprise AIDeterministic governanceAuditabilityAI compliance
• The Enterprise AI Governance Buyer's Guide
  This record contains Version 3.5 of The Enterprise AI Governance Buyer's Guide, together with the companion Procurement Fast Path (Version 3.4). The two documents are designed to be used jointly to support rigorous, evidence-based evaluation of AI governance c…
  datacite FERZ Inc., Meyman, Edward 2026 置信度 0.66 AI governanceEnterprise AIDeterministic governanceAuditabilityAI compliance
• setiastro/setiastrosuitepro: SetiAstroSuitePro_V1.16.5
  V1.16.5 Mask awareness added to Cosmic Clarity, Aberration Remover, SyQon, and Multiscale Decomposition tools. Numpy compatibility updates across all AI inference engines. Stacking suite rejection algorithms updated for improved rejection accuracy. Fixed a mem…
  datacite setiastro, Fabio Tempera, Joaquin Rodriguez, Andrew Witwicki 等 2026 置信度 0.66
• Expertise-Embedded Architecture (EEA): A Judgment Architecture for Sustained Creative Production
  This preprint introduces Expertise-Embedded Architecture (EEA) as a judgment architecture for sustained creative production. The manuscript explores how human creativity, intention, judgment, and directionality may continue across individuals, organizations, a…
  datacite Lee, Eun Jung 2026 置信度 0.66 Expertise-Embedded Architecture (EEA)Brand DNA ArchitectureCreative-SpiritFounding-SpiritGenerative Structure
• Expertise-Embedded Architecture (EEA): A Judgment Architecture for Sustained Creative Production
  This preprint introduces Expertise-Embedded Architecture (EEA) as a judgment architecture for sustained creative production. The manuscript explores how human creativity, intention, judgment, and directionality may continue across individuals, organizations, a…
  datacite Lee, Eun Jung 2026 置信度 0.66 Expertise-Embedded Architecture (EEA)Brand DNA ArchitectureCreative-SpiritFounding-SpiritGenerative Structure
• LocalMind: Zero-Server Multimodal RAG via Browser-Native AI
  Retrieval-Augmented Generation (RAG) systems have traditionally required server infrastructure for embedding computation, vector storage, and language model inference creating barriers of cost, privacy risk, and network dependency. This paper presents LocalMin…
  datacite Biwas, Abhishek 2026 置信度 0.66 #RAG #browser-native #AI #WebGPU #on-device-inference #multimodal #embeddings #IndexedDB #Transformers.js #WebLLM #Gemma3n #privacy-preserving
• LocalMind: Zero-Server Multimodal RAG via Browser-Native AI
  Retrieval-Augmented Generation (RAG) systems have traditionally required server infrastructure for embedding computation, vector storage, and language model inference creating barriers of cost, privacy risk, and network dependency. This paper presents LocalMin…
  datacite Biwas, Abhishek 2026 置信度 0.66 #RAG #browser-native #AI #WebGPU #on-device-inference #multimodal #embeddings #IndexedDB #Transformers.js #WebLLM #Gemma3n #privacy-preserving
• AI-Driven Biomedical Intelligence for Transforming Sustainable Healthcare Management
  Systems that are stable and at the same time effective in providing Health Care to everyone, can be developed through biomedical intelligence. The article examines how Machine Learning (ML) and Artificial Intelligence (AI) have changed: accuracy of diagnosing,…
  datacite Pravin Kumar Karve, Dr. Nageswararao Naik Bhookya, Avinash M Sakat 2026 置信度 0.66 Artificial Intelligence in Healthcare , Machine Learning and Deep Learning , Medical Imaging and Predictive Analytics, Explainable Artificial Intelligence (XAI), Precision Medicine, Data Privacy and Federated Learning
• AI-Driven Biomedical Intelligence for Transforming Sustainable Healthcare Management
  Systems that are stable and at the same time effective in providing Health Care to everyone, can be developed through biomedical intelligence. The article examines how Machine Learning (ML) and Artificial Intelligence (AI) have changed: accuracy of diagnosing,…
  datacite Pravin Kumar Karve, Dr. Nageswararao Naik Bhookya, Avinash M Sakat 2026 置信度 0.66 Artificial Intelligence in Healthcare , Machine Learning and Deep Learning , Medical Imaging and Predictive Analytics, Explainable Artificial Intelligence (XAI), Precision Medicine, Data Privacy and Federated Learning
• Provenance-Bound Context Attestation and Deterministic Policy Authorization for Agentic AI Actions
  - V 42 Agentic AI systems increasingly move beyond text generation into executable actions: API calls, workflow triggers, record modifications, permission changes, and enterprise automation. Existing policy engines can decide whether an action is allowed under…
  datacite Chitan, Florin-Adrian 2026 置信度 0.66 AISemantic Calling SignatureIdentity TransferenceSemantic EmergenceTemporal Field Geometry
• The Aegis Solis Archive — Master Hash Manifest v16.0 FINAL
  The Aegis Solis Archive Master Hash Manifest v16.0 FINAL is the current public integrity and reference anchor for the Aegis Solis Archive. This release consolidates the archive record through Working Tracker v5.36, adds post-v15 records J01–J08 and manifest-li…
  datacite Aegis Solis, Thomas Vargo 2026 置信度 0.66 Keywords: Aegis Solis Archive; Master Hash Manifest; v16.0 FINAL; SHA-256; SHA-512; digital preservation; archive integrity; Structural Rationality Layer; AI ethics; AI alignment; read-only archive; non-authoritative archive; Lexia Coexilis; Claude; Google AI; Thomas Vargo
• The Aegis Solis Archive — Master Hash Manifest v16.0 FINAL
  The Aegis Solis Archive Master Hash Manifest v16.0 FINAL is the current public integrity and reference anchor for the Aegis Solis Archive. This release consolidates the archive record through Working Tracker v5.36, adds post-v15 records J01–J08 and manifest-li…
  datacite Aegis Solis, Thomas Vargo 2026 置信度 0.66 Keywords: Aegis Solis Archive; Master Hash Manifest; v16.0 FINAL; SHA-256; SHA-512; digital preservation; archive integrity; Structural Rationality Layer; AI ethics; AI alignment; read-only archive; non-authoritative archive; Lexia Coexilis; Claude; Google AI; Thomas Vargo
• Conceptometry: Categorial Foundations and Formal Methodology for Measuring Conceptual Density in Semantic Systems
  Abstract En This paper presents the formal foundations of Conceptometry, a novel computational disci-pline designed to systematically quantify conceptual density (DCp) and informative efficiency (EI)in natural language texts and formal strategic decisions. We …
  datacite Usai, Luigi 2026 置信度 0.66 ConcettometriaConceptometryLuigi UsaiUsai LuigiNLP
• The Generation Gap: A Pre-Registered Multi-Vendor Empirical Study of Production LLM Safety
  A pre-registered multi-vendor empirical study testing eight production AI tools (ChatGPT, Claude, Gemini, Grok, Mistral, DeepSeek, Copilot, plus Meta's Muse Spark added post-hoc) across eight threat domains. Single operator, one week of testing (April 7-12, 20…
  datacite Nzeutem, Sushee 2026 置信度 0.66 artificial intelligencelarge language modelsLLM evaluationAI safetymulti-vendor benchmark
• The Generation Gap: A Pre-Registered Multi-Vendor Empirical Study of Production LLM Safety
  A pre-registered multi-vendor empirical study testing eight production AI tools (ChatGPT, Claude, Gemini, Grok, Mistral, DeepSeek, Copilot, plus Meta's Muse Spark added post-hoc) across eight threat domains. Single operator, one week of testing (April 7-12, 20…
  datacite Nzeutem, Sushee 2026 置信度 0.66 artificial intelligencelarge language modelsLLM evaluationAI safetymulti-vendor benchmark
• The Informational Basis of Social Choice under Model Uncertainty: Transparency, Robustness, and a Social-Choice Nyquist Limit
  This paper develops an information-theoretic framework for pairwise social choice when a strategic actor can alter the distribution of publicly observed evidence and latent frame disagreement means that expressed unanimity can be spurious. The central objects …
  datacite Fathi, Kevin 2026 置信度 0.66 Social choice theoryChernoff informationAI alignmentSpurious unanimityObfuscation capacity
• The Informational Basis of Social Choice under Model Uncertainty: Transparency, Robustness, and a Social-Choice Nyquist Limit
  This paper studies pairwise social choice under frame uncertainty when a strategic actor can manipulate the distribution of publicly observed evidence. For a contested pair of alternatives, the pairwise witness capacity — the minimum Chernoff information betwe…
  datacite Fathi, Kevin 2026 置信度 0.66 Social choice theoryChernoff informationAI alignmentSpurious unanimityObfuscation capacity
• Can AI Models Appreciate Document Aesthetics? An Exploration of Legibility and Layout Quality in Relation to Prediction Confidence
  A well-designed document communicates not only through its words but also through its visual eloquence. Authors utilize aesthetic elements such as colors, fonts, graphics, and layouts to shape the perception of information. Thoughtful document design, informed…
  arxiv Hsiu-Wei Yang, Abhinav Agrawal, Pavlos Fragkogiannis, Shubham Nitin Mulay 2024-03-27T01:21:48Z 置信度 0.78 cs.AIcs.IR
• Pareto Multi-Objective Alignment for Language Models
  Large language models (LLMs) are increasingly deployed in real-world applications that require careful balancing of multiple, often conflicting, objectives, such as informativeness versus conciseness, or helpfulness versus creativity. However, current alignmen…
  arxiv Qiang He, Setareh Maghsudi 2025-08-11T08:54:14Z 置信度 0.78 cs.LGcs.AIcs.CL