PubMed AI 固定订阅页

《Establishing Clinically Significant Change Benchmarks for the Moral Injury Outcome Scale in VA Behavioral Health Settings.》〔评测 / 方法〕：This study aimed to establish benchmarks for clinically significant change for the Mo…

1. Establishing Clinically Significant Change Benchmarks for the Moral Injury Outcome Scale in VA Behavioral Health Settings. · Score 102
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2. Generalist large language models in a specialized world: Evidence from the Italian national medical education pathway. · Score 90
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3. Standardization of clinical trials subject ID schematics: A portfolio-wide model to enhance data integrity and regulatory compliance. · Score 81
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4. Considerations about the proliferation of large language model chatbots and youth mental health. · Score 80
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5. The application of large language models in meteorology graduate research: current status, impact, and prospects. · Score 72
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《Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models.》〔数据 / 应用 / 方法〕：Prompt learning has emerged as one of the most effective paradigms for adapting pre-trained vision language models (VLMs) to…

1. Biomed-DPT: Dual Modality Prompt Tuning for Biomedical Vision-Language Models. · Score 93
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2. Clinical Knowledge-Guided PET/CT Lesion Segmentation with Interpretable Fusion of Metabolic and Structural Cues. · Score 93
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3. Accelerating real-world data collection using large language models in rare neoplasms: a bone sarcoma example. · Score 81
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4. GATE: Graph and Text Exchange for Zero-Shot ECG Classification with LLM Prompts. · Score 71
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5. Learning from Prototypes: Contrastive Learning with Prior-Aware Multi-Label Chest X-ray Classification. · Score 71
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《Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports.》〔评测 / 应用 / 方法〕：OBJECTIVES: Coronary computed tomography angiography (CCTA) has become…

1. Comparative evaluation of large language models for generating CAD-RADS 2.0-compliant diagnostic conclusions in cardiac CT reports. · Score 87
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2. Immune checkpoint inhibitors in POLE/POLD1 proofreading-deficient CRC: from molecular basis to clinical practice and future directions. · Score 81
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3. Establishing procedure-specific minimal clinically important difference and patient acceptable symptom state thresholds after anterior combined latissimus dorsi and teres major tendon transfer for irreparable anterosuperior cuff tears: minimum 5-year outcomes. · Score 81
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4. Diagnostic Modalities and Nodal Staging in High-Risk Cutaneous Squamous Cell Carcinoma. · Score 65
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5. Defining the learning curve of multi-vessel MIDCAB using CUSUM analysis. · Score 62
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《Classifying American Society of Anesthesiologists Physical Status With a Low-Rank-Adapted Large Language Model: Development and Validation Study.》〔评测 / 应用 / 方法〕：BACKGROUND: The American Society of Anesthesiologists Phy…

1. Classifying American Society of Anesthesiologists Physical Status With a Low-Rank-Adapted Large Language Model: Development and Validation Study. · Score 111
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2. Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study. · Score 109
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3. Clinical Model Autophagy: The Risk of Interpretative Drift in Recursive Medical AI. · Score 93
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4. APSevLM: Acute Pancreatitis Severity Language Model. · Score 90
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5. Comparing Clinical Outcomes in Cardiac Surgical Patients Who Receive Sugammadex Versus Placebo: A Prospective Randomized Blinded Controlled Trial. · Score 88
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《Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific knowledge graph: a prospective evaluation in 3804 patients.》〔评测 / 数据 / 应用 / 方法〕：BACKGROUND: Clinical trial e…

1. Transforming oncology clinical trial matching through neuro-symbolic, multi-agent AI and an oncology-specific knowledge graph: a prospective evaluation in 3804 patients. · Score 101
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2. Developing and evaluating definitions of real-world clinical endpoints for patients with early-stage triple-negative breast cancer using a United States of America secondary database. · Score 83
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3. Investigating fine-tuning versus zero-shot learning for general large language models when predicting cancer survival from initial oncology consultation documents. · Score 83
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4. A Comparative Evaluation of Three Large Language Models for Parent-Centered Questions About Anorexia Nervosa. · Score 83
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5. Impacts of Multidisciplinary Lung Cancer Meeting Presentation in a Clinical Quality Registry. · Score 66
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《Medic Training at Military-Civilian Partnerships-A Narrative Review.》〔评测 / 应用 / 方法〕：INTRODUCTION: Military-Civilian Partnerships (MCP) were developed to mitigate degradation of combat medical readiness during peacetime…

1. Medic Training at Military-Civilian Partnerships-A Narrative Review. · Score 62
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《Pretraining effective T5 generative models for clinical and biomedical applications.》〔评测 / 数据 / 应用 / 方法〕：This paper presents a study of the impact of corpus selection and vocabulary design on the performance of T5-base…

1. Pretraining effective T5 generative models for clinical and biomedical applications. · Score 108
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2. MILU: a consensus ensemble benchmark for multimodal medical imaging lecture understanding. · Score 82
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3. Comparative performance of large language models and Drugs.com versus Lexicomp for antiseizure medication drug-drug interactions: A cross-sectional study with iterative prompting analysis. · Score 82
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4. Weakly Supervised Composed Object Re-Identification With Large Models. · Score 68
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5. An explainable multi-head attention network for healthcare IoT threat detection based on the MedDefender-MHAN framework. · Score 68
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《Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review.》〔评测 / 数据 / 应用 / 方法〕：OBJECTIVES: Patients with rare diseases often face…

1. Applying natural language processing and large language models to clinical notes for phenotyping and diagnosing rare diseases: a systematic review. · Score 113
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2. Evaluation of large language models with clinical guidance for vetting outpatient magnetic resonance imaging lumbar spine referrals. · Score 107
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3. From Image to Pixels: towards Fine-Grained Medical Vision-Language Models. · Score 106
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4. Targeted use of large language models for EHR-based computable phenotyping. · Score 93
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5. Dual perspectives on large language models in rheumatology: physician-rated quality and patient-centered usability of GPT-4o versus DeepSeek-V3. · Score 85
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《Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation.》〔评测 / 数据 / 应用 / 方法〕：BACKGROUND: Accu…

1. Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation. · Score 107
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2. PKFAR: psychiatry knowledge-fused augmented reasoning with large language models. · Score 98
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3. Fact-Checking Large Language Model Responses to a Health Care Prompt: Comparative Study. · Score 91
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4. Fine-Tuned Large Language Models for Automated Radiology Impression Generation: A Multicenter Evaluation. · Score 86
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5. A Multi-AI Agent Framework for Interactive Neurosurgical Education and Evaluation: From Vignettes to Virtual Conversations. · Score 76
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《VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model.》〔评测 / 数据 / 方法〕：The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving general artifi…

1. VLBiasBench: A Comprehensive Benchmark for Evaluating Bias in Large Vision-Language Model. · Score 111
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2. Multimodal large language models in brain tumor imaging: clinical applications and future perspectives. · Score 109
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3. Bridging the Modality Gap in Medical Vision-Language Models: A Hybrid Contrastive-Optimal Transport Framework for Enhanced Cross-Modal Alignment. · Score 107
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4. User Experience and Early Clinical Outcomes of a Mental Wellness Chatbot for Depression and Anxiety: Pilot Evaluation Mixed Methods Study. · Score 93
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5. Comparison of AI-based Chatbot Performance in Analyzing Clinical Scenarios versus Medical Residents: A Novel Approach in Chest Diseases Education. · Score 82
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《Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study.》〔评测 / 应用 / 方法〕：BACKGROUND: Translation of medical consulta…

1. Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: Quantitative Pilot Feasibility Study. · Score 107
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2. Toward Sustainable Clinical Analysis: Benchmarking Plastic Use in LC-MS Sample Preparation - Exemplified by Ketamine Analogues in Whole Blood. · Score 107
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3. Text4Seg++: Advancing Image Segmentation via Generative Language Modeling. · Score 89
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4. Diversity in clinical Trials: The example of systemic lupus erythematosus. · Score 82
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5. Comparative Performance of Gemini 3 Pro and GPT-5 Family Models on Ophthalmology Board-Style Questions. · Score 78
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《Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks.》〔数据 / 方法〕：We report on the integration of three methods that predict, on a proteome-wide scale, whet…

1. Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks. · Score 48
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《Factors influencing large language model adoption among dental students: a cross-sectional study.》〔应用 / 方法〕：This research evaluates the factors influencing the behavioural intention (BI) to adopt large language models…

1. Evaluating the clinical decision-making performance of large language models in clinically oriented thoracic anatomy scenarios: a comparative evaluation study. · Score 104
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2. Exploratory study of large language models in surgical decision-making for lumbar disc herniation: a multicenter analysis based on multisource clinical information. · Score 104
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3. A hybrid large language model framework for structured data entry from code-switched persian clinical speech. · Score 104
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4. Factors influencing large language model adoption among dental students: a cross-sectional study. · Score 88
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《Subcategory vs category fluency: Items and networks in healthy young adults and simulation with a large language model.》〔评测 / 应用 / 方法〕：Category fluency tasks involve producing words constrained by a semantic field (ani…

1. Subcategory vs category fluency: Items and networks in healthy young adults and simulation with a large language model.
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2. Sequence Display enables large-scale sequence-activity datasets for rapid protein evolution.
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3. ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks.
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4. Advancing neurotech justice in youth digital mental health: insights from an interdisciplinary and cross-generational workshop.
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5. A guide to using embedded ethics in human stem-cell-based embryo model research.
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