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• Automated classification of dental implant brands and prosthetic platform sizes on panoramic radiographs using deep learning.
  Incomplete clinical records can be a significant hurdle in implant dentistry, transforming routine maintenance or a restorative task into a complex search. When the primary documentation-such as the implant passport or surgical report-is missing, the clinician…
  pubmed Mesterházi M, Balogh J, Takács A, Faragó J 等 2026 Jul 28 置信度 0.82
• Regularized Joint Reconstruction and Slab Combination for Accelerated Three-Dimensional Multi-Slab Diffusion-Weighted Imaging Using Multi-Scale Energy Models.
  To jointly reconstruct high-resolution diffusion-weighted volumes and eliminate slab-boundary artifacts while preserving fine anatomical detail from undersampled 3D multi-slab k-space acquisitions.
  pubmed Ghorbani R, Rikhab Chand J, Lee CY, Jacob M 等 2026 Nov 置信度 0.82
• A Multimodal Machine Learning Model for Framingham Risk Score-Based Cardiovascular Risk Stratification in Patients With Obstructive Sleep Apnea.
  Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score-based cardiovascu…
  pubmed Zhao F, Li Y, Li C, Xu H 等 2026 Jul 28 置信度 0.82
• Academic Trajectories of Latin American Female Researchers in the Field of Physical Activity and Health.
  Women remain underrepresented in academic leadership globally, particularly in health fields. In Latin America, limited funding, centralized research systems, and institutional inequities further restrict women's advancement. In physical activity and health re…
  pubmed Ramírez Varela A, Mejía-Grueso J, Bandeira PFR, Singh UP 等 2026 Jul 28 置信度 0.82
• Artificial Intelligence-Assisted Risk Stratification in Stage II Colorectal Cancer: Multi-Institutional Validation of Semantically Enhanced Deep Learning.
  Accurate risk stratification in Stage II colorectal cancer is essential for treatment decision-making, as current guidelines recommend adjuvant chemotherapy only for patients with a high risk of relapse. We aimed to develop and validate an artificial intellige…
  pubmed Magisson F, He Z, Millward J, Harris A 等 2026 Jul 28 置信度 0.82
• Transdermal delivery of biologics.
  Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabolic, inflammatory, oncological and infectious diseases. Despite their clinical success, their wider use remains…
  pubmed Vora LK, Gowda BHJ, Strauss J, Tijani A 等 2026 Jul 28 置信度 0.82
• Artificial intelligence in antimicrobial stewardship: prediction, clinical applications, and implementation challenges.
  Antimicrobial resistance (AMR) continues to threaten modern infectious diseases practice. Antimicrobial stewardship programmes (ASPs) remain central to optimizing antimicrobial use, yet stewardship has become increasingly challenging because of rising clinical…
  pubmed Matsuo T, Nigo M, Borgonovo F, Yoshida H 等 2026 Jul 28 置信度 0.82
• An interpretable machine learning approach to predict left ventricular aneurysm formation following primary PCI in STEMI: A retrospective study with independent external validation.
  Left ventricular aneurysm (LVA) remains a clinically important structural complication after primary percutaneous coronary intervention (pPCI) in patients with ST-segment elevation myocardial infarction (STEMI). This study aimed to develop and externally valid…
  pubmed Zhao W, Ruan G, Wang H, Li M 等 2026 Nov 1 置信度 0.82
• Fundamentals of Foundation Models in Radiological Image Processing: Opportunities, Limitations, and Clinical Case Studies.
  Artificial intelligence (AI) has become firmly established in radiology, with most current applications relying on task-specific convolutional neural networks (CNNs) such as U-Net architectures for segmentation, detection, and classification. The emergence of …
  pubmed Shahzadi I, Borggrefe J 2026 Jul 28 置信度 0.82
• Social Perceptions of Konzo Disease in Nampula Province, Mozambique.
  Konzo, a neurodegenerative disease prevalent in Nampula Province, Mozambique, presents debilitating symptoms known locally as "mantakassa" ("that which breaks legs"). Although the biomedical literature attributes its cause to insufficiently processed cassava a…
  pubmed Raimundo L, Rodrigues D, Silva MG 2026 Jul 28 置信度 0.82
• Sex Differences in Presentation and Outcomes of Transthyretin Amyloid Cardiomyopathy.
  Transthyretin amyloid cardiomyopathy (ATTR-CM) is more often diagnosed in men than in women but sex-specific data remain limited.
  pubmed Ciocca N, Fuentes Artiles R, Studer Bruengger A, Hugelshofer S 等 2026 Aug 置信度 0.82
• Lesion-Level Association Between Artificial Intelligence-Derived Coronary Calcium Volume and Plaque Vulnerability.
  Extensively calcified lesions are typically at low risk for lesion-level acute events, which may be related to less vulnerable plaques.
  pubmed van der Waerden RGA, van der Zande JL, Mol JQ, Cancian P 等 2026 Aug 置信度 0.82
• Temporal linguistic shifts in oncology randomized controlled trials following large language model availability: A corpus analysis of 21,392 publications.
  Public availability of large language models (LLMs) from late 2022 has raised concerns about AI-assisted writing in scientific publishing. Oncology randomized controlled trials (RCTs) underpin cancer treatment guidelines and regulatory decisions worldwide, yet…
  pubmed Silva A, E Silva VS 2026 Sep 9 置信度 0.82
• Risk stratification of IDH-wildtype glioblastoma: Deep learning on histopathology images and biological interpretation.
  The prognosis of IDH wild-type glioblastoma (GBM) remains poor, with limited pathological biomarkers for survival prediction. This study aimed to develop a prognostic model using deep learning-based pathological features and characterize its biological relevan…
  pubmed Ma Z, Wang Z, Zhao B, Wang W 等 2026 Jul 26 置信度 0.82
• Causality-inspired representation learning with spatiotemporal memory for polyp detection in endoscopic videos.
  Early detection of colorectal polyps is crucial to reduce the morbidity and mortality associated with colorectal cancer. However, during endoscopy, continuous camera motion and the complex clinical environment often degrade key visual cues (e.g., polyp morphol…
  pubmed Hu Z, Sun C, Zheng Q, He X 等 2026 Jul 25 置信度 0.82
• Machine learning, WGCNA and molecular docking identify SLC transporter genes as biomarkers and drug targets in Helicobacter pylori-associated carcinogenesis.
  Solute carrier (SLC) family genes govern transmembrane transport and cellular metabolism, yet their systematic roles from Helicobacter pylori infection to gastric cancer (GC) remain undefined. By integrating multiple GEO datasets with weighted gene co-expressi…
  pubmed Lv N, He X, Cai T, Xu Y 等 2026 Jul 25 置信度 0.82
• DINCH induces intestinal toxicity through "ROS-ENO1-PA-lipid peroxidation" axis: An integrated approach combining network toxicology and experimental validation.
  Cyclohexane-1,2-dicarboxylic acid diisononyl ester (DINCH), as a "green" alternative to phthalates, has been widely used in consumer products and industrial materials. Consequently, its environmental and human exposure levels continue to rise, necessitating a …
  pubmed Kang K, Zhu T, Huang Y 2026 Sep 1 置信度 0.82
• Sustaining Canada's cancer workforce: A pan-Canadian review of innovations in the rising needs for equitable care.
  Cancer care systems globally are facing a growing crisis driven by rising cancer incidence, increasing clinical and social complexity, persistent inequities in access to specialized services, and mounting pressures on the oncology workforce. While innovations …
  pubmed Tomblin Murphy G, Sampalli T, Domm D, Peacock S 等 2026 Oct 置信度 0.82
• The art/science continuum in the age of artificial intelligence.
  pubmed Currie GM 2026 Sep 置信度 0.82
• Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset.
  Postoperative complications contribute significantly to patient morbidity and mortality. Early prediction of such complications could enable the care team to intervene promptly and improve patient outcomes. Existing surgical risk scores are easy to use but lac…
  pubmed Shukla M, Fodor P, Yelika S, Ahn N 2026 Jul 28 置信度 0.82
• Propagation of Interpreter Errors by Ambient AI Scribes: Study Using Simulated Clinical Encounters.
  In simulated English and Spanish clinical encounters, ambient AI scribes propagated interpreter errors into clinical notes, with patterns varying by speaker role and error type. These findings highlight the need for further evaluation of AI-scribe performance …
  pubmed Rabotin A, Aguilar E, Sandoval Gonzalez S, Iniguez A 等 2026 Jul 28 置信度 0.82
• Predictive Performance of Artificial Intelligence Models for Stroke Risk Stratification: A Systematic Review and Meta-Analysis.
  BackgroundStroke remains a leading cause of mortality, long-term disability, and healthcare expenditure worldwide, placing substantial strain on healthcare systems, particularly in low- and middle-income countries. Effective risk stratification can facilitate …
  pubmed Nopour R 2026 Jan-Dec 置信度 0.82
• Evaluation of large language models in a national orthopaedic proficiency examination: Implications for health informatics and medical education.
  ObjectiveThis study evaluates the performance of large language models (LLMs)-ChatGPT-4.0, Gemini 2.0 Pro, o3-mini, Doctor GPT and DeepSeek-V3-in a national orthopaedic proficiency examination and explores their implications for health informatics and medical …
  pubmed Arı B 2026 Jul-Sep 置信度 0.82
• Large Language Models in German Continuing Medical Education Assessments: Protocol for a Fully Crossed Experimental Study.
  Continuing medical education (CME) is a legal and ethical obligation for physicians in Germany. The rapid rise of large language models (LLMs) such as ChatGPT, Gemini, Claude, and Grok raises concerns about the integrity of CME assessments, as LLMs can already…
  pubmed Özmen L, Burisch C, Gödde D, Breuckmann F 等 2026 Jul 28 置信度 0.82
• Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.
  Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a promising nonpharmacological alternative, its clinical utility is currently constrained by limited accessibility, inconsi…
  pubmed Xiao C, Wei J, Li T, Cao J 等 2026 Jul 28 置信度 0.82
• The Performance of ChatGPT-4o and DeepSeek-R1 in Interpreting Thyroid Nodule Ultrasound Text Reports: Multicenter Study.
  Although thyroid nodules are detected in up to 60% of adults on ultrasound, the vast majority are benign, creating a substantial decision-making burden compounded by heterogeneous practice guidelines. Large language models (LLMs) show promise in processing uns…
  pubmed Xie Y, Liu J, Zhan B, Zhang K 等 2026 Jul 28 置信度 0.82
• From doing to being: Generative AI, workplace affordances, and professional identity.
  Generative artificial intelligence (AI) is having a profound impact on medical education, and much of our discourse has adopted a technical lens to examine tool use, faculty upskilling strategies, and the risks of AI for learning. Learner socialisation, role m…
  pubmed Lavercombe M 2026 Jul 28 置信度 0.82
• Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.
  Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threatening long-term survival. Current strategies to prevent recurrence and progressive graft fibrosis remain suboptimal, with…
  pubmed Bhat M, Sun Y, Manickavel P, Maleki S 等 2026 Aug 1 置信度 0.82
• A Large Language Model-Driven System for Advance Care Planning Training Among Health Care Providers in the Chinese Context: Development and Technical Evaluation.
  With the expanding need for advance care planning (ACP), innovative educational strategies for training health care providers are increasingly required. Large language model (LLM)-based ACP chatbots offer a novel and potentially effective solution to enhance h…
  pubmed Tan M, Tang S, Kan S, Wu B 等 2026 Jul 28 置信度 0.82
• Toward universal representations of the living: Physiological invariance for transportable medical AI.
  Medical artificial intelligence (AI) models often degrade when deployed beyond their training environment, suggesting reliance on context-specific correlations rather than stable physiological structure. This article considers whether improved transportability…
  pubmed Vallée A 2026 Jul 置信度 0.82
• Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.
  Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between environmental and socioeconomic factors. Understanding these predictive factors is essential for developing robust forecastin…
  pubmed Suttirat P, Chadsuthi S, Aekthong S, Rocklöv J 等 2026 Jul 置信度 0.82
• Mapping the Reliability-Readability Gap in the Education of Patients With Age-Related Macular Degeneration Across 6 Large Language Models: Comparative Evaluation Study.
  Artificial intelligence-generated health information is increasingly used by patients, but its reliability, visible transparency indicators, and readability remain uncertain in specialized ophthalmic conditions such as age-related macular degeneration (AMD).
  pubmed Lu Z, Cao H, Ma C, Zheng J 等 2026 Jul 28 置信度 0.82
• AI-assisted OCT biomarker quantification reveals distinct retinal fluid trajectories in central retinal vein occlusion.
  To characterize longitudinal patterns of intraretinal (IRF) and subretinal fluid (SRF) dynamics using AI-assisted optical coherence tomography (OCT) biomarker quantification and to evaluate their association with long-term visual outcomes in eyes with central …
  pubmed Kaiser KP, Steiner D, Jaggi D, Ay C 等 2026 Jul 28 置信度 0.82
• Transformer-based rapid dose calculation for carbon ion therapy.
  Online adaptive radiotherapy (OART) improves the precision of carbon ion therapy by enabling dynamic treatment plan adjustment. However, its implementation is critically constrained by the limited development of fast and accurate dose engines for both plan adj…
  pubmed Liu Y, Hu Y, He P, Zhao Y 等 2026 Aug 置信度 0.82
• Applications of natural language processing and large language models in sports injury assessment and rehabilitation decision-making: a scoping review.
  This study aims to provide a scoping review of the current applications of natural language processing (NLP) and large language models (LLMs) in the assessment of sports injuries and rehabilitation decision-making, with the goal of identifying the technical me…
  pubmed Wang H, Liu Y, Hu L, Wang X 2026 置信度 0.82
• A comparative study of the performance of different large language models in the Chinese National Pharmacist Licensing Examination.
  To systematically evaluate the overall performance, subject-based differences, and question type adaptability of five mainstream large language models (ChatGPT, DeepSeek, Kimi, Qwen, and Doubao) in the Chinese National Pharmacist Licensing Examination (CNPLE),…
  pubmed Huang C, Sun Y, Liu W 2026 置信度 0.82
• Sequential multi-site fine-tuning for incremental deployment of large language models for mobility functional status extraction.
  This study evaluated sequential multi-site fine-tuning of large language models (LLMs), simulating incremental deployment across institutions for extracting mobility functional status from unstructured clinical notes.
  pubmed Liu X, Garg M, Jeon E, Jia H 等 2026 Aug 置信度 0.82
• Internal Medicine Physicians' Reflections on AI Tools for Research Tasks in Turkey: A Qualitative Descriptive Study Following a Brief Educational Session.
  This study explored internal medicine physicians' perceptions of AI tools used for research tasks (eg, literature searching, reference management, scholarly writing support, and visualization) following a brief educational session.
  pubmed Zorlu Görgülügil G, Özdede M, Özbilen M, Polat ZP 等 2026 置信度 0.82
• Patient Perspectives on Systemic Bevacizumab Treatment for Recurrent Respiratory Papillomatosis.
  Systemic bevacizumab has been shown to reduce the surgical burden of recurrent respiratory papillomatosis (RRP). However, no previous studies have examined specific patient-reported differences in quality-of-life (QoL) between systemic bevacizumab and surgical…
  pubmed Gao S, Jones J, Triantafillou V, Akst LM 等 2026 Aug 置信度 0.82
• Deep learning analysis of capillary refill dynamics in ischemic colitis: differentiating reversible vs. gangrenous mucosa.
  Ischemic colitis remains a diagnostic challenge, as endoscopic grading of mucosal ischemia is subjective and insensitive for transmural infarction. While the majority of non-gangrenous cases are resolved conservatively, gangrenous mucosa necessitates immediate…
  pubmed Yasin Z, Sajid H, Saleem NUA, Abu Nahla U 2026 置信度 0.82
• Deep learning model to generate patient-specific pulmonary vein isolation lines from successful atrial fibrillation ablation cases: a proof-of-concept study.
  Pulmonary vein isolation (PVI) is an established standard ablation for atrial fibrillation (AF), however, AF recurrence remains a major clinical challenge. We developed a deep learning model to generate patient-specific PVI lines on pre-ablation 3D voltage map…
  pubmed Sakamoto K, Tohyama T, Yokoyama H, Watanabe T 等 2026 置信度 0.82
• A comprehensive study based on large-sample multi-omics integration and machine learning to decode mitochondria-associated genes: from digestive tract tumours to gastric cancer.
  Mitochondria-related genes play a crucial role in driving tumour cell progression, but little is known about their molecular mechanisms and biological pathways. This study conducted a comprehensive analysis of the mitochondrial key gene LACTB2 in digestive tra…
  pubmed Zhang W, Tang YL, Chen YY, Shang Y 等 2026 置信度 0.82
• A multi-omics framework integrating gut microbiota, blood metabolites, and immune cells to elucidate the pathogenesis of Alzheimer's disease.
  Alzheimer's disease (AD) develops through complex interactions between the central nervous system and peripheral systems. The microbiota-metabolite-immune axis has emerged as an important focus of AD research. However, the coordinated mechanisms that regulate …
  pubmed Wang B, Yan W, Zhang Y 2026 置信度 0.82
• Statistical Consistency in Artificial Intelligence-Assisted Computations: A Comparison of SPSS 31.0 and GPT-5.5.
  Background Artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, is increasingly being used for statistical interpretation and research support. While traditional statistical software such as IBM SPSS remains the gold standar…
  pubmed Strale FF Jr, German RM, Mendes-Kramer V, Hammer SB 等 2026 Jun 置信度 0.82
• TMEM97 regulates cholesterol biosynthesis and mitochondrial metabolism in gastric carcinoma.
  Cancer cells regulate cholesterol levels to sustain proliferation and metabolic adaptation. Here, we show that TMEM97 coordinates cholesterol sensing with oxidative phosphorylation in gastric cancer. Loss of TMEM97 reduced in vitro proliferation and impaired x…
  pubmed Ada SK, Yozbatıran Y, Beyaz BY, Sarı C 等 2026 Aug 21 置信度 0.82
• Interactions between minimal amount of exercise and low-density lipoprotein cholesterol on incident dementia after stroke.
  Cognitive impairment often follows stroke. Regular physical activity has been shown to be associated with reduced dementia risk, while the association with low-density lipoprotein cholesterol (LDL-C) is still not clear. We examined the association of minimal a…
  pubmed Hong LW, Chiu HH, Chiu PY, Wang YC 等 2026 Aug 21 置信度 0.82
• Intelligent diagnosis of ossicular chain malformations on CT: development and clinical efficacy of a cascaded AI framework.
  The aim of this study was to develop and validate a cascaded artificial intelligence (AI) framework using a segmentation-discrimination strategy for automated detection of ossicular chain malformations (OCM) on computed tomography scans.
  pubmed Gao Y, Wang R, Yang J, Li Y 等 2026 置信度 0.82
• Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine.
  Following technological developments and new landmark trials, the diagnostic work-up of symptomatic chronic coronary artery disease (CAD) has evolved. Clinical guidelines now favor noninvasive anatomical assessments by coronary CT angiography (CCTA) as the fir…
  pubmed Lenell J, Grodecki K, Kwiecinski J, Slomka PJ 等 2026 Jan 置信度 0.82
• The evolving role of the histotechnologist in digital, value based healthcare.
  Digital pathology and value-based healthcare (VBHC) are converging to reshape diagnostic medicine, yet the histotechnologist, whose tissue preparation enables every glass slide and whole slide image (WSI), remains largely invisible in this transformation. This…
  pubmed Patel AU, Pirain D, Lamba Saini M 2026 Jul 28 置信度 0.82
• What does generative artificial intelligence mean for the future of nicotine and tobacco scientific publishing?
  pubmed Notley C 2026 Aug 24 置信度 0.82
• Validation of a Machine Learning Approach to the Analysis of Multifocal Electroretinograms for Hydroxychloroquine Retinopathy.
  Hydroxychloroquine (HCQ) retinopathy is detectable through multimodal ophthalmic screening, yet individual diagnostic tests each have inherent limitations. Machine learning may simplify monitoring, but few HCQ screening algorithms have undergone rigorous exter…
  pubmed Wong G, Mercer G, Ballios BG, Wright T 2026 Jul 1 置信度 0.82
• Comparative Evaluation of AI Chatbots for Testicular Cancer Education: Validity, Information Quality, and Readability.
  Large language models (LLMs) are increasingly used in health information seeking, but their performance in testicular cancer education remains unclear. This study evaluated the validity, reliability, and readability of responses generated by four widely used a…
  pubmed Zhao J, Sun S, Zhao A, Liang R 等 2026 Jul 28 置信度 0.82
• Governing Clinical Readiness Claims Derived from Medical AI Benchmark Results.
  pubmed Dong Y, Cheng J, Ding C, Lu R 2026 Jul 28 置信度 0.82
• Stigma, lost autonomy, reclaimed identity, and uncertainty around safe movement: a qualitative interview study of physical activity in gout.
  To explore patients' experiences and perceptions of physical activity in the context of gout and gout flares. Interpretive description informed the design of this qualitative study. Individual interviews were conducted with 25 people with gout. An interview gu…
  pubmed Stewart S, Anderson L, Ka'ai T, Rudolph K 等 2026 Jul 28 置信度 0.82
• [Concepts and clinical application of digital 3D microscopy].
  Heads-up 3D surgery is becoming increasingly more important in ophthalmic microsurgery. Digital 3D visualization systems supplement traditional binocular microscopes by high-resolution monitor presentations and enable improved depth perception, ergonomics, tea…
  pubmed Eckardt F, Plettenberg P, Hattenbach LO, Priglinger S 2026 Sep 置信度 0.82
• Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.
  This study developed a magnetic resonance imaging (MRI)-based artificial intelligence (AI) framework for ordered pubertal olecranon bone age (BA) staging and evaluated internal performance and preliminary cross-centre transportability.
  pubmed Luo Y, Zhang X, Pan S, Yu F 2026 置信度 0.82
• Hidden risk in normal myocardial perfusion scans: AI-detected proximal coronary calcium on CT attenuation maps improves prognosis.
  Spatial distribution of coronary artery calcium (CAC) may provide additional prognostic value in patients undergoing SPECT and PET myocardial perfusion imaging (MPI). We aimed to automatically identify CAC in proximal segments from attenuation correction CT (C…
  pubmed Zhou J, Miller RJH, Shanbhag A, Killekar A 等 2026 Jul 28 置信度 0.82
• Using Machine Learning to Automate the Analysis of an Olfactory Habituation-Dishabituation Task in Mice.
  Improving the efficiency and accuracy of annotation and extraction of performance data from mouse behavioral tasks will improve both the throughput and scientific value of preclinical research.
  pubmed Boyanova S, Correa MH, Bains RS, Wiseman FK 2026 Aug 置信度 0.82
• Patient-specific multimodal learning with multi-view contrastive alignment for chest X-ray report generation.
  Radiology reports play a pivotal role in guiding treatment planning and enabling effective doctor-patient communication. However, their manual composition imposes a substantial workload on radiologists. Although automatic radiology report generation has emerge…
  pubmed Miao Q, Liu K, Ma Z, Li Y 等 2026 Aug 3 置信度 0.82
• The role of machine learning in early detection, accurate diagnosis, and timely treatment of diseases.
  The contemporary healthcare landscape is experiencing a significant transformation driven by the rapid growth of digital health data and advancements in computational technologies. At the center of this evolution is Machine Learning (ML), a branch of artificia…
  pubmed Shrivastava A, Tripathi A, Rajput J 2026 Jul 28 置信度 0.82
• Radiograph-based Deep Learning Algorithm for Assisting Bone Tumor Risk Assessment: A Multicenter Study.
  Background Accurate radiograph-based risk stratification is critical for bone tumor management. However, the multicenter performance of the Bone Reporting and Data System (Bone-RADS) and the added value of deep learning-based decision support remain unclear. P…
  pubmed Song C, Xu J, Jiang T, Wang X 等 2026 Jul 置信度 0.82
• Scalable discovery of homomeric protein-protein interactions from cross-linking mass spectrometry data with CLAUDIO 2.0.
  Cross-linking mass spectrometry (XL-MS) is a powerful biochemical approach for residue-level characterization of protein structures and interactions under near-native conditions. The growing scale of XL-MS datasets demands scalable analysis pipelines that capt…
  pubmed Löser T, Röhl A, Baier M, Lupas A 等 2026 Aug 置信度 0.82
• Community-Driven Research Priorities for Genetic Counseling: Shaping the Future of Genetic Counseling Research by Centering Multicultural Perspectives.
  Community-based participatory research (CBPR), a research approach that centers the collective strengths of community-researcher partnerships, can direct future genetic counseling (GC) research initiatives toward issues that are critical to communities most im…
  pubmed Johnson VR, Fisher ER, Culhane-Pera KA, Lumpkins CY 等 2026 Aug 置信度 0.82
• ECG-Based Artificial Intelligence for Classifying Left Ventricular Dysfunction and Heart Failure With Preserved Ejection Fraction.
  Left ventricular (LV) dysfunction and heart failure with preserved ejection fraction (HFpEF) often present with early signs that are frequently overlooked or attributed to other conditions. This study proposes a novel, externally validated artificial intellige…
  pubmed Karabayir I, Gilbert O, Valika A, Celik T 等 2026 Aug 4 置信度 0.82
• A Multitask Deep Learning Model for Pediatric Echocardiography Analysis.
  Congenital heart defects afflict ≈1% of all births worldwide. Although deep learning has shown significant promise in automating and improving adult echocardiography analysis, existing pediatric-based models are often limited to single tasks and specifi…
  pubmed Cho J, Mathur M, Kaur D, Duda M 等 2026 Sep 置信度 0.82
• Dental Clinical Procedures using Artificial Intelligence
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• Explanations of convergence theories
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• Artificial Intelligence and Risk Management in Finance: A Scientometric Analysis
  Artificial Intelligence (AI) is revolutionizing the tools used in the prediction, automation, and decision-making processes in risk management. This paper performs a scientometric analysis of the application of AI in risk management using the Scopus database. …
  crossref Arpita Sharma, Anil Khurana, Deepika Goel, Sanjay Saini 2026-04-16T19:50:24Z 置信度 0.70
• Heterogeneous Patent Graph Prompt Learning
  crossref Xi Zeng, Pei-Yuan Lai, Chang-Dong Wang, Qing-Yun Dai 2026-01-27T20:06:08Z 置信度 0.70
• Same AI, different pathways: Unpacking mechanisms of AI-mediated learning across discipline-institution contexts
  Large language models (LLMs) are transforming higher education, yet their learning benefits likely depend on students’ AI literacy and how they prompt and verify AI outputs. This mixed-methods study investigates how AI literacy relates to prompting proficiency…
  crossref Qinjie Shen 2026-05-05T07:17:49Z 置信度 0.70
• ICAIM 2026 Cover Page
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• The future of work: a human-centric approach with artificial intelligence
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• State of the art artificial intelligence assisted disease detection tools
  crossref Sushanta Kumar Das, Rahul Mishra, Amit Samanta, Saumendu Deb Roy 等 2026-07-24T08:30:54Z 置信度 0.70
• TRACE: An embodied paper-based human–AI co-doodling ecosystem with authorship traces
  Background While early ideation benefits from loose, ambiguous sketches on paper, most generative AI tools are screen-based, high-fidelity outputs and prompt-heavy control. These conditions can disrupt creative flow, increase fixation risk, and blur authorship…
  crossref Byungsoo Kim 2026-08-06T15:29:08Z 置信度 0.70
• Artificial Intelligence Needs Sensors: Building the Data Layer for Artificial Intelligence-Accelerated Discovery
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• Title page
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• Algorithmic validation
  crossref Tshilidzi Marwala 2026-02-20T10:57:30Z 置信度 0.70
• Artificial-Intelligence-Foundation Exam Questions Pdf 2026 - Fast Track Your Success
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• Index
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• Copyright and Reprint Permission
  crossref 2026-08-28T19:12:54Z 置信度 0.70
• DeepSoundVisionNet: A new approach to urban sound classification using visual representations of audio signals
  A novel approach for urban sound classification using visual representations of audio signals presented in this study. Leveraging the UrbanSound8K dataset, audio signals are transformed into visual formats through Chromagram, Short-Time Fourier Transform (STFT…
  crossref Ilkay Cinar 2026-02-17T08:06:03Z 置信度 0.70
• Scope and application of artificial intelligence in food supply chain management
  crossref Thania Maion Melo, Jenyffer Guerra, Cristina L.M. Silva 2026-05-29T11:36:54Z 置信度 0.70
• Towards Semantic Understanding of Graph Neural Network Layers Embedding with Functional Semantic Activation Mapping
  Graph Neural Networks (GNNs) are now a standard tool for modelling graph structured data in applications such as molecular property prediction, drug discovery, recommender systems, and citation networks. However, despite their strong predictive performance, th…
  crossref Kislay Raj, Alessandra Mileo 2026-01-09T18:56:31Z 置信度 0.70
• Solving assembly line balancing problems with reinforcement learning
  crossref Adil Baykasoğlu, Mümin Emre Şenol, Behice Meltem Kayhan 2025-11-15T06:24:41Z 置信度 0.70
• The role of learning and development in artificial intelligence-transformed pharma industry
  crossref Islam Elsaeed Hassan Elkholy 2026-08-28T12:54:38Z 置信度 0.70
• The Trajectory of Sustainable Development: From Nascent Concerns to Global Imperatives
  crossref Tankiso Moloi 2026-04-22T23:40:38Z 置信度 0.70
• A Review of Artificial Intelligence in Education: What is Ahead, What is Left Behind at Global Scale?
  This narrative review synthesizes recent research on artificial intelligence (AI) in education to address gaps in understanding its diverse roles, integration strategies, and pedagogical implications. The review aims to evaluate AI integration within curricula…
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• ParaKplex: A parallel local search algorithm for the maximum K-Plex problem
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