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• Integration of Machine Learning in Educational Processes
  crossref Soumita Sen, Krishnendu Ghosh 2026-02-02T09:13:25Z 置信度 0.70
• Children, Adults, and Machines as Discovery Systems
  crossref David Klahr 2003-04-04T16:55:36Z 置信度 0.70
• Introduction to Reinforcement and Systemic Machine Learning
  This chapter discusses limitations of reinforcement learning and the concept of systemic learning. The systemic machine-learning paradigm is discussed along with various concepts and techniques. The chapter also covers an introduction to traditional learning m…
  crossref 2012-07-19T11:27:22Z 置信度 0.70
• Chapter 7: Machine Learning Clustering with GPT-4
  crossref 2024-06-04T02:00:52Z 置信度 0.70
• Wavelength-dependent responses and machine learning in nanophotonics modeling
  Machine learning techniques have been proposed in the literature for the modeling of photonic devices. These techniques can be used to speed up the design process. The data samples needed to build machine learning models are collected from electromagnetic simu…
  crossref Francesco Ferranti 2024-06-18T12:54:59Z 置信度 0.70
• Evaluating Machine Learning Models
  As a field, machine learning is still in its infancy. Advanced machine learning has only been explored over the last 25 years, which has fueled data science as a profession. Thus, the data science industry is still in a phase of wonderment at the endless poten…
  crossref Arjun Panesar 2020-12-15T14:05:55Z 置信度 0.70
• Authenticating Signals Using Machine Learning
  Signal authentication is an important frontier in the rapid evolution of digital security. This research explores the integration of machine learning and steganography techniques and highlights their important role in improving signal authentication. Machine l…
  crossref Aditya Anand, Aniket Khartade, Ankit Maurya, S.K. Moon 2025-05-23T17:02:44Z 置信度 0.70
• "Reducing Carbon Emissions in Model Training: EcoConscious Machine Learning"
  As the demand for computational resources in machine learning continues to grow, so too does the environmental impact associate with model training. This paper addresses the urgent need for eco-conscious practices in machine learning by proposing strategies to…
  crossref Nabya kumari, Diganta Bhattacharyya 2026-06-18T11:06:12Z 置信度 0.70
• Inference for the Generalization Error
  crossref Claude Nadeau, Yoshua Bengio 2003-09-12T17:07:28Z 置信度 0.70
• Hybrid deep learning and GARCH-family models for forecasting volatility of cryptocurrencies
  The combination of Deep Learning and GARCH-type models has been proved to be superior to the single models in forecasting of volatility in various markets such as energy, main metals, and especially stock markets. To verify this hypothesis for cryptocurrencies…
  crossref Bahareh Amirshahi, Salim Lahmiri 2023-04-10T01:53:03Z 置信度 0.70
• Machine Learning-Based Stroke Prediction Using Clinical Feature Engineering and Cost-Sensitive Learning
  Stroke prediction using machine learning faces severe class imbalance (19.52:1) and asymmetric misclassification costs in highly imbalance datasets. We developed eight WHO/CDC/ADA-validated features and systematically evaluated 18 model configurations comprisi…
  crossref Vaibhav Chandrakar, Yogesh Kumar Soni, T. Sahil Rao, Divya Soni 2026-02-25T20:55:03Z 置信度 0.70
• Sensor Cloud Intrusion Detection Based on Discrete Optimization Algorithm and Machine Learning
  In the development process of the Internet, computer technology and network communication have been rapidly applied.Network security has become a research focus.Based on the discrete cloud intrusion detection method, through sensing a large number of data sign…
  crossref 2023-02-06T01:57:18Z 置信度 0.70
• The Induction of Dynamical Recognizers
  crossref Jordan B. Pollack 2003-04-04T16:55:36Z 置信度 0.70
• Understanding Machine Learning Opportunities
  crossref Parag Kulkarni 2017-03-30T03:10:26Z 置信度 0.70
• Deep echo state networks in data marketplaces
  Data Marketplaces are the digital platform for data buyers and data sellers to trade information as valuable products or items. The expectation taken for granted from the users of a data marketplace is the truth of the exchanged information. However, the trade…
  crossref Will Serrano 2023-02-22T02:36:36Z 置信度 0.70
• Inversely designed free-form plasmonics with machine learning
  Machine learning has enabled a paradigm shift in the discovery and development of structured photonic materials and devices. Here, we report a diverse set of inversely designed plasmonic structures, devices, and systems for wavefront control, imaging, computin…
  crossref Wenshan Cai 2026-05-27T18:24:57Z 置信度 0.70
• Implementing Valiant's Learnability Theory Using Random Sets
  crossref E.M. Oblow 2003-04-04T16:55:36Z 置信度 0.70
• Machine Learning Architectures for Pedagogical Data-Driven Teaching, Learning, and Assessment
  The rapid evolution of the modern world necessitates continuous nurturing of knowledge and skills. Conventional instructional strategies, which often rely on lectures with students as passive listeners, don’t always produce the learning sought, nor do they eff…
  crossref R. Kanniga Devi, P.K.A. Chitra, Sriram Chakaravarthy Srinivasan 2026-04-13T07:45:45Z 置信度 0.70
• Enhancing breast cancer detection accuracy through machine learning, deep learning and transfer learning techniques for clinical practice
  Abstract Breast cancer is a pervasive global health concern, impacting millions of women worldwide. Timely detection and precise diagnosis are pivotal factors in improving patient outcomes. This review presents a comprehensive analysis of machine learning (ML)…
  crossref Jothi Ganesan, Vaanpriya Krishnan, Thirumalaisamy Rathinavel, K. S. Shalini 等 2025-12-11T13:15:55Z 置信度 0.70
• Lower Bound Methods and Separation Results for On-Line Learning Models
  crossref Wolfgang Maass, György Turán 2003-04-04T16:55:36Z 置信度 0.70
• Forgetting Exceptions is Harmful in Language Learning
  crossref Walter Daelemans, Antal Van Den Bosch, Jakub Zavrel 2002-12-22T05:04:10Z 置信度 0.70
• Medicine: Applications of Machine Learning
  crossref 2012-02-07T13:44:39Z 置信度 0.70
• Machine Learning
  crossref L. G. Valiant 2017-09-05T15:02:27Z 置信度 0.70
• The glim for surgical patients and machine learning analysis to predict complications
  crossref J.R. Henrique, R.G. Pereira, C.N. Rodrigues, Á.R.S. Ferreira 等 2020-11-09T21:54:01Z 置信度 0.70
• Using a stepwise approach to simultaneously develop and validate machine learning based prediction models
  Accurate diagnosis of a disease is essential in healthcare. Prediction models, based on classical regression techniques, are widely used in clinical practice. Machine Learning (ML) techniques might be preferred in case of a large amount of data per patient and…
  crossref M. Haalboom, S. Kort, J. van der Palen 2021-06-19T10:54:48Z 置信度 0.70
• A comprehensive survey on machine learning applications for drilling and blasting in surface mining
  Drilling and blasting operations are pivotal for productivity and safety in hard rock surface mining. These operations are restricted due to complexities such as site-specific uncertainties, safety risks, and environmental and economic constraints. Machine Lea…
  crossref Venkat Munagala, Srikanth Thudumu, Irini Logothetis, Sushil Bhandari 等 2023-12-11T17:02:31Z 置信度 0.70
• 4. From classical to quantum machine learning
  In recent years, Machine Learning (ML) has started to be ubiquitously applied to practically most of the human activity domains. Although traditional, or classical machine learning (CML) approaches are useful in solving many complex tasks, there are still many…
  crossref Arit Kumar Bishwas, Ashish Mani, Vasile Palade 2020-07-10T08:08:32Z 置信度 0.70
• Attribute Assisted Interpretation Confidence Classification Using Machine Learning
  An attribute assisted classification deriving estimates of interpretation confidence was performed. Instantaneous and coherency attributes were used in a supervised followed by an unsupervised classification resulting in an error envelope of the interpretation…
  crossref Wolfgang Weinzierl 2018-01-23T12:20:07Z 置信度 0.70
• The Future of Machine Learning
  crossref Shyamasree Ghosh, Rathi Dasgupta 2022-05-04T17:03:22Z 置信度 0.70
• What Is Machine Learning?
  Chapter 4 starts with an introduction to machine learning (ML), with the concepts presented as simple pictorial examples that aid the reader to understand ML with ease. The relationship between artificial intelligence, machine learning and deep learning is bri…
  crossref Shriram K. Vasudevan, Nitin Vamsi Dantu, Sini Raj Pulari, T. S. Murugesh 2023-08-21T16:10:19Z 置信度 0.70
• Risk-Guided Screening for Atrial Fibrillation Using Electronic Health Records.
  Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, externally validate, and prospectively test a machine learning prediction model using electronic health records (EHRs) to guide AF screening.
  pubmed Nadarajah R, Wu J, Wahab A, Reynolds C 等 2026 Aug 25 置信度 0.82
• Single-Cell Dissection of the Immune Microenvironment in Intrahepatic Metastasis of Multifocal Hepatocellular Carcinoma.
  Intrahepatic metastasis in multifocal hepatocellular carcinoma is associated with poor prognosis and therapeutic resistance, yet the immune mechanisms driving disease progression remain unclear. Here, we analyzed genetic and immune differences between primary …
  pubmed Xu Y, Zhang C, Ji Z, Liu C 等 2026 置信度 0.82
• Artificial Intelligence integration and health system performance: effects on diagnostic accuracy, operational efficiency, and workforce outcomes in medical imaging departments.
  The rapid digitalization of healthcare has positioned Artificial Intelligence (AI) as a key driver of transformation in medical imaging. While its technical capabilities are well established, evidence on its real-world impact on departmental performance and wo…
  pubmed Aljibali AS 2026 置信度 0.82
• Artificial intelligence, autism care, and health equity: a public health narrative review.
  Autism spectrum disorder (ASD) is a common, lifelong neurodevelopmental condition whose recorded prevalence, diagnostic delays, and uneven distribution of specialist services create a growing public health challenge. Conventional screening and diagnostic pathw…
  pubmed Han X, Weng L, Xu H 2026 置信度 0.82
• An integrated, wearable, tubeless micro-negative pressure system for closed incision management: a translational preclinical and clinical study.
  Closed incision management remains a challenge in postoperative care, largely due to the difficulty of maintaining a stable wound microenvironment in routine clinical practice. Although negative pressure therapy has demonstrated clinical benefits, its real-wor…
  pubmed Ti Y, Yue J, Cao X, Chen R 等 2026 置信度 0.82
• Advancing Tumor Treatment Through Artificial Intelligence and Mathematical Modeling: A Comprehensive Review.
  Solid tumors emerge from uncontrolled cell division and interactions with neighboring cells that influence their growth and resistance to therapy. Anti-cancer drugs are developed to disrupt these processes, but they often damage healthy cells, making treatment…
  pubmed Kamran M, Majeed A, Haque ASMR, Abdullah JY 2026 Aug 置信度 0.82
• Pleuroparenchymal fibroelastosis-like findings identify an idiopathic pulmonary fibrosis subgroup with shortened telomeres and poor prognosis.
  Idiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease (ILD) with poor prognosis. Radiological pleuroparenchymal fibroelastosis (PPFE)-like findings, characterised by upper-lobe subpleural fibrosis, have been associated with w…
  pubmed Otoshi R, Kitamura H, Niwa T, Murohashi K 等 2026 Jul 置信度 0.82
• Diagnosis and treatment progress of upper eyelid abnormalities in thyroid-eye disease.
  Thyroid eye disease (TED) is the most common orbital disorder among adults. Among its many clinical features, upper eyelid abnormalities-namely, retraction, lid lag, and swelling-frequently cause functional and cosmetic problems. This article reviews current k…
  pubmed Gai C, Wang B 2026 置信度 0.82
• Development and validation of a prognostic model for stage IV breast cancer based on primary tumor resection with machine learning methods: retrospective cohort study.
  Primary Tumor Resection (PTR) remains controversial among women with stage IV breast cancer.
  pubmed Wang Y, Hou J, Chen X, Zhu H 等 2026 置信度 0.82
• Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation.
  Interstitial lung disease (ILD) is a major driver of morbidity and mortality across systemic autoimmune rheumatic diseases (SARDs), with systemic sclerosis-associated ILD (SSc-ILD) providing the most extensive evidence base. In this context, progressive pulmon…
  pubmed Chang SH, McDermott GC, Lee YA, Kang EH 等 2026 Apr 1 置信度 0.82
• Consumer Health Information: A Narrative Review.
  Consumer Health Information (CHI) encompasses the dissemination of information and the cultivation of appropriate attitudes toward healthcare, as well as specific professional skills, aimed at altering behaviors and enhancing the health status of consumers. Th…
  pubmed Dehnavi MJ, Peyman N, Mansourzadeh MJ, Amiri P 等 2026 置信度 0.82
• Diagnostic Accuracy of Artificial Intelligence in Predicting Admission Status, Intensive Care Requirements, and Mortality in the Emergency Department: A Systematic Review and Meta-Analysis.
  Predicting patient outcomes in the emergency department is crucial for effective resource management and enhancing the quality of care. Recent advancements in artificial intelligence have facilitated accurate predictions of patient outcomes; however, consisten…
  pubmed Hosseini Kasnavieh SM, Shaker SH, Milanifard M, Hessam R 等 2026 置信度 0.82
• Prevalence and Content of Generative Artificial Intelligence Use Policies in Iranian Medical Science Journals.
  The rapid growth of generative artificial intelligence (AI) tools has created new opportunities for scientific publishing while also introducing challenges related to research integrity and editorial ethics. Although awareness of these opportunities and challe…
  pubmed Alipour-Tehrani M, Hojati SM, Arshadi H, Erfanmanesh M 2026 置信度 0.82
• Fully automated deep learning MAPSE: retrospective analysis and real-time clinical application.
  Mitral annular plane systolic excursion (MAPSE) is an accessible echocardiographic measure of left ventricular (LV) function. However, manual measurement methods are operator-dependent and time-consuming. We developed a multistep deep learning (DL) method for …
  pubmed Haga MM, Katla NL, Holmstrøm V, Holte E 等 2026 Jan 置信度 0.82
• Development of an Iranian Clinical Guideline on Perioperative Exercise Therapy for Metabolic and Bariatric Surgery: A Delphi Consensus Study Using the AGREE II Framework.
  This guidance aims to advance current understanding of the benefits of exercise therapy and to present an exercise protocol for the preoperative and postoperative periods surrounding metabolic and bariatric surgery (MBS).
  pubmed Nejati P, Kabir A, Mazaherinezhad A, Dadgostar H 等 2026 Jul 31 置信度 0.82
• Engineering safety into AI-assisted music medicine for headache management: a transparent guardrail framework.
  While generative artificial intelligence enables large-scale, individualized, and digitally scalable interventions, its deployment introduces model instability and algorithmic reasoning errors. To ensure patient safety, the next frontier for AI-assisted music …
  pubmed Luo X, Pei Z, Yin AJ 2026 置信度 0.82
• Machine learning approach for predicting the severity risk of obstructive sleep apnea syndrome.
  Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) has a high global prevalence and is prone to causing various serious complications. Our objective is to develop severity stratification of OSAHS by integrating multiple commonly available clinical features base…
  pubmed Wang Q, Yang X, Xu S, Wu H 等 2026 置信度 0.82
• Third-party governance and artificial intelligence for diabetes management in primary health care, China.
  Fragmented primary health care in China fails to tackle the growing burden of noncommunicable diseases. Despite substantial investment, fewer than half of patients with diabetes achieve glycaemic control.
  pubmed Tang W, Peng Q, Li M, Zheng N 等 2026 Aug 1 置信度 0.82
• Selective enhancement of cost sensitivity by methylphenidate in adult ADHD: a randomized placebo-controlled trial.
  Attention-deficit hyperactivity disorder (ADHD) is associated with impairments in real-life decisions, many involving balancing costs and benefits. Increasing dopamine and norepinephrine with stimulant medication improves decision-making in ADHD. However, it i…
  pubmed Pedersen ML, Mowinckel AM, Ziegler S, Fredriksen M 等 2026 Jul 28 置信度 0.82
• Emerging diagnostic strategies in neonatal cholestasis: toward earlier and more accurate identification of biliary atresia.
  Timely diagnosis of biliary atresia remains critical in infants with neonatal cholestasis, as delays in recognition are associated with reduced native liver survival and poorer outcomes following hepatoportoenterostomy. However, distinguishing biliary atresia …
  pubmed Nonga D, Hartjes K, Lakhani A, Wawrzyniak A 等 2026 Jul 23 置信度 0.82
• Tissue Biology and the Biomechanics of Modern Gastrointestinal Stapling: Principles for Successful Surgical Stapling.
  BackgroundThe integration of gastrointestinal (GI) tissue biology with modern stapler mechanics remains a critical gap in optimizing surgical outcomes. There have been many advancements in surgical technology that attempt to optimize underlying tissue mechanob…
  pubmed Bagnati C, Lee A, Ortiz J 2026 Jul 28 置信度 0.82
• Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology.
  Traditionally, cytology expertise has been equated with professional experience. However, the transition to whole-slide imaging and artificial intelligence (AI) necessitates a shift from exhaustive screening to rapid verification. The goal of this study was to…
  pubmed Abe N, Nishimura Y, Yamashita K, Kawamorita T 等 2026 Aug 置信度 0.82
• The role of pollen monitoring in allergology and otolaryngology: from environmental exposure assessment to personalized patient care.
  <p><strong>Introduction:</strong> Pollen monitoring plays an important role in modern allergy care.<br />Quantitatively determining airborne pollen concentrations serves as a clinically relevant<br…
  pubmed Lipiec A, Rapiejko J, Jurkiewicz D 2026 Jul 21 置信度 0.82
• AI-Assisted Decision-Support Framework for Breast Density and Background Parenchymal Enhancement Assessment in Contrast-Enhanced Mammography.
  Interobserver variability in breast density and Background Parenchymal Enhancement (BPE) assessment remains a major limitation in Contrast- Enhanced Mammography (CEM) reporting consistency. Building on the BPE-CEM Standard Scale (BCSS) framework introduced in …
  pubmed Di Grezia G, Nazzaro A, Schiavone L, Cisternino E 等 2026 Jul 22 置信度 0.82
• Integrating AI in Cardiovascular Systems: Innovations in Diagnosis, Risk Prediction, and Management.
  Worldwide, cardiovascular diseases remain the leading contributors to illness and death, which hinders rapid diagnosis and efficient treatment. Recent developments in artificial intelligence (AI) have transformed cardiovascular medicine by enabling the integra…
  pubmed Patil SB, Patil YP, Patil KS, Bandaru N 等 2026 Jul 23 置信度 0.82
• Molecular Imaging in Pancreatic Cancer: Current Applications and Future Perspectives.
  Pancreatic cancer ranks among the most lethal malignancies, characterized by a five-year survival rate of approximately 10%. This dismal prognosis is largely attributable to diagnoses occurring at advanced stages and the inherent limitations of conventional im…
  pubmed Liu Y, Lan K, Sun Z, Huang W 2026 Jul 13 置信度 0.82
• Pharmaceutical Compounding as a Pillar of Personalized Oncology: Current Applications, Emerging Technologies, and Future Perspectives.
  Personalized oncology is transforming cancer care by tailoring therapeutic strategies to the molecular and clinical characteristics of individual patients. However, increasing treatment complexity, interpatient variability, and the growing use of advanced ther…
  pubmed Mascarenhas-Melo F, Pinheiro R, Victor F, Pina ME 等 2026 Jul 13 置信度 0.82
• Fluoroquinolone Exposure and Cancer Risk in Interstitial Lung Disease: A Propensity-Score-Matched Cohort Study Using Cox and Competing-Risk Models.
  Background: This study aimed to comprehensively investigate the complex association between the use of fluoroquinolone (FQ) antibiotics and cancer risk, with a specific focus on patients with interstitial lung disease (ILD)-a unique clinical population charact…
  pubmed Sun YF, Chiu YT, Ko YE, Huang YW 等 2026 Jul 10 置信度 0.82
• Integrative Network Pharmacology and Molecular Docking Analysis Reveals the Multitarget Mechanisms of Pterostilbene in Neurodegenerative Diseases.
  Background: Neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS), differ in etiology but share several convergent pathological mechanisms. Pterostilbene (PT…
  pubmed Rosiak N, Stojceski F, Maroni G, Piontek B 等 2026 Jul 8 置信度 0.82
• A Review of Deep Learning Methods for Multimodal Medical Image Fusion.
  Multimodal medical image fusion (MMIF) aims to integrate complementary information from different imaging modalities into a single, more informative image to support clinical diagnosis. Since 2017, a growing number of deep learning-based approaches have been p…
  pubmed Shi Y, Rigou M 2026 Jul 22 置信度 0.82
• Machine Learning for Radiomics in Oncology: Challenges, Limitations, and Future Directions.
  In precision oncology, the combination of the strengths of both histopathology and medical imaging provides a fertile ground for tumor characterization. Although histopathology offers a definitive cellular diagnosis, this approach is invasive and only provides…
  pubmed Missaoui R, Saadaoui W, Del Coco M, Helali A 等 2026 Jul 21 置信度 0.82
• A Robotic Ultrasound System for Automated Abdominal Aorta Screening: Feasibility Study in Healthy Volunteers.
  Ultrasound is safe, portable, and relatively low cost, and robotic ultrasound research is expanding across many diagnostic applications. Within this context, abdominal aortic aneurysm (AAA) screening remains comparatively unexplored, with few systems reporting…
  pubmed Zheng Y, Geale A, Kruse P, Paraniroopasingam A 等 2026 Jul 13 置信度 0.82
• Digital Twin-Based Virtual Reality Framework for Interaction and AI-Assisted Control of a Parallel Surgical Robot.
  The rapid advancement of robot-assisted minimally invasive surgery (RAMIS) has created an increasing demand for integrated solutions that combine advanced robotic actuation, sensing, and intelligent control within unified training and operational frameworks. T…
  pubmed Covaciu F, Hajjar NA, Iordan AE, Corina R 等 2026 Jul 11 置信度 0.82
• Classification and Segmentation of Medical Images Using Cross-Representation Attention Fusion and Fuzzy Image Enhancement.
  This paper proposes a Cross-Representation Attention-Based Neural Network with fuzzy image enhancement for joint classification and segmentation of chest X-ray and kidney images. First, each input image is transformed into three complementary representations u…
  pubmed Buriboev AS, Oh R, Akhram N, Dusonov K 等 2026 Jul 9 置信度 0.82
• Feature-Level Fusion of Surface Electromyography and Mechanomyography Signals for MVC-Normalized Shoulder Abduction Force-Level Classification in Healthy Adults.
  Accurate recognition of upper-limb force levels is important for wearable movement monitoring and rehabilitation engineering, yet the value of combining surface electromyography (sEMG) and mechanomyography (MMG) for shoulder force classification remains incomp…
  pubmed Zhou C, Gao Y, Gou X, Yao J 等 2026 Jul 9 置信度 0.82
• AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future Directions.
  Artificial intelligence (AI) has rapidly emerged as a transformative tool in virology, offering new opportunities for the detection, classification, and surveillance of viral pathogens. Recent advances in machine learning, deep neural networks, and multimodal …
  pubmed Khelil H, Palumbo R, Roviello GN 2026 Jul 20 置信度 0.82
• Advances in Intranasal CNS Targeting: Integrating Formulations, Devices, Computational Fluid Dynamics, and 3D Printing.
  Nose-to-brain (N2B) delivery is a practical, non-invasive strategy for CNS targeting that can increase brain exposure while limiting systemic exposure. This review integrates three milestones in N2B delivery, formulations, devices, and quantitative evaluation …
  pubmed Shaghlil L, Al-Ebini Y, Shawabkeh MJA, Adam F 等 2026 Jul 22 置信度 0.82
• Peptide-Drug Conjugates for Targeted Delivery in Hematological Malignancies: From Design Principles to Clinical Application.
  Hematological malignancies account for over 1.3 million new cases and approximately 700,000 deaths annually. Despite advances in targeted therapies, immunotherapies, and antibody-drug conjugates, relapse, refractory disease, and acquired drug resistance remain…
  pubmed Zhou N, Li M, Huang Y, Wang Y 等 2026 Jul 13 置信度 0.82
• Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.
  Influenza viruses continue to pose a significant threat to both animal and public health due to their rapid evolution and the frequent emergence of antiviral resistance. Host-directed antiviral (HDA) strategies, which target host factors essential for viral re…
  pubmed Hui X, Ding S, Gao S, Xu S 等 2026 Jun 27 置信度 0.82
• An Analysis of the Nutritional Value of Diets Generated by Large Language Models Under Average User Conditions-3(LM)Diet Study.
  Background/Objectives : AI tools are becoming increasingly common, including in areas related to health and diet. However, there are no studies indicating the nutritional value of diets generated by large language models (LLMs). The aim of this study was to an…
  pubmed Dobrowolski H 2026 Jul 18 置信度 0.82
• NutriSteppe-AI: Development, Architecture, and Explainable Design of a Large Language Model-Driven Chatbot for Personalized Health Menu Generation.
  Background/Objectives : Suboptimal dietary patterns are among the leading modifiable contributors to global morbidity and mortality, particularly in cardiovascular disease, type 2 diabetes mellitus (T2DM), obesity, metabolic syndrome, and hypertension. Digital…
  pubmed Salkhanova A, Nabigazinova E, Kaldybay A, Omirbekova A 等 2026 Jul 9 置信度 0.82
• Beyond Resistance Genes: Pseudomonas aeruginosa as a Complex Adaptive System Driving Persistence, Evolution, and Antimicrobial Resistance.
  Pseudomonas aeruginosa ( P. aeruginosa ) is one of the most adaptable bacterial pathogens and a major cause of difficult-to-treat infections worldwide. Although antimicrobial resistance (AMR) is commonly attributed to resistance genes and their associated mech…
  pubmed Elbehiry A, Marzouk E 2026 Jul 14 置信度 0.82
• Radioguided Surgery and Axillary Management in Breast Cancer: From Molecular Imaging to 3D Navigation Toward Personalized Treatment.
  Radioguided surgery has become a key component of contemporary breast cancer care, supporting less invasive approaches while maintaining oncologic safety. This narrative review summarizes current practice and recent developments in radioguided breast and axill…
  pubmed Orozco Cortés J, Tapia M, Sancho JS, Arias CC 等 2026 Jul 8 置信度 0.82
• Real-World Insights into Stage I-III Non-Small Cell Lung Cancer in Spain in the Pre-Immunotherapy Era Using AI Techniques: The IntellyLUNG Study.
  Treatment of non-small cell lung cancer (NSCLC) has been transformed by immunotherapy and targeted therapies. We aimed to characterize clinical features, treatment patterns, and healthcare resource use in patients with early and locally advanced NSCLC before i…
  pubmed Corral Jaime J, de Castro J, Azkarate A, García Ledo G 等 2026 Jul 5 置信度 0.82
• Evaluation of an AI-Assisted Colony Counting System Across Multiple Culture Media Using Standardized Pure Culture Plates.
  Automated AI-assisted colony counting may improve standardization in digital microbiology, but performance can be affected by colony density, culture medium, colony morphology, adhesion, and plate artifacts. We evaluated the Starry-300 AI colony counting syste…
  pubmed Li X, Xiao M, Li D, Liu M 等 2026 Jun 30 置信度 0.82
• Machine Learning and Artificial Intelligence in Metallic Orthopedic Implant Development: A Narrative Review.
  Metallic orthopedic implants face persistent clinical challenges that have proved resistant to incremental conventional development. Machine learning and artificial intelligence offer a complementary paradigm for navigating the high-dimensional design spaces g…
  pubmed Guruprasad P, Sivaram P, Cibik A, Bombard PT 等 2026 Jul 14 置信度 0.82
• Current Clinical Perspectives of Biomarkers in Respiratory Diseases: A Narrative Review.
  Respiratory medicine is transitioning from symptom-driven, standardized care to a more precise, patient-specific approach guided by molecular profiling. This evolution is being enabled by advances in liquid biopsy, multiomics, and artificial intelligence (AI) …
  pubmed Gurajala S, Al Humoud SY, Al Yousif GF, Alameri RA 等 2026 Jul 21 置信度 0.82
• Lateral Geniculate Nucleus Volume Assessment Using Linear Mixed Model in Moderate and Advanced Retinitis Pigmentosa.
  Purpose: We aimed to compare the volume of the lateral geniculate nucleus (LGN) in patients with different stages of retinitis pigmentosa (RP) with regard to age, sex and symmetry of the LGN. Methods: The investigated cohort included 13 patients with moderate …
  pubmed Nowomiejska K, Niedziałek A, Toborek K, Czarnek-Chudzik A 等 2026 Jul 19 置信度 0.82
• The Facial Nerve in Contemporary Surgery: Anatomical Variability, Pathology-Induced Distortion, and Functional Preservation.
  Objectives: The facial nerve (FN) possesses one of the most intricate anatomical courses in the head and neck, traversing the brainstem, temporal bone, and parotid gland before terminating within the muscles of facial expression. Owing to its complex anatomy, …
  pubmed Łabętowicz P, Szczerba N, Olewnik Ł, Włodarczyk N 等 2026 Jul 17 置信度 0.82
• Development and External Validation of an Interpretable Machine Learning Framework for Predicting Pneumothorax-Associated Acute Kidney Injury: A Multicenter Retrospective Study.
  Background/Objectives: Intensive Care Unit (ICU) patients with pneumothorax face an elevated risk of developing Acute Kidney Injury (AKI) due to compromised hemodynamics and increased intrathoracic pressure. Early identification is crucial but challenging. Thi…
  pubmed Pan G, Fan J, Wang W, Yang G 等 2026 Jul 16 置信度 0.82
• Prevalence, Timing and Mutual Relationships of Acute and Chronic Respiratory Failure in People with Chronic Obstructive Pulmonary Disease.
  Background and aim: Prevalence, time to first diagnosis of acute (ARF) and chronic (CRF) respiratory failure in people with chronic obstructive pulmonary disease (COPD) are still unclear and were assessed in this 15-year, retrospective, observational, real-wor…
  pubmed Vitacca M, Riboni G, Paneroni M, Tibollo V 等 2026 Jul 16 置信度 0.82
• An Interpretable Center-Specific Machine Learning Model for Risk Stratification Following Mitral Valve Surgery: A Pilot Study.
  Background/Objectives: Mitral valve surgery is associated with substantial perioperative heterogeneity and risk of postoperative complications. Although established risk scores such as EuroSCORE II provide population-level prognostic estimates, their performan…
  pubmed Stańska A, Kilarska M, Janeczek M, Karolak W 等 2026 Jul 13 置信度 0.82
• Artificial Intelligence in Intracerebral Hemorrhage: Current Applications and Future Perspectives.
  Intracerebral hemorrhage (ICH) remains one of the most severe forms of stroke and is associated with high mortality, poor functional outcomes, and substantial healthcare burden worldwide. Despite advances in neurocritical care and minimally invasive surgical t…
  pubmed Xu X, Zhang J, Gan Z, Zhang S 等 2026 Jul 10 置信度 0.82
• Artificial Intelligence and Digital Pathology for Preoperative Lymphovascular Invasion and Metastatic Risk Prediction in Breast Cancer: Bridging the Biopsy-Resection Gap.
  Breast cancer is a leading global diagnosis where lymphovascular invasion (LVI) serves as a critical indicator of metastatic potential. Conventional assessment is often hindered by its reliance on postoperative findings, sampling errors, and subjective interob…
  pubmed Alshreef BS, Kariri YA 2026 Jul 9 置信度 0.82
• Reappraising Kidney Biopsy in Diabetic Kidney Disease: Histopathology, Clinical Course, and the Future of Precision Nephrology.
  Background : Diabetic kidney disease (DKD) is one of the leading causes of chronic kidney disease and kidney failure worldwide. Although most patients with diabetes are diagnosed clinically on the basis of albuminuria, estimated glomerular filtration rate decl…
  pubmed Pieczaba M, Dubniański B, Kuźnik Z, Wajerowska W 等 2026 Jul 9 置信度 0.82
• Artificial Intelligence for Perioperative Risk Prediction and Prevention in Cardiac Surgery: A Narrative Review and Proposed Conceptual Framework.
  Cardiac surgery remains a high-risk, resource-intensive domain in which perioperative complications significantly influence clinical outcomes, institutional performance, and healthcare expenditure. Despite advances in technique and protocol standardization, co…
  pubmed Magouliotis DE, Sicouri S, Androutsopoulou V, Bekiaridou A 等 2026 Jul 8 置信度 0.82
• Agreement, Calibration, and Exploratory Performance of AI-Based Ultrasound in Thyroid Nodule Assessment.
  Background/Objective: Ultrasound is the first-line imaging modality for thyroid nodule assessment; however, it remains highly operator-dependent and subject to interobserver variability. Artificial intelligence (AI)-based systems have been proposed to improve …
  pubmed Szydlarska D, Ciechomska M, Kędzierska-Kapuza K, Franek E 等 2026 Jul 8 置信度 0.82
• Interpretable Spectral Evidence Learning from Vis/NIR Imaging for Non-Destructive Authentication of Herbal Medicines.
  Rapid and non-destructive authentication of herbal medicines is important for quality control and market supervision. This study established an interpretable spectral evidence learning framework for visible and near-infrared (Vis/NIR) imaging-based authenticat…
  pubmed Fan Z, Ma C, Jing S, Huang J 等 2026 Jul 12 置信度 0.82
• Development and External Validation of a Machine Learning Model for Classification of Mild Cognitive Impairment and Dementia Using Clinical Data.
  Background and Objectives : As society ages, the number of patients with cognitive impairment is increasing. Machine learning methods that use structured clinical and cognitive-assessment data during routine diagnostic work-up may support and monitor structure…
  pubmed Kannenieks D, Priede Z, Millers A, Velins KK 2026 Jul 14 置信度 0.82
• Rethinking Dengue Preparedness in the Era of Climate Change, Urbanisation, and Digital Health: A Structured Narrative Review.
  Background and Objectives: Dengue is emerging as a multifaceted public health challenge that extends beyond traditional vector-borne disease frameworks. Climate change, rapid urbanisation, environmental transformation, global mobility, and digital ecosystems a…
  pubmed Dettori M, Deiana G, Palmieri A, Arghittu A 等 2026 Jul 10 置信度 0.82
• Comparison of Machine Learning Algorithms for Predicting Spine Surgery Duration.
  Background and Objectives : Accurate prediction of surgical duration is essential for efficient operating room management. Spine surgery frequently shows discrepancies between estimated and actual surgical duration, which can disrupt surgical scheduling and re…
  pubmed Ko M, Lee HC, Lee HS, Lee B 等 2026 置信度 0.82
• Artificial Intelligence and Emerging Digital Technologies Across the Stroke Continuum: From Risk Prediction to Real-Time Monitoring and Rapid Response.
  Stroke remains a leading cause of death and long-term disability worldwide, making prevention strategies a global health priority. Emerging technologies-including artificial intelligence (AI), wearable devices, digital health applications, and drone-assisted e…
  pubmed Gregorini M, Lorusso L, Airoldi L, Stefano MD 等 2026 Jun 29 置信度 0.82
• Multimodal Deep Learning Approaches for Lung Disease Detection: A Review.
  Lung diseases are among the leading global causes of morbidity and mortality, and existing reviews on deep learning (DL) for pulmonary diagnosis rarely integrate imaging, acoustic, and electronic health record (EHR) modalities within a single framework. We aim…
  pubmed Estay Zamorano B, Dehghan Firoozabadi A, Adasme P, Montiel Piña W 等 2026 Jun 24 置信度 0.82
• Humanization of Surgical Care in the Robotic Age: A Triangular Interaction Model Between the Surgeon, the Patient, and the Technology.
  Background/Objectives : In modern medicine, humanization of care is a central theme that highlights the complementarity of clinical care with empathy, communication, and patient-centered values. The increasing use of robotic surgery is rapidly modifying surgic…
  pubmed Zimmitti G, Portinaio MR, Morandi A, Terzi P 等 2026 Jul 21 置信度 0.82
• Cancer-Related Psychological Distress over the Past Decade: A Bibliometric Analysis of Research Trends, Hotspots, and Emerging Areas.
  Cancer-related psychological distress is a major concern in comprehensive oncology care because it substantially impairs patients' quality of life and may adversely affect treatment adherence, outcomes, and prognosis. Over the past decade, research in this fie…
  pubmed Wang L, Xu X, Hua B, Liu R 2026 Jul 20 置信度 0.82
• Schema Enforcement and Structured-Output Stability in Locally Deployed LLMs for Clinical Admission-Note Editing: A Proxy-Based Pre-Deployment Evaluation.
  Background: Reliable structured-output generation is a prerequisite for using large language models (LLMs) in automated clinical documentation workflows, but many evaluations focus on clinical quality before testing whether outputs are parseable, schema-compli…
  pubmed Yang YL, Chen CJ, Lin TK, Lin SC 等 2026 Jul 16 置信度 0.82
• Sleep-Related Breathing Disorders: A Comprehensive Review of Surgical Innovations and Evolving Technologies.
  Sleep-related breathing disorders (SRBDs) encompasses a spectrum of conditions that disrupt ventilation during sleep, leading to fragmented sleep and impaired gas exchange. Their high prevalence and substantial neurocognitive and mental health outcomes make SR…
  pubmed Kooner A, Man L, Best J, Litsky N 等 2026 Jul 10 置信度 0.82
• Why Nurses Intend to Override AI Alerts: How Alert Fatigue, Moral Distress, and Team Psychological Safety Shape Self-Reported Trust Calibration Toward Clinical Decision Support.
  Background and Objectives: Hospitals increasingly use AI tools that give nurses on-screen alerts and recommendations (AI-supported clinical decision support, AI-DSS). When nurses override these alerts too often, useful guidance can be lost; when they trust the…
  pubmed Clej E, Fizedean C, Gherman A, Ilie AC 等 2026 Jul 9 置信度 0.82
• Clinical AI Beyond Development: A Scoping Review of Deployment-Related Robustness, Algorithmovigilance, and Lifecycle Oversight.
  Clinical artificial intelligence (AI) is increasingly moving from proof-of-concept development into clinical evaluation, regulatory review, and routine care. This scoping review aimed to map and synthesise empirical evidence on clinical AI evaluation after mod…
  pubmed El Arab RA, Hussein Mustafa M, Almagharbeh WT, Ayoub MY 等 2026 Jul 8 置信度 0.82
• Science Is About Thinking: How Can We Protect Thinking Time in a Distracted Digital World?
  Rapid digital transformation has generated pervasive attentional disruption in research and professional settings, raising the question of how the temporal conditions that support deep scientific thinking can be preserved. Our narrative review aimed to (i) syn…
  pubmed Dhahbi W, Pyne DB, Dergaa I, Zeitouny D 等 2026 Jun 27 置信度 0.82